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Sensor configuration and test for fault diagnoses of subway braking system based on signed digraph method

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Abstract

Fault diagnosis of various systems on rolling stock has drawn the attention of many researchers. However, obtaining an optimized sensor set of these systems, which is a prerequisite for fault diagnosis, remains a major challenge. Available literature suggests that the configuration of sensors in these systems is presently dependent on the knowledge and engineering experiences of designers, which may lead to insufficient or redundant development of various sensors. In this paper, the optimization of sensor sets is addressed by using the signed digraph (SDG) method. The method is modified for use in braking systems by the introduction of an effect-function method to replace the traditional quantitative methods. Two criteria are adopted to evaluate the capability of the sensor sets, namely, observability and resolution. The sensors configuration method of braking system is proposed. It consists of generating bipartite graphs from SDG models and then solving the set cover problem using a greedy algorithm. To demonstrate the improvement, the sensor configuration of the HP2008 braking system is investigated and fault diagnosis on a test bench is performed. The test results show that SDG algorithm can improve single-fault resolution from 6 faults to 10 faults, and with additional four brake cylinder pressure (BCP) sensors it can cover up to 67 double faults which were not considered by traditional fault diagnosis system. SDG methods are suitable for reducing redundant sensors and that the sensor sets thereby obtained are capable of detecting typical faults, such as the failure of a release valve. This study investigates the formal extension of the SDG method to the sensor configuration of braking system, as well as the adaptation supported by the effect-function method.

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Authors and Affiliations

  1. Institute of Railway and Urban Mass Transit, Tongji University, Shanghai, 201804, China

    Jianyong Zuo & Zhongkai Chen

Authors
  1. Jianyong Zuo
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  2. Zhongkai Chen
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Correspondence to Jianyong Zuo.

Additional information

Supported by National Hi-tech Research and Development Program of China (863 Program, Grant No. 2011AA110503-3), Fundamental Research Funds for the Central Universities of China (Grant No. 2860219030), and Foundation of Traction Power State Key Laboratory of Southwest Jiaotong University, China (Grant No. TPL1308)

ZUO Jianyong, born in 1976, is currently an associate professor at Institute of Railway and Urban Mass Transit, Tongji University, China. He received his PhD degree from Shanghai Jiaotong University, China, in 2005. His research interests include simulation and control of trains’ braking systems.

CHEN Zhongkai, born in 1987, is currently an M.S. candidate at Institute of Railway and Urban Mass Transit, Tongji University, China. He received his bachelor’s degree from Tongji University, China, in 2010. His main research interests include artificial intelligence and control theory.

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Zuo, J., Chen, Z. Sensor configuration and test for fault diagnoses of subway braking system based on signed digraph method. Chin. J. Mech. Eng. 27, 475–482 (2014). https://doi.org/10.3901/CJME.2014.03.475

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  • DOI: https://doi.org/10.3901/CJME.2014.03.475

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