Complex System Fault Diagnosis Method Based on CFFPN

被引：0
|
作者：
Su, Yan [1 ]
Ling, Yiqing [1 ]
Wang, Hui
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Nanjing 210016, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON ELECTRONIC, MECHANICAL, INFORMATION AND MANAGEMENT SOCIETY (EMIM) | 2016年 / 40卷
关键词：
Colored fuzzy fault petri net (CFFPN); Fault diagnosis; Modeling; Complex system; Pneumatic system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Considering the complexity of system structure and fault mechanism of complex system, a fault diagnosis method based on extended color fuzzy fault Petri net model is proposed (CFFPN) for civil aircraft. In order to increase the fault diagnosis efficiency, the CFFPN is modeled based on fuzzy mathematics and fault Petri net method through adding token, library and staining rules to describe the fault propagation. Fuzzy generated rules combined with matrix theory are utilized for fault diagnosis reasoning. CFFPN based reasoning algorithm is given. The validity of the proposed method is verified in one type aircraft pneumatic system.
引用
收藏
页码：103 / 107
页数：5
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