Complexity metrics for auto fault diagnosis based on information entropy

International Conference on Manufacturing Technology, Materials and Chemical Engineering

机械制造;材料科学;化学工业

Cheng, Ying^1 ; Guan, Zhiwei^1 ; Zhao, Honglin^1

School of Automotive and Transportation, Tianjin University of Technology and Education, Tianjin

300222, China^1

关键词: Calculation process;    Complexity metrics;    Diagnosis strategies;    Electronic technologies;    Hierarchy structure;    Information entropy;    Maintenance workload;    Theory of complexity;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/392/6/062147/pdf
DOI  :  10.1088/1757-899X/392/6/062147

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Due to plenty of advanced and electronic technology used in the modern auto, the modern auto maintenance workload should consider the influence of the fault diagnosis complexity on maintenance man hour, so it is necessary and valuable to evaluate the complexity of the auto fault diagnosis. In this paper, the method of complexity assessment of auto fault diagnosis is discussed by using the information entropy. Firstly, the theory of complexity measurement based on information entropy is introduced, and then the complexity assessment index and the calculation process are shown. Finally, take the engine overheating fault for example, the hierarchy structure of this fault diagnosis is analyzed, and the complexity value of this fault diagnosis based on information entropy is obtained. The results show that this assessment method has a certain practicality and feasibility, which could be utilized to optimize the auto fault diagnosis strategy and maintenance work arrangement.