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Yingzhi Zhang
School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China

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Journal article
Published: 15 July 2021 in Applied Sciences
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Fault propagation behaviour analysis is the basis of fault diagnosis and health maintenance. Traditional fault propagation studies are mostly based on a priori knowledge of a causality model combined with rule-based reasoning, disregarding the limitations of experience and the dynamic characteristics of the system that cause deviations in the identification of critical fault sources. Thus, this paper proposes a dynamic analysis method for fault propagation behaviour of machining centres that combines fault propagation mechanisms with model structure characteristics. This paper uses the design structure matrix (DSM) to establish the fault propagation hierarchy structure model. Considering the correlation of fault time, the fault probability function of a component is obtained and the fault influence degree of nodes are calculated. By introducing the Copula and Coupling degree functions, the fault influence degree of the edges between the same level and different levels are calculated, respectively. This paper constructs a fault propagation intensity model by integrating the edge betweenness and uses it as an index to analyze real-time fault propagation behaviour. Finally, a certain type of machining centre is taken as an example for specific application. This study can provide as a reference for the fault maintenance and reliability growth of a machining centre.

ACS Style

Liming Mu; Yingzhi Zhang; Jintong Liu; Fenli Zhai; Jie Song. Dynamic Analysis Method for Fault Propagation Behaviour of Machining Centres. Applied Sciences 2021, 11, 6525 .

AMA Style

Liming Mu, Yingzhi Zhang, Jintong Liu, Fenli Zhai, Jie Song. Dynamic Analysis Method for Fault Propagation Behaviour of Machining Centres. Applied Sciences. 2021; 11 (14):6525.

Chicago/Turabian Style

Liming Mu; Yingzhi Zhang; Jintong Liu; Fenli Zhai; Jie Song. 2021. "Dynamic Analysis Method for Fault Propagation Behaviour of Machining Centres." Applied Sciences 11, no. 14: 6525.

Conference paper
Published: 01 January 2021 in IOP Conference Series: Materials Science and Engineering
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According to Weibull distribution timing truncation test, considering that it is difficult to have a strictly defined complete failure samples in engineering practice, so the life sampling schemes of censored failure samples are discussed. Here, we have considered random right censored samples with different censored ratios. Compared with other sampling studies, this paper is not limited to explore more sampling theories, but uses SPSS software to give the specific operation processes of three sampling schemes: simple random sampling, two-stage sampling and Bayes sampling considering the minimum total cost, as well as the discussion on the verification analysis of the sampling accuracy. In order to simplify the estimation of Weibull distribution parameters, the estimated parameters are obtained by the probability plot analysis of Minitab software, thus the error between the sample's MTBF (Mean Time Between Failure) and the overall MTBF is calculated. The sensitivity of Weibull distribution parameters is obtained by Minitab software. Finally, according to the accuracy of the three sampling schemes with different censored ratios, the optimal life sampling decision is obtained, which may provide sampling reference for the decision makers.

ACS Style

Zhewen Li; Guixiang Shen; Yingzhi Zhang; Liming Mu; Jun Zheng. Research on sampling schemes of Weibull distribution product life test. IOP Conference Series: Materials Science and Engineering 2021, 1043, 032072 .

AMA Style

Zhewen Li, Guixiang Shen, Yingzhi Zhang, Liming Mu, Jun Zheng. Research on sampling schemes of Weibull distribution product life test. IOP Conference Series: Materials Science and Engineering. 2021; 1043 (3):032072.

Chicago/Turabian Style

Zhewen Li; Guixiang Shen; Yingzhi Zhang; Liming Mu; Jun Zheng. 2021. "Research on sampling schemes of Weibull distribution product life test." IOP Conference Series: Materials Science and Engineering 1043, no. 3: 032072.

Research article
Published: 15 December 2020 in Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
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The existence of the failure transitivity of machine tool components makes the fault transfer probability of components demonstrate dynamic time-variability, which affects the importance of components and further affects the machine maintenance cycle. Therefore, studying fault transfer probability and the importance of machine tool components is necessary. In this article, the fault transfer probability of component is defined according to component fault propagation directed graph and component independent fault and related fault model based on time correlation. Assuming that the fault propagation follows the Markov process, the improved LeaderRank algorithm is applied to evaluate the importance of components by introducing background node and calculating failure impact degree of component on the basis of out-degree. Finally, the specific application is verified by taking the fault information of a certain type of machine as an example.

ACS Style

Yingzhi Zhang; Shubin Liang; Jialin Liu; Peilong Cao; Lan Luan. Evaluation for machine tool components importance based on improved LeaderRank. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 2020, 235, 331 -337.

AMA Style

Yingzhi Zhang, Shubin Liang, Jialin Liu, Peilong Cao, Lan Luan. Evaluation for machine tool components importance based on improved LeaderRank. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2020; 235 (3):331-337.

Chicago/Turabian Style

Yingzhi Zhang; Shubin Liang; Jialin Liu; Peilong Cao; Lan Luan. 2020. "Evaluation for machine tool components importance based on improved LeaderRank." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 235, no. 3: 331-337.

Articles
Published: 12 May 2020 in International Journal of Green Energy
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Outsourcing maintenance is an economical way for wind farm owners to address sophisticated and expensive maintenance operations of wind turbines. This paper proposes three options for the post-warranty maintenance contract of wind turbines from the perspective of service providers. Option 1 involves corrective maintenance only. In option 2, the first preventive maintenance is performed at a certain time point and after that periodic maintenance is carried out. Option 3 initiates with a preventive replacement and performs periodic maintenance subsequently. An availability target is set over the contract period and failing to satisfy the target incurs a penalty from the service provider. The objective is to determine the optimal preventive maintenance programs of option 2 and option 3 that minimize the contract servicing cost. Numerical examples are provided to illustrate the proposed policies. The results show that option 2 and option 3 are more effective than option 1 and their effectiveness grows when warranty and contract coverages increase.

ACS Style

Rui Zheng; Yingzhi Zhang; Liudong Gu. Optimal post-warranty maintenance contracts for wind turbines considering availability. International Journal of Green Energy 2020, 17, 373 -381.

AMA Style

Rui Zheng, Yingzhi Zhang, Liudong Gu. Optimal post-warranty maintenance contracts for wind turbines considering availability. International Journal of Green Energy. 2020; 17 (7):373-381.

Chicago/Turabian Style

Rui Zheng; Yingzhi Zhang; Liudong Gu. 2020. "Optimal post-warranty maintenance contracts for wind turbines considering availability." International Journal of Green Energy 17, no. 7: 373-381.

Articles
Published: 03 December 2019 in Journal of the Chinese Institute of Engineers
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To realize dynamic and real-time multi-fault decoupling and diagnostic CNC machine tools, this study proposes a dynamic fault diagnosis method that is based on fault propagation intensity. Integrated fault mechanism analysis, directed graph theory, and interpretative structure model are used to construct a fault propagation hierarchical model to visually depict complex fault causality. The influence degree of component nodes and the fault influence degree of edges are calculated using PageRank and a coupling degree function. The fault propagation probability of component nodes is determined by synthesizing node fault probability. Fault propagation intensity is defined by the probability of fault propagation and edge-betweenness to characterize the behavior of fault propagation dynamically. Combined with the hierarchical fault propagation model, the critical path and node are determined. A certain type of CNC machine tool is taken as an example to carry out a specific application. Results show that the hierarchical model of system fault propagation realizes multi-fault decoupling and clarifies the process of fault propagation. The critical path is identified according to the fault propagation intensity, the deviation caused by describing the behavior of fault propagation based on a single index is avoided, and the accuracy of fault diagnosis is improved.

ACS Style

Yingzhi Zhang; Liming Mu; Jialin Liu; Jintong Liu; Zhifu Tian; Yilong Zhang. Application of fault propagation intensity in fault diagnosis of CNC machine tool. Journal of the Chinese Institute of Engineers 2019, 43, 153 -161.

AMA Style

Yingzhi Zhang, Liming Mu, Jialin Liu, Jintong Liu, Zhifu Tian, Yilong Zhang. Application of fault propagation intensity in fault diagnosis of CNC machine tool. Journal of the Chinese Institute of Engineers. 2019; 43 (2):153-161.

Chicago/Turabian Style

Yingzhi Zhang; Liming Mu; Jialin Liu; Jintong Liu; Zhifu Tian; Yilong Zhang. 2019. "Application of fault propagation intensity in fault diagnosis of CNC machine tool." Journal of the Chinese Institute of Engineers 43, no. 2: 153-161.

Conference paper
Published: 30 August 2018 in Journal of Physics: Conference Series
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A maintenance allocation method for complex equipment that is intermittently turned on is proposed. Based on the IEC706-6 maintainability allocation method, the ISM method and entropy weight aggregation method are used to calculate the importance of the subsystem, and the maintainability redistribution is carried out with the calculation results. Objectively and efficiently, it provides a more realistic reference for maintainability analysis.

ACS Style

Yingzhi Zhang; Yang Yu; Yubin Zheng; Yilong Zhang; Zhifu Tian. An Improved Method for Maintainability Allocation of Complex Equipment Considering Associated Failures. Journal of Physics: Conference Series 2018, 1069, 012075 .

AMA Style

Yingzhi Zhang, Yang Yu, Yubin Zheng, Yilong Zhang, Zhifu Tian. An Improved Method for Maintainability Allocation of Complex Equipment Considering Associated Failures. Journal of Physics: Conference Series. 2018; 1069 (1):012075.

Chicago/Turabian Style

Yingzhi Zhang; Yang Yu; Yubin Zheng; Yilong Zhang; Zhifu Tian. 2018. "An Improved Method for Maintainability Allocation of Complex Equipment Considering Associated Failures." Journal of Physics: Conference Series 1069, no. 1: 012075.

Conference paper
Published: 19 February 2018 in IOP Conference Series: Materials Science and Engineering
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In order to determine the key components of CNC machine tools under fault rate correlation, a system component criticality analysis method is proposed. Based on the fault mechanism analysis, the component fault relation is determined, and the adjacency matrix is introduced to describe it. Then, the fault structure relation is hierarchical by using the interpretive structure model (ISM). Assuming that the impact of the fault obeys the Markov process, the fault association matrix is described and transformed, and the Pagerank algorithm is used to determine the relative influence values, combined component fault rate under time correlation can obtain comprehensive fault rate. Based on the fault mode frequency and fault influence, the criticality of the components under the fault rate correlation is determined, and the key components are determined to provide the correct basis for equationting the reliability assurance measures. Finally, taking machining centers as an example, the effectiveness of the method is verified.

ACS Style

Shen Gui-Xiang; Zhao Xian-Zhuo; Ying-Zhi Zhang; Han Chen-Yu. Research on criticality analysis method of CNC machine tools components under fault rate correlation. IOP Conference Series: Materials Science and Engineering 2018, 307, 012023 .

AMA Style

Shen Gui-Xiang, Zhao Xian-Zhuo, Ying-Zhi Zhang, Han Chen-Yu. Research on criticality analysis method of CNC machine tools components under fault rate correlation. IOP Conference Series: Materials Science and Engineering. 2018; 307 (1):012023.

Chicago/Turabian Style

Shen Gui-Xiang; Zhao Xian-Zhuo; Ying-Zhi Zhang; Han Chen-Yu. 2018. "Research on criticality analysis method of CNC machine tools components under fault rate correlation." IOP Conference Series: Materials Science and Engineering 307, no. 1: 012023.

Article
Published: 13 December 2017 in Journal of Intelligent Manufacturing
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To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method.

ACS Style

Yingzhi Zhang; Liming Mu; Guixiang Shen; Yang Yu; Chenyu Han. Fault diagnosis strategy of CNC machine tools based on cascading failure. Journal of Intelligent Manufacturing 2017, 30, 2193 -2202.

AMA Style

Yingzhi Zhang, Liming Mu, Guixiang Shen, Yang Yu, Chenyu Han. Fault diagnosis strategy of CNC machine tools based on cascading failure. Journal of Intelligent Manufacturing. 2017; 30 (5):2193-2202.

Chicago/Turabian Style

Yingzhi Zhang; Liming Mu; Guixiang Shen; Yang Yu; Chenyu Han. 2017. "Fault diagnosis strategy of CNC machine tools based on cascading failure." Journal of Intelligent Manufacturing 30, no. 5: 2193-2202.

Journal article
Published: 19 July 2015 in The International Journal of Advanced Manufacturing Technology
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The Failure Mode, Effects and Criticality Analysis (FMECA) has been widely applied in the reliability research of machining centers in recent years. However, conventional FMECA does not take opinions of different team members or the relationship between the modes and causes of failure into account when considering the assignment of criticality. Thus, an improved FMECA (IFMECA) is proposed to overcome the disadvantages. The IFMECA method applied group decision-making theory to effectively combine every team member’s evaluation. Subsequently, weights of the factors were determined based on the combination of entropy and expert evaluation. Failures were then prioritized by decision-making trial and evaluation laboratory (DEMATEL) method. In this paper, improved criticalities (ICR) were calculated and failures of feed systems were prioritized by IFMECA based on the failure data of the feed system. According to the rank of failure modes obtained through IFMECA, it is observed that vibration or oscillation, motion parts output failure, and inaccurate re-home have more negative impacts on the feed system. Furthermore, this paper asserts that IFMECA method could also be applied to analyze other complex mechanical systems.

ACS Style

Xiaofeng Wang; Yingzhi Zhang; Guixiang Shen. An improved FMECA for feed system of CNC machining center based on ICR and DEMATEL method. The International Journal of Advanced Manufacturing Technology 2015, 83, 43 -54.

AMA Style

Xiaofeng Wang, Yingzhi Zhang, Guixiang Shen. An improved FMECA for feed system of CNC machining center based on ICR and DEMATEL method. The International Journal of Advanced Manufacturing Technology. 2015; 83 (1-4):43-54.

Chicago/Turabian Style

Xiaofeng Wang; Yingzhi Zhang; Guixiang Shen. 2015. "An improved FMECA for feed system of CNC machining center based on ICR and DEMATEL method." The International Journal of Advanced Manufacturing Technology 83, no. 1-4: 43-54.

Journal article
Published: 24 December 2014 in Journal of Central South University
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A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems, the decision making trial and evaluation laboratory (DEMATEL) method was used to calculate the degree of correlation between the failure subsystems, analyze the combined effect of related failures, and obtain the degree of correlation by using the directed graph and matrix operations. Then, the interpretative structural modeling (ISM) method was combined to intuitively show the logical relationship of many failure subsystems and their influences on each other by using multilevel hierarchical structure model and obtaining the critical subsystems. Finally, failure mode effects and criticality analysis (FMECA) was used to perform a qualitative hazard analysis of critical subsystems, determine the critical failure mode, and clarify the direction of reliability improvement. Through an example, the result demonstrates that the proposed method can be efficiently applied to system failure analysis problems.

ACS Style

Gui-Xiang Shen; Shu-Guang Sun; Ying-Zhi Zhang; Zhi-Qiong Wang; Bing-Kun Chen; Chuang Ma. System failure analysis based on DEMATEL-ISM and FMECA. Journal of Central South University 2014, 21, 4518 -4525.

AMA Style

Gui-Xiang Shen, Shu-Guang Sun, Ying-Zhi Zhang, Zhi-Qiong Wang, Bing-Kun Chen, Chuang Ma. System failure analysis based on DEMATEL-ISM and FMECA. Journal of Central South University. 2014; 21 (12):4518-4525.

Chicago/Turabian Style

Gui-Xiang Shen; Shu-Guang Sun; Ying-Zhi Zhang; Zhi-Qiong Wang; Bing-Kun Chen; Chuang Ma. 2014. "System failure analysis based on DEMATEL-ISM and FMECA." Journal of Central South University 21, no. 12: 4518-4525.

Journal article
Published: 01 August 2014 in Advanced Materials Research
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According to 62 field fault data from a certain type of 8 NC machine tools, maintainability distribution model is established based on the repair time. Hypothesis testing shows that the repair times of NC machine tools fit mathematical model of lognormal distribution. This provides the basis for maintainability assessment of NC machine tool as well as the development of maintenance strategy in the future.

ACS Style

Yu Xia Xue; Gui Xiang Shen; Ying Zhi Zhang; Li Quan Guo. Maintainability Modeling of NC Machine Tools Based on Repair Time. Advanced Materials Research 2014, 1006-1007, 494 -497.

AMA Style

Yu Xia Xue, Gui Xiang Shen, Ying Zhi Zhang, Li Quan Guo. Maintainability Modeling of NC Machine Tools Based on Repair Time. Advanced Materials Research. 2014; 1006-1007 ():494-497.

Chicago/Turabian Style

Yu Xia Xue; Gui Xiang Shen; Ying Zhi Zhang; Li Quan Guo. 2014. "Maintainability Modeling of NC Machine Tools Based on Repair Time." Advanced Materials Research 1006-1007, no. : 494-497.

Journal article
Published: 01 August 2013 in Applied Mechanics and Materials
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Aiming at the problem that some products show no failure in the random truncation test period,the mean rank order method is introduced to determine the sequence number of failure time and the method of approximate median order is used to calculate the empirical cumulative distribution function.To solve the poser that model of failure distribution of the same batch of data is not the single one,this study uses analytic hierarchy process (AHP) and entropy weight-TOPSIS,including both objective and subjective factors,to find out the datas optimun distribution.Through taking an example,It proved that this method is simple to use and has good applicability.

ACS Style

Gui Xiang Shen; Shu Guang Sun; Ying Zhi Zhang; Shu Meng; Xiao Yan Qi; Lan Luan. Reliability Model Choice Based on AHP and Entropy Weight-TOPSIS. Applied Mechanics and Materials 2013, 380-384, 1197 -1201.

AMA Style

Gui Xiang Shen, Shu Guang Sun, Ying Zhi Zhang, Shu Meng, Xiao Yan Qi, Lan Luan. Reliability Model Choice Based on AHP and Entropy Weight-TOPSIS. Applied Mechanics and Materials. 2013; 380-384 ():1197-1201.

Chicago/Turabian Style

Gui Xiang Shen; Shu Guang Sun; Ying Zhi Zhang; Shu Meng; Xiao Yan Qi; Lan Luan. 2013. "Reliability Model Choice Based on AHP and Entropy Weight-TOPSIS." Applied Mechanics and Materials 380-384, no. : 1197-1201.