Design And Implementation Of A Radar Fault Diagnosis Based On Artificial Neural Network

With the development and application of computer technology and control technology, the degree of automation of military equipment is also increasing. Failure, failure process and failure phenomenon becomes perplexing, studying how to use the modern diagnostic technique for large-scale circuits with tolerance to accurately diagnose the fault element, is an urgent subject in practical project, and fault diagnosis circuit simulation theory and key step to the practical application of the law. And it is one of the key steps towards the practical application of analog circuit fault diagnosis theories and methods.This paper introduces the current situation of the development in recent years and the basic theory of fault diagnosis technology.The fault diagnosis methods are briefly reviewed,and the theory of fault diagnosis technology is introduced. This article expounds the necessity of artificial neural network is widely used in the field of fault diagnosis. Introduces the basic theory of artificial neural network, focuses on the research of the improvement algorithm based on BP neural network, and the combination of expert system and BP neural network theory are applied to the fault diagnosis of a certain type of radar.Finally,the design and implementation of a radar fault diagnosis system is described in detail, and a simple radar fault diagnosis system is establishment by Visual Fox Pro 8 Language and the host computer hardware circuit such as the establishment. The results show that, combined with expert system is proposed in this paper and the application of BP neural network to a certain type of radar fault diagnosis method, is feasible, and has good application prospects.