Title :
Fault diagnosis based on Fuzzy Logic Control for power circuits of drive systems in locomotive
Author :
Zhang, H. ; Tong, L. ; Zhong, Y.R. ; Fan, Z.M. ; Wang, W.S.
Author_Institution :
Xi´´an Univ. of Technol., China
Abstract :
Intelligent Control (IC) is a novel stage of automatic control development. Its development brings a new method for electrical drive systems. Fuzzy Logic Control (FLC) in intelligent control is one of the efficient strategies for the system with nonlinear or imprecise model. This paper has applied Fuzzy Logic Expert System (FLES) to the power circuits for state-monitoring and fault-diagnosis. By the analysis of typical power circuits, a kind of universal configuration of fault diagnostic system has been introduced. The paper has established a foundation for further applications of FLES in maintenance of the power circuits.
Keywords :
fault simulation; fuzzy control; fuzzy logic; intelligent control; locomotives; reliability; electrical drive systems; fault diagnosis; fuzzy logic control; fuzzy logic expert system; intelligent control; locomotive; monitoring; power circuits; Automatic control; Circuit faults; Control system synthesis; Control systems; Diagnostic expert systems; Fault diagnosis; Fuzzy logic; Intelligent control; Nonlinear control systems; Power system modeling;
Conference_Titel :
Electron Devices and Solid-State Circuits, 2003 IEEE Conference on
Print_ISBN :
0-7803-7749-4
DOI :
10.1109/EDSSC.2003.1283570
