Title :
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
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;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
