Abstract
Controller area network (CAN) has been widely used in many control subsystems of metro trains because of its high real-time performance and low cost. In the braking control system, CAN bus is used to connect multiple electronic brake control units (EBCU) and transmit braking instructions. Once the network fails, it will endanger the safety of driving. In order to warn early faults and detect network performance degradation in time, the common faults of CAN bus are carefully investigated, and a health assessment method based on self-organizing map network (SOM) is proposed to monitor network performance and detect early network anomaly. The characteristic parameters of the physical layer are extracted, and the SOM model representing the normal patterns of the CAN devices is trained by the normal dataset. Performance degradation is indicated by the distance between the test sample and the SOM best matching unit (BMU). Experimental results show the validity of the proposed method for anomaly detection of CAN bus.
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Acknowledgements
This work was supported in part by the Fundamental Research Funds for the Central Universities under Grant 2018YJS148, and in part by the Beijing Municipal Natural Science Foundation under Grant L171009.
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Yang, Y., Guan, X., Liu, Y., Xue, B. (2020). Health Assessment Method for Controller Area Network in Braking Control System of Metro Train. In: Liu, B., Jia, L., Qin, Y., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 640. Springer, Singapore. https://doi.org/10.1007/978-981-15-2914-6_5
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DOI: https://doi.org/10.1007/978-981-15-2914-6_5
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