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2018 | OriginalPaper | Chapter

Research on Fault Diagnosis of Vehicle Equipment for High-speed Railway Based on Case-Based Reasoning

Authors : Lixuan Chen, Dongxiu Ou, Hongjing Yao

Published in: Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017

Publisher: Springer Singapore

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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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Metadata
Title
Research on Fault Diagnosis of Vehicle Equipment for High-speed Railway Based on Case-Based Reasoning
Authors
Lixuan Chen
Dongxiu Ou
Hongjing Yao
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7989-4_34

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