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Haowen Wang
School of Robot Engineering, Yangtze Normal University, Chongqing 408100, China

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Journal article
Published: 17 January 2020 in Sensors
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As an electromagnetic field conversion tool in the transient electromagnetic method (TEM), the weak coupling coils reduce the mutual inductance of its transmitter and receiver coils by special structural optimization, so the detection signal can be protruded from the primary field interference generated by the transmitter coil; thus, this kind of coil design can significantly improve the signal-to-noise ratio. However, with the popularity of drag or aerial TEM exploration, the structural stability problem caused by bumps or windage leads to non-negligible primary field leakages, thereby reducing the detection reliability. This paper incorporates the primary field shielding stability as a key indicator of the weak coupling designs and proposes a calibration scheme for this stability assessment, based on which the shielding stability of five typical weak coupling coil designs is quantitatively compared, and the relationship between the primary field density and the shielding stability explored in this study may contribute to the selection and improvement of TEM coils.

ACS Style

Jiangbo Huang; Haowen Wang; Zhihong Fu; Wei Fu. Analysis of Primary Field Shielding Stability for the Weak Coupling Coil Designs. Sensors 2020, 20, 519 .

AMA Style

Jiangbo Huang, Haowen Wang, Zhihong Fu, Wei Fu. Analysis of Primary Field Shielding Stability for the Weak Coupling Coil Designs. Sensors. 2020; 20 (2):519.

Chicago/Turabian Style

Jiangbo Huang; Haowen Wang; Zhihong Fu; Wei Fu. 2020. "Analysis of Primary Field Shielding Stability for the Weak Coupling Coil Designs." Sensors 20, no. 2: 519.

Journal article
Published: 30 December 2019 in Electronics
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The distribution of the permafrost in the Tibetan Plateau has dramatically changed due to climate change, expressed as increasing permafrost degradation, thawing depth deepening and disappearance of island permafrost. These changes have serious impacts on the local ecological environment and the stability of engineering infrastructures. Ground penetrating radar (GPR) is used to detect permafrost active layer depth, the upper limit of permafrost and the thawing of permafrost with the season’s changes. Due to the influence of complex structure in the permafrost layer, it is difficult to effectively characterize the accurate structure within the permafrost on the radar profile. In order to get the high resolution GPR profile in the Tibetan Plateau, the reverse time migration (RTM) imaging method was applied to GPR real data. In this paper, RTM algorithm is proven to be correct through the groove’s model of forward modeling data. In the Beiluhe region, the imaging result of GPR RTM profiles show that the RTM of GPR makes use of diffracted energy to properly position the reflections caused by the gravels, pebbles, cobbles and small discontinuities. It can accurately determine the depth of the active layer bottom interface in the migration section. In order to prove the accuracy of interpretation results of real data RTM section, we set up the three dielectric constant models based on the real data RTM profiles and geological information, and obtained the model data RTM profiles, which can prove the accuracy of interpretation results of three-line RTM profiles. The results of three-line RTM bears great significance for the study of complex structure and freezing and thawing process of permafrost at the Beiluhe region on the Tibetan Plateau.

ACS Style

Yao Wang; Zhihong Fu; Xinglin Lu; Shanqiang Qin; Haowen Wang; Xiujuan Wang. Imaging of the Internal Structure of Permafrost in the Tibetan Plateau Using Ground Penetrating Radar. Electronics 2019, 9, 56 .

AMA Style

Yao Wang, Zhihong Fu, Xinglin Lu, Shanqiang Qin, Haowen Wang, Xiujuan Wang. Imaging of the Internal Structure of Permafrost in the Tibetan Plateau Using Ground Penetrating Radar. Electronics. 2019; 9 (1):56.

Chicago/Turabian Style

Yao Wang; Zhihong Fu; Xinglin Lu; Shanqiang Qin; Haowen Wang; Xiujuan Wang. 2019. "Imaging of the Internal Structure of Permafrost in the Tibetan Plateau Using Ground Penetrating Radar." Electronics 9, no. 1: 56.

Journal article
Published: 29 August 2019 in Sensors
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The tunnel seismic method allows for the detection of the geology in front of a tunnel face for the safety of tunnel construction. Conventional geophones have problems such as a narrow spectral width, low sensitivity, and poor coupling with the tunnel wall. To tackle issues above, we propose a semi-automatic coupling geophone equipped with a piezoelectric sensor with a spectral range of 10-5000 Hz and a sensitivity of 2.8 V/g. After the geophone was manually pushed into the borehole, it automatically coupled with the tunnel wall under the pressure of the springs within the device. A comparative experiment showed that the data spectrum acquired by the semi-automatic coupling geophone was much higher than that of the conventional geophone equipped with the same piezoelectric sensor. The seismic data were processed in combination with forward modeling. The imaging results also show that the data acquired by the semi-automatic coupling geophone were more in line with the actual geological conditions. In addition, the semi-automatic coupling geophone's installation requires a lower amount of time and cost. In summary, the semi-automatic coupling geophone is able to efficiently acquire seismic data with high fidelity, which can provide a reference for tunnel construction safety.

ACS Style

Yao Wang; Nengyi Fu; Zhihong Fu; Xinglin Lu; Xian Liao; Haowen Wang; Shanqiang Qin. A Semi-Automatic Coupling Geophone for Tunnel Seismic Detection. Sensors 2019, 19, 3734 .

AMA Style

Yao Wang, Nengyi Fu, Zhihong Fu, Xinglin Lu, Xian Liao, Haowen Wang, Shanqiang Qin. A Semi-Automatic Coupling Geophone for Tunnel Seismic Detection. Sensors. 2019; 19 (17):3734.

Chicago/Turabian Style

Yao Wang; Nengyi Fu; Zhihong Fu; Xinglin Lu; Xian Liao; Haowen Wang; Shanqiang Qin. 2019. "A Semi-Automatic Coupling Geophone for Tunnel Seismic Detection." Sensors 19, no. 17: 3734.

Journal article
Published: 15 August 2019 in Sensors
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The multi-coil sensor consisting of a series of sub-coils provides a reliable way to avoid signal distortion from excitation field. Compared with conventional coil sensors, the multi-coil sensor exhibits more complex signal conversion performance, and the conventional equivalent circuit cannot reveal the possible attenuated oscillation, which seriously degrades the detection reliability. Based on a novel equivalent circuit model, this research investigates the causes of signal oscillation and proposes and validates an effective solution, which contributes to the signal transmission characteristics of multi-coil sensors for engineering applications.

ACS Style

Jiangbo Huang; Haowen Wang; Zhihong Fu; Wei Fu. Modeling and Solution of Signal Oscillation Mechanism of the Multi-Coil Sensor. Sensors 2019, 19, 3563 .

AMA Style

Jiangbo Huang, Haowen Wang, Zhihong Fu, Wei Fu. Modeling and Solution of Signal Oscillation Mechanism of the Multi-Coil Sensor. Sensors. 2019; 19 (16):3563.

Chicago/Turabian Style

Jiangbo Huang; Haowen Wang; Zhihong Fu; Wei Fu. 2019. "Modeling and Solution of Signal Oscillation Mechanism of the Multi-Coil Sensor." Sensors 19, no. 16: 3563.

Journal article
Published: 10 November 2018 in Measurement
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An air-coil sensor (ACS) is a type of induction magnetometer used to measure the variation of a magnetic field. Due to the limited bandwidth of the coil, its output signal is distorted, a phenomenon known as the transition process. To measure the magnetic field accurately, the relationship must be confirmed by calibration. However, conventional methods require a uniform magnetic field with various frequencies to ensure the induced electromotive force is controllable. The time taken to acquire the signal correlates with the number of test frequencies, and the equipment used to generate the uniform magnetic field must be tailored to the shape of the ACS under test. This paper proposes a time-domain feedback calibration method for ACS to avoid the above constraints. An algorithm is applied to relieve the dependence of the calibration file on the input signal, so that the calibration file will not be affected by the calculation error of the input signal nor be limited by the uniform magnetic field, and the accuracy of the calibration file can be evaluated by the feedback signal. The exponential current, which contains a variety of frequency components, is selected as the calibration signal to shorten the time of data collection. The equipment used to generate the calibration signal is simple, which is suitable for on-site calibration. The scheme can be used for rapid calibration of various air-core coils, and provides a better solution for realizing embedded self-test of ACS.

ACS Style

Haowen Wang; Zhihong Fu; Yao Wang; Hengming Tai; Shanqiang Qin; Xian Liao. A time-domain feedback calibration method for air-coil magnetic sensor. Measurement 2018, 135, 61 -70.

AMA Style

Haowen Wang, Zhihong Fu, Yao Wang, Hengming Tai, Shanqiang Qin, Xian Liao. A time-domain feedback calibration method for air-coil magnetic sensor. Measurement. 2018; 135 ():61-70.

Chicago/Turabian Style

Haowen Wang; Zhihong Fu; Yao Wang; Hengming Tai; Shanqiang Qin; Xian Liao. 2018. "A time-domain feedback calibration method for air-coil magnetic sensor." Measurement 135, no. : 61-70.