Research on Application of Embedded System Based on Neural Network in Analog Circuit Fault Diagnosis
Tao Wang · 2017
With the rapid development of modern electronic technology, the circuit is highly integrated and large-scale, which leads to the complexity of circuit fault diagnosis.Based on this, a method put forward in this paper is to use BP neural network to diagnose the fault of analog circuits.According to the characteristics of neural network embedded system, a hard fault diagnosis system is designed and simulated.The simulation results show that the fault tolerance of analog circuits can be well recognized when the fault tolerance is about 5%.