An Evaluation of Auto Fault Diagnosis Complexity Based on Information Entropy

被引：0
|
作者：
Wang, Lei [1 ]
Zhao, Jianyou [2 ]
机构：
[1] Tianjin Sino German Univ Appl Sci, Aviat & Automot Dept, Tianjin, Peoples R China
[2] Changan Univ, Sch Automobile, Xian, Shaanxi, Peoples R China
来源：
INFORMATION TECHNOLOGY AND INTELLIGENT TRANSPORTATION SYSTEMS, VOL 2 | 2017年 / 455卷
关键词：
Auto fault diagnosis; Information entropy; Complexity coefficient; Hierarchy structure;
D O I：
10.1007/978-3-319-38771-0_9
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The auto fault diagnosis complexity coefficient should be applied for repairing and maintaining price model according to modern auto complex structure. Based on the information entropy theory, this paper proposed the fault diagnosis complexity evaluation for the auto engine fault as a example, five hierarchies structure and evaluate index system were built, then worked out the uniform complexity information entropy value of the auto engine fault diagnosis, which was consistent with the auto repair and maintenance industrial actual situation. The information entropy evaluation provided theoretical basis for the existence and generation of the fault diagnosis complexity coefficient.
引用
收藏
页码：91 / 101
页数：11
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