Abstract
Aimed at the CAN technology utilized on automobile currently, and the complexity of the automobile fault information and the difficulty of diagnosis, CAN bus adapter is designed .Microsoft Visual C++ 6.0 is utilized to build the Kalman digital filter and automobile fault diagnosis system based on BP network. Incepting the signal from the CAN bus, filtering and removal of noise, and online fault diagnosis and forecast to the main systems of automobile. Experiments show that Kalman filtering plays good on removal of noise from the automobile fault signals, and the BP network trainings of the systems are effective to implement non-linear mapping from the fault phenomenon of automobile to the fault position.
Supported by the Key Project of Chinese Ministry of Education (No.: 208037); Scientific Research Fund of Heilongjiang Provincial Education Department (No.:11551072).
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Zhou, M., Ao, X., Wang, J. (2011). Fault Diagnosis of Automobile Based on CAN Bus. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_46
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DOI: https://doi.org/10.1007/978-3-642-19853-3_46
Publisher Name: Springer, Berlin, Heidelberg
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