Research on Fault Diagnosis Method for Analog Circuits Based on Deep Learning
This paper aims to study a fault diagnosis method for analog circuits based on deep learning.Through the analysis of traditional fault diagnosis methods and the successful application of deep learning technology in other fields,a deep learning based analog circuit fault diagnosis method is proposed.By constructing appropriate datasets,designing appropriate neural network models,and optimizing training algorithms,accurate diagnosis of faults in analog circuits can be achieved.This method can effectively improve the accuracy and efficiency of fault diagnosis,and has broad application prospects.
万方数据
维普
