Application of Information Fusion in Analog Circuit Fault Diagnosis System
Fang Ge-feng · Jisuanji gongcheng · 2012
An analog circuit fault diagnosis system is designed based on information fusion and neural network theory.By measuring accessible node voltages and peak of output voltage under different excitation frequencies with microcontroller based signal acquisition system,two types of fault characteristic parameters of voltage and magnification are acquired.Preliminary diagnosis is performed separately by BP neural networks with these two characteristic parameters.Fused diagnosis and fault location is accomplished by using fuzzy transform method.Experimental results show that this system can locate different types of component fault with higher accuracy compared with diagnosis system based on single test information.