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Automotive Engineering ›› 2024, Vol. 46 ›› Issue (1): 161-169.doi: 10.19562/j.chinasae.qcgc.2024.01.017

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Research on Vehicle Diagnostic Trouble Code Decoupling Method Based on Multidimensional Association Rule

Jie Hu1(),Haihua Qing1,Min Wei2,Huangzheng Geng2,Xiao Zhang1,Lin Chen1   

  1. 1.Wuhan University of Technology,Hubei Key Laboratory of Modern Auto Parts Technology,Hubei Collaborative Innovation Center for Automotive Components Technology,Hubei Research Center for New Energy & Intelligent Connected Vehicle,Wuhan  430070
    2.SAIC General Wuling Automobile Co. ,Ltd. ,Liuzhou  545000
  • Received:2023-05-24 Revised:2023-07-13 Online:2024-01-25 Published:2024-01-23
  • Contact: Jie Hu E-mail:auto_hj@163.com

Abstract:

A DTC decoupling method for complex coupling faults of vehicles is proposed in this paper. Firstly, by analyzing the complex association of DTCs through the principle of vehicle fault self-diagnosis and the propagation process of fault signals, the strong association relationship between DTCs is mined combined with the association rule technology and the multidimensional association rules of DTC are defined. Secondly, the FP-Growth algorithm for DTC multidimensional association rule mining is improved by the characteristics of the DTCs dataset. Finally, the DTC association knowledge graph is constructed by multidimensional association rules to realize complex DTCs decoupling by combining graph theory. The results show that this method can effectively reduce the number and complexity of DTCs, and improve the efficiency of troubleshooting faults based on DTCs.

Key words: diagnostic trouble code (DTC), decoupling, multidimensional association rule, knowledge graph