May 14, 2021 · 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 ...
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 ...
Nov 29, 2023 · Soft Fault Diagnosis of Analog Circuits Based on a ResNet With Circuit Spectrum Map. Lipeng Ji, Chenqi Fu, Weiqing Sun. 2021, IEEE ...
Jul 1, 2021 · In this study, an improved method for analog circuit fault diagnosis based on a deep residual network is presented. The proposed method utilizes ...
Finally, an 18-layer residual neural network (ResNet-18) is used to perform feature extraction and learning on the GAF_RP images, to achieve accurate soft fault ...
May 17, 2023 · Analog circuit fault diagnosis is widely used to ensure normal operation and fault location electronic equipment.
May 17, 2023 · In this study, a new method for fault diagnosis of analog circuits based on classification of Gramian angular summation field and recurrence ...
This paper describes an approach of soft fault diagnosis for analog circuits based on slope fault feature and back propagation neural networks (BPNN).
A novel fault diagnosis method for analog circuits based on multi-input deep residual networks with an improved empirical wavelet transform.