Method for generating fuzzy Petri nets fault diagnosis model based on rough set theory

Author

Liang, Yuanhua ; Yuan, Bingcheng

Author_Institution

Dept. of Weaponry Eng., Naval Univ. of Eng., Wuhan, China

Volume

1

fYear

2010

fDate

21-24 May 2010

Abstract

The modeling of fault diagnosis system is a difficult issue in the fuzzy Petri nets (FPN) fault diagnosis system. The method for generating FPN fault diagnosis model is proposed by using rough set theory. Firstly, the condition attribute and attribute value of swatch set of the faults is reduced by using the rough set theory, and the default rules are got by using Skowron default manner. Then calculate the condition weight of the default rules according to the credible degrees of knowledge in the rough set theory, and the fuzzy weighted production rule are got. And then analyze the conversion method of the fuzzy weighted production rule and FPN model. Finally, the FPN diagnosis model of a torpedo receiver subsystem is established, and experiment shows the feasibility and efficiency of the proposed method.

Keywords

Petri nets; fault diagnosis; fuzzy set theory; missiles; reliability theory; rough set theory; Skowron default manner; attribute value; condition attribute; default rules; fuzzy petri nets fault diagnosis model; fuzzy weighted production rule; rough set theory; swatch set; torpedo receiver subsystem; Data mining; Fault diagnosis; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Modeling; Petri nets; Production; Set theory; Weapons; fault diagnosis model; fuzzy Petri nets; rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computer and Communication (ICFCC), 2010 2nd International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5821-9

Type

conf

DOI

10.1109/ICFCC.2010.5497759

Filename

5497759