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Chinese Journal of Mechanical Engineering
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Fault location identification for localized intermittent connection problems on CAN networks

Chinese Journal of Mechanical Engineering volume 27, pages 1038–1046 (2014)Cite this article

Abstract

The intermittent connection(IC) of the field-bus in networked manufacturing systems is a common but hard troubleshooting network problem, which may result in system level failures or safety issues. However, there is no online IC location identification method available to detect and locate the position of the problem. To tackle this problem, a novel model based online fault location identification method for localized IC problem is proposed. First, the error event patterns are identified and classified according to different node sources in each error frame. Then generalized zero inflated Poisson process(GZIP) model for each node is established by using time stamped error event sequence. Finally, the location of the IC fault is determined by testing whether the parameters of the fitted stochastic model is statistically significant or not using the confident intervals of the estimated parameters. To illustrate the proposed method, case studies are conducted on a 3-node controller area network(CAN) test-bed, in which IC induced faults are imposed on a network drop cable using computer controlled on-off switches. The experimental results show the parameters of the GZIP model for the problematic node are statistically significant(larger than 0), and the patterns of the confident intervals of the estimated parameters are directly linked to the problematic node, which agrees with the experimental setup. The proposed online IC location identification method can successfully identify the location of the drop cable on which IC faults occurs on the CAN network.

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Authors and Affiliations

  1. State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, 310027, China

    Yong Lei & Yong Yuan

  2. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, 100084, China

    Yong Lei & Yichao Sun

Authors
  1. Yong Lei
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  2. Yong Yuan
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  3. Yichao Sun
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Corresponding author

Correspondence to Yong Lei.

Additional information

Supported by National Natural Science Foundation of China(Grant No. 51005205), Science Fund for Creative Research Groups of National Natural Science Foundation of China(Grant No. 51221004), National Basic Research Program of China(973 Program, Grant No. 2013CB-035405), and Open Foundation of State Key Laboratory of Automotive Safety and Energy, Tsinghua University, China(Grant No. KF13011)

LEI Yong, born in 1976, is an associate professor at State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, China. He received his BS degree in control science and engineering from Huazhong University of Science and Technology, China, his MS degree in manufacturing and automation from Tsinghua University, China, and his PhD degree in mechanical engineering from University of Michigan, Ann Arbor, USA. His research interests include monitoring and fault diagnosis of the networked automation systems, statistical quality control, and surgical robots.

YUAN Yong, born in 1989, is a master candidate at State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, China. He received his BS degree in mechanical engineering from Hunan University, China. His research interests include monitoring and fault diagnosis of the networked automation systems and applied statistics.

SUN Yichao, born in 1990, is a master candidate at State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, China. He received his BS degree in mechanical design, manufacturing and automation from East China University of Science and Technology, China. His research interests include fault diagnosis and robust control of the networked automation systems.

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Lei, Y., Yuan, Y. & Sun, Y. Fault location identification for localized intermittent connection problems on CAN networks. Chin. J. Mech. Eng. 27, 1038–1046 (2014). https://doi.org/10.3901/CJME.2014.0527.301

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  • DOI: https://doi.org/10.3901/CJME.2014.0527.301

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