Title :
A Fault Diagnosis Method for Analog Circuit Based on GRBF Network and Frequency Spectrum Analysis
Author :
Ying, Liu ; Li Feng-yu ; Gu-bing, Lu
Author_Institution :
Coll. of Electr. & Inf. Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
GRBF neural network and frequency spectrum analysis are applied to fault diagnosis for component of power electronic equipment in certain facility. By collecting the voltage signals of key points and proceeding Fourier analysis, the structural parameters of GRBF network are determined. Fault determination mode is established. Both experimental and simulation results show that the proposed method is feasible.
Keywords :
analogue circuits; fault diagnosis; neural nets; power electronics; GRBF neural network; analog circuit; fault diagnosis method; frequency spectrum analysis; power electronic equipment; Automation; Mechatronics; Fault diagnosis; GRBF neural network; Spectrum analysis;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.19
