Title :
Analog circuit fault diagnosis based on neural network and fuzzy logic
Author :
Bo, Fan ; Peng, Xue ; Junjie, Liu ; Ming, Dong
Author_Institution :
Missile Inst. of Air Force Eng. Univ., Sanyuan, China
Abstract :
RPROP network is applied to fault diagnosis of analog circuit in time domain and frequency domain. Also the diagnostic results are made use of fuzzy logic to carry on further diagnosis in time domain, frequency domain and comprehensive domain integrated the two domains. Analyses indicate that fault diagnosis of analog circuit using neural network and fuzzy logic in comprehensive domain is effective and accurate.
Keywords :
analogue circuits; circuit analysis computing; fault diagnosis; frequency-domain analysis; fuzzy logic; neural nets; time-domain analysis; RPROP network; analog circuit fault diagnosis; frequency domain; fuzzy logic; neural network; time domain; Analog circuits; Circuit faults; Circuit simulation; Dictionaries; Fault diagnosis; Frequency domain analysis; Fuzzy logic; Neural networks; Time domain analysis; Voltage; RPROP; analog circuit; fault diagnosis; fuzzy logic;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5195112
