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Prof. Dr. Gui-Yun Tian
School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, UK

Basic Info


Research Keywords & Expertise

0 Structural Health Monitoring
0 System Design
0 sensor network
0 Sensor technologies for non-destructive testing and evaluation
0 Electromagnetic and optical sensors

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Structural Health Monitoring
sensor network
System Design

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Short Biography

Guiyun Tian received a B.Sc. in metrology and instrumentation and an M.Sc. in precision engineering from the University of Sichuan, Chengdu, China, in 1985 and 1988, respectively, and a Ph.D. from the University of Derby, Derby, U.K., in 1998. From 2000 to 2006, he was a Lecturer, Senior Lecturer, Reader, Professor, and Head of the group of Systems Engineering, respectively, at the University of Huddersfield, U.K. Since 2007, he has been based at Newcastle University, Newcastle upon Tyne, U.K., where he has been Chair Professor in Sensor Technologies. Currently, he is also an adjunct professor with the School of Automation Engineering, University of Electronic Science and Technology of China. He has coordinated several research projects from the Engineering and Physical Sciences Research Council (EPSRC), Royal Academy of Engineering, NSFC and FP7, on top of this he also has good collaboration with leading industrial companies such as Airbus, Rolls Royce, BP, nPower, Network rail, TWI and several pipeline companies.

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Journal article
Published: 06 July 2021 in Journal of Sensors
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Concentrated stresses and residual ones are critical for the metal structures’ health, because they can cause microcracks that require emergency maintenance or can result in potential accidents. Therefore, an accurate approach to the measurement of stresses is key for ensuring the health of metal structures. The eddy current technique is an effective approach to detect the stress according to the piezoresistive effect. However, it is limited to detect the surface stress due to the skin effect. In engineering, the stress distribution is inhomogeneous; therefore, to predict the inhomogeneous stress distribution, this paper proposes a nondestructive approach which combines the eddy current technique and finite element (FE) method. The experimental data achieved through the eddy current technique determines the relationship between the applied force and the magnetic flux density, while numerical simulations through the FE method bridge the relationship between the magnetic flux density and the stress distribution in different directions. Therefore, we can predict the inhomogeneous stress nondestructively. As a case study, the applied stress in a three-point-bending simply supported beam was evaluated, and the relative error is less than 8% in the whole beam. This approach can be expected to predict the residual stress in metal structures, such as rail and vehicle structures, if the stress distribution pattern is known.

ACS Style

Yating Yu; Fei Yuan; Hanchao Li; Cristian Ulianov; Guiyun Tian. Prediction of Inhomogeneous Stress in Metal Structures: A Hybrid Approach Combining Eddy Current Technique and Finite Element Method. Journal of Sensors 2021, 2021, 1 -9.

AMA Style

Yating Yu, Fei Yuan, Hanchao Li, Cristian Ulianov, Guiyun Tian. Prediction of Inhomogeneous Stress in Metal Structures: A Hybrid Approach Combining Eddy Current Technique and Finite Element Method. Journal of Sensors. 2021; 2021 ():1-9.

Chicago/Turabian Style

Yating Yu; Fei Yuan; Hanchao Li; Cristian Ulianov; Guiyun Tian. 2021. "Prediction of Inhomogeneous Stress in Metal Structures: A Hybrid Approach Combining Eddy Current Technique and Finite Element Method." Journal of Sensors 2021, no. : 1-9.

Review
Published: 03 June 2021 in Sensors
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Pipelines play an important role in the national/international transportation of natural gas, petroleum products, and other energy resources. Pipelines are set up in different environments and consequently suffer various damage challenges, such as environmental electrochemical reaction, welding defects, and external force damage, etc. Defects like metal loss, pitting, and cracks destroy the pipeline’s integrity and cause serious safety issues. This should be prevented before it occurs to ensure the safe operation of the pipeline. In recent years, different non-destructive testing (NDT) methods have been developed for in-line pipeline inspection. These are magnetic flux leakage (MFL) testing, ultrasonic testing (UT), electromagnetic acoustic technology (EMAT), eddy current testing (EC). Single modality or different kinds of integrated NDT system named Pipeline Inspection Gauge (PIG) or un-piggable robotic inspection systems have been developed. Moreover, data management in conjunction with historic data for condition-based pipeline maintenance becomes important as well. In this study, various inspection methods in association with non-destructive testing are investigated. The state of the art of PIGs, un-piggable robots, as well as instrumental applications, are systematically compared. Furthermore, data models and management are utilized for defect quantification, classification, failure prediction and maintenance. Finally, the challenges, problems, and development trends of pipeline inspection as well as data management are derived and discussed.

ACS Style

Qiuping Ma; Guiyun Tian; Yanli Zeng; Rui Li; Huadong Song; Zhen Wang; Bin Gao; Kun Zeng. Pipeline In-Line Inspection Method, Instrumentation and Data Management. Sensors 2021, 21, 3862 .

AMA Style

Qiuping Ma, Guiyun Tian, Yanli Zeng, Rui Li, Huadong Song, Zhen Wang, Bin Gao, Kun Zeng. Pipeline In-Line Inspection Method, Instrumentation and Data Management. Sensors. 2021; 21 (11):3862.

Chicago/Turabian Style

Qiuping Ma; Guiyun Tian; Yanli Zeng; Rui Li; Huadong Song; Zhen Wang; Bin Gao; Kun Zeng. 2021. "Pipeline In-Line Inspection Method, Instrumentation and Data Management." Sensors 21, no. 11: 3862.

Journal article
Published: 28 March 2021 in Sensors
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Stress is the crucial factor of ferromagnetic material failure origin. However, the nondestructive test methods to analyze the ferromagnetic material properties’ inhomogeneity on the microscopic scale with stress have not been obtained so far. In this study, magnetic Barkhausen noise (MBN) signals on different silicon steel sheet locations under in situ tensile tests were detected by a high-spatial-resolution magnetic probe. The domain-wall (DW) motion, grain, and grain boundary were detected using a magneto-optical Kerr (MOKE) image. The time characteristic of DW motion and MBN signals on different locations was varied during elastic deformation. Therefore, a time-response histogram is proposed in this work to show different DW motions inside the grain and around the grain boundary under low tensile stress. In order to separate the variation of magnetic properties affected by the grain and grain boundary under low tensile stress corresponding to MBN excitation, time-division was carried out to extract the root-mean-square (RMS), mean, and peak in the optimized time interval. The time-response histogram of MBN evaluated the silicon steel sheet’s inhomogeneous material properties, and provided a theoretical and experimental reference for ferromagnetic material properties under stress.

ACS Style

Jia Liu; Guiyun Tian; Bin Gao; Kun Zeng; Yongbing Xu; Qianhang Liu. Time-Response-Histogram-Based Feature of Magnetic Barkhausen Noise for Material Characterization Considering Influences of Grain and Grain Boundary under In Situ Tensile Test. Sensors 2021, 21, 2350 .

AMA Style

Jia Liu, Guiyun Tian, Bin Gao, Kun Zeng, Yongbing Xu, Qianhang Liu. Time-Response-Histogram-Based Feature of Magnetic Barkhausen Noise for Material Characterization Considering Influences of Grain and Grain Boundary under In Situ Tensile Test. Sensors. 2021; 21 (7):2350.

Chicago/Turabian Style

Jia Liu; Guiyun Tian; Bin Gao; Kun Zeng; Yongbing Xu; Qianhang Liu. 2021. "Time-Response-Histogram-Based Feature of Magnetic Barkhausen Noise for Material Characterization Considering Influences of Grain and Grain Boundary under In Situ Tensile Test." Sensors 21, no. 7: 2350.

Journal article
Published: 04 February 2021 in Flow Measurement and Instrumentation
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Excitation technology plays an important part in the field of electromagnetic flowmeter (EMF). The form of the magnetic field directly determines the characteristics of the flow signal. No breakthrough has been made on the excitation technology since the invention of sinusoidal wave excitation, rectangular wave excitation, and double-frequency excitation. In this paper, firstly a new three-value trapezoidal wave excitation with transient responses is proposed. Then the signal model is established, and the verification experiments are carried out. Finally, flow calibration experiments and comparative experiments on the trapezoidal wave excitation are conducted on the experimental platform. The experiment results show that the electromotive force output by the EMF based on three-value trapezoidal wave excitation is linearly related to the flow velocity. When the flow velocity is 0.257 m/s, the relative error is only 1.635%. When the flow velocity reaches 2.133 m/s, the relative error is reduced to 0.432%. The three-value trapezoidal wave excitation with the transient analysis satisfies the requirements of the EMF with high accuracy. The research also shows that the excitation frequency has a great influence on the measurement accuracy of the EMF based on three-value trapezoidal wave excitation.

ACS Style

Liang Ge; Junxian Chen; Guiyun Tian; Junaid Ahmed; Qi Huang; Ze Hu. Study on a new electromagnetic flowmeter based on three-value trapezoidal wave excitation. Flow Measurement and Instrumentation 2021, 78, 101882 .

AMA Style

Liang Ge, Junxian Chen, Guiyun Tian, Junaid Ahmed, Qi Huang, Ze Hu. Study on a new electromagnetic flowmeter based on three-value trapezoidal wave excitation. Flow Measurement and Instrumentation. 2021; 78 ():101882.

Chicago/Turabian Style

Liang Ge; Junxian Chen; Guiyun Tian; Junaid Ahmed; Qi Huang; Ze Hu. 2021. "Study on a new electromagnetic flowmeter based on three-value trapezoidal wave excitation." Flow Measurement and Instrumentation 78, no. : 101882.

Journal article
Published: 06 January 2021 in IEEE Sensors Journal
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Cracks caused by long-term cyclic loading and harsh working environment may seriously lead to the catastrophic industrial safety accidents. Therefore, a quantitative and accurate characterization for the cracks is necessary to ensure safety of the key component (e.g. rolling contact fatigue of high speed rail track in particular). This paper investigates the motion induced eddy current (MIEC) of a direct current (DC) electromagnetic nondestructive testing (NDT) and proposes an approach to quantitative characterization the cracks in moving ferromagnetic material. The velocity effect as well as the distribution of MIEC of the ferromagnetic material under the DC electromagnetic probe are investigated firstly. Then, the relationships between the crack depth/width and detection signals are discovered. Finally, a quantitative characterization method of crack depth/width is proposed by experiment. The investigations indicate that for DC electromagnetic NDT, the dragging effect is related to the rate of the MIEC diffusion time, which is inversely proportional to the conductivity and permeability of metal, therefore, the higher speed, the more obvious the dragging effect is. The experiments show that the crack depth/width can be characterized quantitatively by the peak separation and differential value. The investigation in this paper show that the DC electromagnetic based on MIEC can be used not only for the crack detection in moving ferromagnetic metals such as bearings, gears, etc., but also for the quantitative characterization of cracks when there is rapid relative motion between the detection devices and the ferromagnetic metals (e.g., rail, pipe, etc.).

ACS Style

Fei Yuan; Yating Yu; Linfeng Li; Guiyun Tian. Investigation of DC Electromagnetic-Based Motion Induced Eddy Current on NDT for Crack Detection. IEEE Sensors Journal 2021, 21, 7449 -7457.

AMA Style

Fei Yuan, Yating Yu, Linfeng Li, Guiyun Tian. Investigation of DC Electromagnetic-Based Motion Induced Eddy Current on NDT for Crack Detection. IEEE Sensors Journal. 2021; 21 (6):7449-7457.

Chicago/Turabian Style

Fei Yuan; Yating Yu; Linfeng Li; Guiyun Tian. 2021. "Investigation of DC Electromagnetic-Based Motion Induced Eddy Current on NDT for Crack Detection." IEEE Sensors Journal 21, no. 6: 7449-7457.

Journal article
Published: 14 December 2020 in Sensors
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Nowadays, infrared thermography, as a widely used non-destructive testing method, is increasingly studied for impact evaluation of composite structures. Sparse pattern extraction is attracting increasing attention as an advanced post-processing method. In this paper, an enhanced sparse pattern extraction framework is presented for thermographic sequence processing and defect detection. This framework adapts cropping operator and typical component extraction as a preprocessing step to reduce the dimensions of raw data and applies sparse pattern extraction algorithms to enhance the contrast on the defect area. Different cases are studied involving several defects in four basalt-carbon hybrid fiber-reinforced polymer composite laminates. Finally, comparative analysis with intensity distribution is carried out to verify the effectiveness of contrast enhancement using this framework.

ACS Style

Jue Hu; Hai Zhang; Stefano Sfarra; Claudia Sergi; Stefano Perilli; Clemente Ibarra-Castanedo; Guiyun Tian; Xavier Maldague. Enhanced Infrared Sparse Pattern Extraction and Usage for Impact Evaluation of Basalt-Carbon Hybrid Composites by Pulsed Thermography. Sensors 2020, 20, 7159 .

AMA Style

Jue Hu, Hai Zhang, Stefano Sfarra, Claudia Sergi, Stefano Perilli, Clemente Ibarra-Castanedo, Guiyun Tian, Xavier Maldague. Enhanced Infrared Sparse Pattern Extraction and Usage for Impact Evaluation of Basalt-Carbon Hybrid Composites by Pulsed Thermography. Sensors. 2020; 20 (24):7159.

Chicago/Turabian Style

Jue Hu; Hai Zhang; Stefano Sfarra; Claudia Sergi; Stefano Perilli; Clemente Ibarra-Castanedo; Guiyun Tian; Xavier Maldague. 2020. "Enhanced Infrared Sparse Pattern Extraction and Usage for Impact Evaluation of Basalt-Carbon Hybrid Composites by Pulsed Thermography." Sensors 20, no. 24: 7159.

Journal article
Published: 30 October 2020 in Smart Materials and Structures
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ACS Style

Adi Mahmud Jaya Marindra; Gui Yun Tian. Chipless RFID sensor for corrosion characterization based on frequency selective surface and feature fusion. Smart Materials and Structures 2020, 29, 125010 .

AMA Style

Adi Mahmud Jaya Marindra, Gui Yun Tian. Chipless RFID sensor for corrosion characterization based on frequency selective surface and feature fusion. Smart Materials and Structures. 2020; 29 (12):125010.

Chicago/Turabian Style

Adi Mahmud Jaya Marindra; Gui Yun Tian. 2020. "Chipless RFID sensor for corrosion characterization based on frequency selective surface and feature fusion." Smart Materials and Structures 29, no. 12: 125010.

Journal article
Published: 14 September 2020 in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Eddy current testing (ECT) has been employed as a traditional non-destructive testing and evaluation (NDT&E) tool for many years. It has developed from single frequency to multiple frequencies, and eventually to pulsed and swept-frequency excitation. Recent progression of wireless power transfer (WPT) and flexible printed devices open opportunities to address challenges of defect detection and reconstruction under complex geometric situations. In this paper, a transmitter–receiver (Tx–Rx) flexible printed coil (FPC) array that uses the WPT approach featuring dual resonance responses for the first time has been proposed. The dual resonance responses can provide multiple parameters of samples, such as defect characteristics, lift-offs and material properties, while the flexible coil array allows area mapping of complex structures. To validate the proposed approach, experimental investigations of a single excitation coil with multiple receiving coils using the WPT principle were conducted on a curved pipe surface with a natural dent defect. The FPC array has one single excitation coil and 16 receiving (Rx) coils, which are used to measure the dent by using 21 C-scan points on the dedicated dent sample. The experimental data were then used for training and evaluation of dual resonance responses in terms of multiple feature extraction, selection and fusion for quantitative NDE. Four features, which include resonant magnitudes and principal components of the two resonant areas, were investigated for mapping and reconstructing the defective dent through correlation analysis for feature selection and feature fusion by deep learning. It shows that deep learning-based multiple feature fusion has outstanding performance for 3D defect reconstruction of WPT-based FPC-ECT. This article is part of the theme issue ‘Advanced electromagnetic non-destructive evaluation and smart monitoring’.

ACS Style

Lawal Umar Daura; Guiyun Tian; Qiuji Yi; Ali Sophian. Wireless power transfer-based eddy current non-destructive testing using a flexible printed coil array. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2020, 378, 20190579 .

AMA Style

Lawal Umar Daura, Guiyun Tian, Qiuji Yi, Ali Sophian. Wireless power transfer-based eddy current non-destructive testing using a flexible printed coil array. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2020; 378 (2182):20190579.

Chicago/Turabian Style

Lawal Umar Daura; Guiyun Tian; Qiuji Yi; Ali Sophian. 2020. "Wireless power transfer-based eddy current non-destructive testing using a flexible printed coil array." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2182: 20190579.

Preface
Published: 14 September 2020 in Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
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ACS Style

Gui Yun Tian; Theodoros Theodoulidis. Preface: advanced electromagnetic non-destructive evaluation and smart monitoring. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 2020, 378, 20190580 .

AMA Style

Gui Yun Tian, Theodoros Theodoulidis. Preface: advanced electromagnetic non-destructive evaluation and smart monitoring. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences. 2020; 378 (2182):20190580.

Chicago/Turabian Style

Gui Yun Tian; Theodoros Theodoulidis. 2020. "Preface: advanced electromagnetic non-destructive evaluation and smart monitoring." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 378, no. 2182: 20190580.

Journal article
Published: 31 July 2020 in IEEE Sensors Journal
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Due to rotational inertia, it is difficult to obtain accurate results of high-precision dynamic multi-component force or loads using traditional approaches including the theoretical calculations, simulations, and measurement. To minimize the impact of moment of inertia on dynamic measurement results, a two-stage measurement approach is proposed and tested in this paper. The proposed measurement approach based on synchronizing the measuring device with the shaft rotation. Piezoelectric sensors with wide frequency broadband ranges and high stiffness in contrast to strain gauges are adopted to measure the multi-component force based on the biaxial load cells. Static calibration of the measuring device has been studied to decouple the multi-component force. The corresponding maximum linearity, repeatability and interference error is 0.91 %, 1.82 %, and 1.38 % respectively. The interference error has been improved largely from 15.81 % before the adoption of static calibration. Another noticeable advantage from the proposed approach illustrates that the actual radial force is 26.97 %, which is a significant correction of the measurement results without compensation. The experimental results show that the proposed dynamic compensation method can effectively address the existing moment of inertia problem which could benefit the measurements of high-speed rotating machinery.

ACS Style

Yifei Gao; Zhijian Rao; Jingyao Yin; Gui Yun Tian; Ruisheng Li. Measurement of Multi-Component Hydraulic Loads With Compensation of Dynamic Load. IEEE Sensors Journal 2020, 21, 231 -238.

AMA Style

Yifei Gao, Zhijian Rao, Jingyao Yin, Gui Yun Tian, Ruisheng Li. Measurement of Multi-Component Hydraulic Loads With Compensation of Dynamic Load. IEEE Sensors Journal. 2020; 21 (1):231-238.

Chicago/Turabian Style

Yifei Gao; Zhijian Rao; Jingyao Yin; Gui Yun Tian; Ruisheng Li. 2020. "Measurement of Multi-Component Hydraulic Loads With Compensation of Dynamic Load." IEEE Sensors Journal 21, no. 1: 231-238.

Journal article
Published: 27 July 2020 in IEEE Access
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The early monitoring of downhole overflow can be effectively realized by the downhole annular electromagnetic flow detection system. In order to improve the accuracy of the electromagnetic measurement system of downhole annular flow, it is important to optimize the excitation system and electrodes of this system. This research focuses on the optimization of the electrodes for the electromagnetic measurement system of downhole annular flow, whose excitation system has been optimized. First, the basic principle of electromagnetic measurement of downhole annular flow is analyzed. Then, the influence of different positions of the four-point electrodes on the virtual current distributions is analyzed, and the optimum electrode positions and distributions are introduced. On this basis, the influence of shape and size of the large electrode on virtual current density distribution is analyzed. Based on the theoretical study of the influence of electrode on virtual current density distribution, taking hemispherical electrodes and arc electrodes as examples, this paper optimizes hemispherical electrodes and arc electrodes with different shapes and sizes by using finite element simulation method, and proposes three indexes to evaluate the annular virtual current density distributions when the electrodes of different shapes are used. The optimum parameters of shapes and sizes of the hemisphere electrodes and arc electrodes under specific structures of the downhole annular electromagnetic flow measurement system are obtained. This research has great significance for the optimization of electrodes in the downhole annular electromagnetic flow measurement system, and can also be used as reference for the electrode optimization of the traditional electromagnetic flowmeter.

ACS Style

Liang Ge; Dan Li; Qi Huang; Guiyun Tian; Guohui Wei; Junaid Ahmed. Electrodes Optimization of an Annular Flow Electromagnetic Measurement System for Drilling Engineering. IEEE Access 2020, 8, 138481 -138492.

AMA Style

Liang Ge, Dan Li, Qi Huang, Guiyun Tian, Guohui Wei, Junaid Ahmed. Electrodes Optimization of an Annular Flow Electromagnetic Measurement System for Drilling Engineering. IEEE Access. 2020; 8 (99):138481-138492.

Chicago/Turabian Style

Liang Ge; Dan Li; Qi Huang; Guiyun Tian; Guohui Wei; Junaid Ahmed. 2020. "Electrodes Optimization of an Annular Flow Electromagnetic Measurement System for Drilling Engineering." IEEE Access 8, no. 99: 138481-138492.

Journal article
Published: 27 July 2020 in IEEE Transactions on Magnetics
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Nondestructive Testing (NDT) for ferromagnetic material under motion condition is a challenging topic, because the distribution of magnetic fields inside the ferromagnetic material are more complicated due to the motion induced eddy current (MIEC) and ferromagnetic material magnetization. Therefore, a fast, accurate and automatic NDT technique to quantitative detection the crack in the moving ferromagnetic material is an urgent issue. Currently, Pulsed eddy current (PEC) technique are widely applied in quantitative crack characterization in metals, however, the literature focus on the investigation the velocity influence on PEC is rare. This paper performs a deep investigation on the velocity effect for PEC technique by numerical simulation and experiments, and the relationships of the speed and the PEC signal are discovered. The results show that the velocity effect can change the baseline value of the detection signal in PEC detection system. Moreover, the crack location, width and depth can be characterized by PEC with the high-speed when the crack appears in the high level stage of the excitation signal, and contrast to static PEC testing, motion detection has a stronger capability to characterize the crack depths. Based on the results, it is beneficial to propose a new high-speed inspection technique for the cracks characterization in the ferromagnetic material components, such as rotating metal components, pipelines and rail tracks.

ACS Style

Fei Yuan; Yating Yu; Bowen Liu; Guiyun Tian. Investigation on Velocity Effect in Pulsed Eddy Current Technique for Detection Cracks in Ferromagnetic Material. IEEE Transactions on Magnetics 2020, 56, 1 -8.

AMA Style

Fei Yuan, Yating Yu, Bowen Liu, Guiyun Tian. Investigation on Velocity Effect in Pulsed Eddy Current Technique for Detection Cracks in Ferromagnetic Material. IEEE Transactions on Magnetics. 2020; 56 (9):1-8.

Chicago/Turabian Style

Fei Yuan; Yating Yu; Bowen Liu; Guiyun Tian. 2020. "Investigation on Velocity Effect in Pulsed Eddy Current Technique for Detection Cracks in Ferromagnetic Material." IEEE Transactions on Magnetics 56, no. 9: 1-8.

Accepted manuscript
Published: 18 June 2020 in Smart Materials and Structures
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A passive monitoring technique for switch rails will be very attractive because it doesn't require extra excitations and can realize large area monitoring. However, complex wheel-rail interactions and sparse sensors will affect the accuracy of local damage identification. In contrast, an active monitoring technique has high local damage quantification ability but has low efficiency for large area monitoring. This study firstly presents a combination of piezoceramic material Lead zirconate titanate (PZT) wafers with accelerometers to configure a multifunctional sensor array that brings together active and passive monitoring mechanisms. The multifunctional sensor arrays are produced in a flexible form, which are adapted to complex geometry and are easy to install. In complementary passive monitoring, each sub area's health state between 2 accelerometers is represented by reconstructing transfer functions, which are calculated from rail vibrations. The reconstructed transfer function in conjunction with principal component analysis (PCA)-based feature extraction is utilized for estimating the damaged sub area. Then accurate local damage identification can be realized through the active guided waves technique and correlation-based diagnostic imaging in conjunction with singular value decomposition (SVD). Simulation and experimental studies show the proposed mechanisms can identify the damaged sub area and basically extract damage locations with different lengths correctly with sparse sensor array. Finally, based on a controlled experiment, the causes of the errors are evaluated and analyzed. The proposed mechanism can simplify data analysis, save monitoring time, and decrease the final cost.

ACS Style

Pan Hu; Haitao Wang; Gui Yun Tian; Yang Liu; Xin Li; Billie F (Jr) Spencer. Multifunctional flexible sensor array-based damage monitoring for switch rail using passive and active sensing. Smart Materials and Structures 2020, 29, 095013 .

AMA Style

Pan Hu, Haitao Wang, Gui Yun Tian, Yang Liu, Xin Li, Billie F (Jr) Spencer. Multifunctional flexible sensor array-based damage monitoring for switch rail using passive and active sensing. Smart Materials and Structures. 2020; 29 (9):095013.

Chicago/Turabian Style

Pan Hu; Haitao Wang; Gui Yun Tian; Yang Liu; Xin Li; Billie F (Jr) Spencer. 2020. "Multifunctional flexible sensor array-based damage monitoring for switch rail using passive and active sensing." Smart Materials and Structures 29, no. 9: 095013.

Journal article
Published: 18 June 2020 in IEEE Transactions on Industrial Informatics
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Locating and characterizing rolling contact fatigue (RCF) cracking in rails is gaining attention in the railway industry. Eddy current pulsed thermography (ECPT), by combining the benefits of electromagnetic excitation and thermal diffusion, can detect such cracks. To date, most studies focus on investigating specific features based on man-made specimens and verification on real cracks is lacking. To establish the best means of characterizing cracks of different inclination angles, eight spatial and temporal ECPT features are evaluated on idealized and real RCF cracks. Results show that longer time slots and pulse durations make the relations clearer. For evaluation of real RCF cracks, the area-based and the kurtosis-based features are the most suitable and robust measures for characterizing inclination angles.

ACS Style

Junzhen Zhu; Philip John Withers; Jianbo Wu; Feng Liu; Qiuji Yi; Zijun Wang; Gui Yun Tian. Characterization of Rolling Contact Fatigue Cracks in Rails by Eddy Current Pulsed Thermography. IEEE Transactions on Industrial Informatics 2020, 17, 2307 -2315.

AMA Style

Junzhen Zhu, Philip John Withers, Jianbo Wu, Feng Liu, Qiuji Yi, Zijun Wang, Gui Yun Tian. Characterization of Rolling Contact Fatigue Cracks in Rails by Eddy Current Pulsed Thermography. IEEE Transactions on Industrial Informatics. 2020; 17 (4):2307-2315.

Chicago/Turabian Style

Junzhen Zhu; Philip John Withers; Jianbo Wu; Feng Liu; Qiuji Yi; Zijun Wang; Gui Yun Tian. 2020. "Characterization of Rolling Contact Fatigue Cracks in Rails by Eddy Current Pulsed Thermography." IEEE Transactions on Industrial Informatics 17, no. 4: 2307-2315.

Journal article
Published: 12 June 2020 in IEEE Sensors Journal
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Nondestructive testing for natural microcracks is a critical challenge in assessing the surface and subsurface integrity of material. This paper proposes a shuttle-shaped sensing model with wide open inspection based on eddy current pulsed thermography (ECPT) system for natural microcrack detection on the specimens with complex geometry. To decrease the noise interference caused by uneven heating, the proposed model induces a unidirectional and uniform electromagnetic field in the region of interest. It significantly enhances thermal contrast and signal-to-noise ratio between non-defective and defective areas as well as improving the detectability and adaptability to different subjects. Besides, the direction of the infrared camera with respect to the specimen is set parallel to the specimen, which benefits the collection of the thermal signal. Experiments for several conductive cracks are implemented to verify the detectability of the proposed model.

ACS Style

Xiaofeng Li; Bin Gao; Zewei Liu; Gui Yun Tian. Microcracks Detection Based on Shuttle-Shaped Electromagnetic Thermography. IEEE Sensors Journal 2020, 20, 12961 -12971.

AMA Style

Xiaofeng Li, Bin Gao, Zewei Liu, Gui Yun Tian. Microcracks Detection Based on Shuttle-Shaped Electromagnetic Thermography. IEEE Sensors Journal. 2020; 20 (21):12961-12971.

Chicago/Turabian Style

Xiaofeng Li; Bin Gao; Zewei Liu; Gui Yun Tian. 2020. "Microcracks Detection Based on Shuttle-Shaped Electromagnetic Thermography." IEEE Sensors Journal 20, no. 21: 12961-12971.

Journal article
Published: 26 May 2020 in IEEE Systems Journal
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Fault diagnosis of rolling bearing plays a vital role in identifying incipient failures and ensuring the reliable operation of the mechanical system. To improve the performance of the whole machine-fault-diagnosis system and meet the requirements of low cost, low consumption, high-reliability in industrial wireless sensor networks (IWSNs), a high-accuracy least-time-domain features fault diagnosis algorithm based on the BP neural network (BPNN) for IWSNs is proposed in this article. First, the hardware of wireless multifeatures extraction sensor node is designed, which performs local-processing features extraction of four-dimensional parameters and five dimensionless features of the vibration signal. Then, the bearing-fault classification based on mentioned characteristics is investigated in the proposed BPNN with different hidden layer nodes. Furthermore, we make the comparisons of bearing-fault classification accuracy in terms of varying number of dimensional features, dimensionless features, and the combination features, searching a least-time-domain mixture features selection strategy for ensuring high-fault classification accuracy and proving the effectiveness and feasibility of the proposed method by experiments on drivetrain diagnostics simulator system. This article is conducted to provide new insights into how to select the least time-domain features for high-accuracy fault diagnosis and further giving references to more IWSNs scenarios.

ACS Style

Cuicui Du; Shang Gao; Naishu Jia; Deren Kong; Jian Jiang; Guiyun Tian; Yan Su; Qiaomu Wang; Chaoqun Li. A High-Accuracy Least-Time-Domain Mixture Features Machine-Fault Diagnosis Based on Wireless Sensor Network. IEEE Systems Journal 2020, 14, 4101 -4109.

AMA Style

Cuicui Du, Shang Gao, Naishu Jia, Deren Kong, Jian Jiang, Guiyun Tian, Yan Su, Qiaomu Wang, Chaoqun Li. A High-Accuracy Least-Time-Domain Mixture Features Machine-Fault Diagnosis Based on Wireless Sensor Network. IEEE Systems Journal. 2020; 14 (3):4101-4109.

Chicago/Turabian Style

Cuicui Du; Shang Gao; Naishu Jia; Deren Kong; Jian Jiang; Guiyun Tian; Yan Su; Qiaomu Wang; Chaoqun Li. 2020. "A High-Accuracy Least-Time-Domain Mixture Features Machine-Fault Diagnosis Based on Wireless Sensor Network." IEEE Systems Journal 14, no. 3: 4101-4109.

Journal article
Published: 26 May 2020 in IEEE Transactions on Industrial Informatics
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Eddy current testing (ET) and eddy current thermography (ECT) are both important non-destructive testing (NDT) methods that have been widely used in the field of conductive materials evaluation. Conventional ECT systems have often employed to test static specimens eventhough they are inefficient when the specimen is large. In addition, the requirement of high-power excitation sources tends to result in bulky detection systems. To mitigate these problems, a moving detection mode of multiphysics structured ET and ECT is proposed in which a novel L-shape ferrite magnetic yoke circumambulated with array coils is designed. The theoretical derivation model of the proposed method is developed which is shown to improve the detection efficiency without compromising the excitation current by ECT. The specimens can be speedily evaluated by scanning at a speed of 50-250 mm/s while reducing the power of the excitation current due to the supplement of ET. The unique design of the excitation-receiving structure has also enhanced the detectability of omnidirectional cracks. Moreover, it does not block the normal direction visual capture of the specimens. Both numerical simulations and experimental studies on different defects have been carried out and the obtained results have shown the reliability and detection efficiency of the proposed system.

ACS Style

Haoran Li; Bin Gao; Ling Miao; Dong Liu; Qiuping Ma; Gui Yun Tian; Wai Lok Woo. Multiphysics Structured Eddy Current and Thermography Defects Diagnostics System in Moving Mode. IEEE Transactions on Industrial Informatics 2020, 17, 2566 -2578.

AMA Style

Haoran Li, Bin Gao, Ling Miao, Dong Liu, Qiuping Ma, Gui Yun Tian, Wai Lok Woo. Multiphysics Structured Eddy Current and Thermography Defects Diagnostics System in Moving Mode. IEEE Transactions on Industrial Informatics. 2020; 17 (4):2566-2578.

Chicago/Turabian Style

Haoran Li; Bin Gao; Ling Miao; Dong Liu; Qiuping Ma; Gui Yun Tian; Wai Lok Woo. 2020. "Multiphysics Structured Eddy Current and Thermography Defects Diagnostics System in Moving Mode." IEEE Transactions on Industrial Informatics 17, no. 4: 2566-2578.

Journal article
Published: 21 May 2020 in Energies
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In this paper, a non-contact degradation evaluation method for insulated gate bipolar transistor (IGBT) modules is proposed based on eddy current pulsed thermography approach. In non-contact heat excitation procedures, a high-power induction heater is introduced to generate heat excitation in IGBT modules. The thermographs of the whole temperature mapping are recorded non-invasively by an IR camera. As a result, the joint degradation of IGBT modules can be evaluated by the transient thermal response curves derived from the recorded thermographs. Firstly, the non-destructive evaluation principle of the eddy current pulsed thermography (ECPT) system for an IGBT module with a heat sink is introduced. A 3D simulation module is built with physical parameters in ANSYS simulations, and then thermal propagation behavior considering the degradation impact is investigated. An experimental ECPT system is set up to verify the effectiveness of the proposed method. The experimental results show that the delay time to peak temperature can be extracted and treated as an effective indicative feature of joint degradation.

ACS Style

Xingliang Liu; Guiyun Tian; Yu Chen; Haoze Luo; Jian Zhang; Wuhua Li. Non-Contact Degradation Evaluation for IGBT Modules Using Eddy Current Pulsed Thermography Approach. Energies 2020, 13, 2613 .

AMA Style

Xingliang Liu, Guiyun Tian, Yu Chen, Haoze Luo, Jian Zhang, Wuhua Li. Non-Contact Degradation Evaluation for IGBT Modules Using Eddy Current Pulsed Thermography Approach. Energies. 2020; 13 (10):2613.

Chicago/Turabian Style

Xingliang Liu; Guiyun Tian; Yu Chen; Haoze Luo; Jian Zhang; Wuhua Li. 2020. "Non-Contact Degradation Evaluation for IGBT Modules Using Eddy Current Pulsed Thermography Approach." Energies 13, no. 10: 2613.

Journal article
Published: 11 May 2020 in IEEE Sensors Journal
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CFRP (carbon fiber reinforced plastic) has replaced conventional metallic materials in many industrial applications because of its outstanding mechanical performance such as high strength to ratio and resistance of fatigue. During the service life of the aerospace composite component, delamination left without detection can cause a sudden breakdown of the structure. Eddy current pulse-compression thermography (ECPuCT) is an emerging technique that combines traditional ECPT and pulse compression techniques. In this work, feature extraction techniques of impulse response have been exploited in terms of principal component analysis (PCA), kernel principal component analysis (K-PCA) and independent component analysis (ICA). Each technique is evaluated using SNR as the index to compare their performance. The results indicate that Kernel-PCA performs better than PCA and ICA based features when dealing with delamination ranged from defect#1(0.46mm) to defect#9 (2.30mm).

ACS Style

X. Lu; Q. Yi; G. Y. Tian. A Comparison of Feature Extraction Techniques for Delamination of CFRP Using Eddy Current Pulse-Compression Thermography. IEEE Sensors Journal 2020, 20, 12415 -12422.

AMA Style

X. Lu, Q. Yi, G. Y. Tian. A Comparison of Feature Extraction Techniques for Delamination of CFRP Using Eddy Current Pulse-Compression Thermography. IEEE Sensors Journal. 2020; 20 (20):12415-12422.

Chicago/Turabian Style

X. Lu; Q. Yi; G. Y. Tian. 2020. "A Comparison of Feature Extraction Techniques for Delamination of CFRP Using Eddy Current Pulse-Compression Thermography." IEEE Sensors Journal 20, no. 20: 12415-12422.

Journal article
Published: 28 April 2020 in Sensors
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Under the conditions of low flow rate and strong noise, the current electromagnetic flowmeter (EMF) cannot satisfy the requirement for measurement or separate the actual flow signal and interference signal accurately. Correlation detection technology can reduce the bandwidth and suppress noise effectively using the periodic transmission of signal and noise randomness. As for the problem that the current anti-interference technology cannot suppress noise effectively, the noise and interference of the electromagnetic flowmeter were analyzed in this paper, and a design of the electromagnetic flowmeter based on differential correlation detection was proposed. Then, in order to verify the feasibility of the electromagnetic flow measurement system based on differential correlation, an experimental platform for the comparison between standard flow and measured flow was established and a verification experiment was carried out under special conditions and with flow calibration measurements. Finally, the data obtained in the experiment were analyzed. The research result showed that an electromagnetic flowmeter based on differential correlation detection satisfies the need for measurement completely. The lower limit of the flow rate of the electromagnetic flowmeter based on the differential correlation principle could reach 0.084 m/s. Under strong external interferences, the electromagnetic flowmeter based on differential correlation had a fluctuation range in output value of only 10 mV. This shows that the electromagnetic flowmeter based on the differential correlation principle has unique advantages in measurements taken under the conditions of strong noise, slurry flow, and low flow rate.

ACS Style

Liang Ge; Junxian Chen; Guiyun Tian; Wen Zeng; Qi Huang; Ze Hu. Study on a New Electromagnetic Flow Measurement Technology Based on Differential Correlation Detection. Sensors 2020, 20, 2489 .

AMA Style

Liang Ge, Junxian Chen, Guiyun Tian, Wen Zeng, Qi Huang, Ze Hu. Study on a New Electromagnetic Flow Measurement Technology Based on Differential Correlation Detection. Sensors. 2020; 20 (9):2489.

Chicago/Turabian Style

Liang Ge; Junxian Chen; Guiyun Tian; Wen Zeng; Qi Huang; Ze Hu. 2020. "Study on a New Electromagnetic Flow Measurement Technology Based on Differential Correlation Detection." Sensors 20, no. 9: 2489.