Research on Application of Embedded System Based on Neural Network in Analog Circuit Fault Diagnosis

摘要

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%.