A New Analog Circuit Fault Diagnosis System Based on BPNN
Xie Hong · Microelectronics & Computer · 2008
The theory for identification and diagnosis of faults in analog circuits based on Back-Propagation Neural Net- work(BPNN)was introduced.The hardware system for fault-diagnosis with digital signal processor(DSP)was designed and implemented.This system was designed with modularized construction,convenient enlargement and high-speed sam- pling.The eigenvector was constituted from sampled data and trained by BP network.Then the output of BPNN will in- dicate the classification of faults in analog circuits and PCB.At last,the illustrative example of hardware structure of the fault-diagnosis of PCB with single soft and double soft faults was given.