Abstract:The fault diagnosis of aerospace electronic circuits has been a hot research topic in the field of space reliability. The failure of space electronic circuits can directly affect the success of space missions. In this study, an improved method for analog circuit fault diagnosis based on a deep residual network is presented. The proposed method utilizes a ResNet to extract the performance characteristics of an analog circuit and determine the fault type of a component to realize the fault diagnosis of a circuit. And the Short-time Fourier Transform is used to convert the time-domain output signals of a circuit into two-dimensional circuit images, which are further used as the ResNet input. The fault diagnostic performance of the proposed method is verified by simulation and the results show that the proposed method can achieve the diagnostic accuracy of up to 99.1%.