Title :
Complex electromechanical system fault diagnosis based on the Grey Petri Nets
Author :
Guo, Ya-zhong ; Zuo, Hong-fu ; Bai, Lu
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
Abstract :
Fault diagnosis is the important work and research hotpots for a complex system. Because the traditional methods are not suitable to the complex system, the synthesis methods of Grey clustering theory and Petri nets are presented based on the characteristics of complex system. The model of Grey Petri Nets is put up. Fault diagnosis based Grey Petri Nets pays more attention to the datum of complex system and the method of fault diagnosis about complex system is described in detail. Example of the flight control system of the aircraft shows that the fault diagnosis method of complex system based on the Grey Petri Nets is feasible.
Keywords :
fault diagnosis; fuzzy set theory; grey systems; inference mechanisms; maintenance engineering; mechanical engineering computing; pattern clustering; stochastic processes; complex electromechanical system fault diagnosis; diagnosis reasoning process; grey Petri nets; grey clustering theory; stochastic Petri nets; Aerospace control; Aircraft; Clustering algorithms; Control system synthesis; Electromechanical systems; Failure analysis; Fault diagnosis; Intelligent systems; Petri nets; System testing;
Conference_Titel :
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1294-5
Electronic_ISBN :
978-1-4244-1294-5
DOI :
10.1109/GSIS.2007.4443401
