A method for fault diagnosis in test system of electric motor wheels based on Fuzzy Petri Net

Author

Tianxu, Jin ; Ge, Zhang

Author_Institution

Sch. of Mater. Sci. & Eng., Univ. of Sci. an Technol. Beijing, Beijing, China

fYear

2012

fDate

25-27 July 2012

Firstpage

5240

Lastpage

5244

Abstract

With the complexity in the test system of electric motor wheels, Fuzzy Petri Net is applied to the method of modeling fault transmission. Fuzzy production rules are introduced into knowledge representation, and the fault diagnosis method using fuzzy Petri Net and its reasoning algorithm are discussed. Using this method in fault diagnosis in the test system of electric motor wheels, the result demonstrates that Fuzzy Petri Net has an easy structure, a good expression of faults and effective capability of fuzzy reasoning. Fuzzy Petri Net is a useful method in fault diagnosis.

Keywords

Petri nets; electric motors; fault diagnosis; fuzzy set theory; inference mechanisms; knowledge representation; mechanical engineering computing; test equipment; wheels; electric motor wheels; fault diagnosis method; fault transmission; fuzzy Petri net; fuzzy production rules; fuzzy reasoning algorithm; knowledge representation; test system; Educational institutions; Electric motors; Fault diagnosis; Fuzzy reasoning; Petri nets; Wheels; Fuzzy Petri Nets; electric motor wheels; fault diagnosis; test system;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2012 31st Chinese

Conference_Location

Hefei

ISSN

1934-1768

Print_ISBN

978-1-4673-2581-3

Type

conf

Filename

6390852