Abstract
Vehicle equipment plays an important role in high-speed railway train control system for safety protection and efficiency improving. The role of vehicle equipment for high-speed railway can be affected by a number of uncertain faults and these faults have characteristics of diversity, concealment, and overlap. To solve the above problems, this paper proposes a new algorithm to detect faults of vehicle equipment based on Case-based Reasoning. A database is created based on previous successful cases and features of these cases are extracted. Then fault causes of vehicle equipment are derived by matching the information of target cases to cases in the database. Then maintenance suggestions are given according to fault causes of vehicle equipment. The test result shows that the algorithm can diagnose faults of vehicle equipment for high-speed railway accurately and effectively.
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Acknowledgments
This work is supported by National Key R&D Program of China (2016YFB1200401).
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Chen, L., Ou, D., Yao, H. (2018). Research on Fault Diagnosis of Vehicle Equipment for High-speed Railway Based on Case-Based Reasoning. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 483. Springer, Singapore. https://doi.org/10.1007/978-981-10-7989-4_34
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DOI: https://doi.org/10.1007/978-981-10-7989-4_34
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