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Soft Fault Diagnosis of Analog Circuits Based on Classification of GAF_RP Images With ResNet

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Abstract

Analog circuit fault diagnosis is widely used to ensure normal operation and fault location electronic equipment. In this study, a new method for fault diagnosis of analog circuits based on classification of Gramian angular summation field and recurrence plot (GAF_RP) images is presented. The proposed method converts the time-response sequence signals of the analog circuit into a GAF_RP image through the Gramian angular summation field, the Gramian angular difference field and the recurrence plot methods. Therefore, more feature information about the time-response sequence signals can be obtained. And the bilinear interpolation method is used to compress the image, which improves the efficiency of neural network training and testing. 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 diagnosis of analog circuits. The simulation and actual experiment verify that this method can realize accurate and reliable soft fault diagnosis of the analog circuit.

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Data Availability

The data used in this paper are obtained by the general data acquisition method in the field of analog circuit fault diagnosis, which has been described in detail in Sect. 4 of the article. The circuits used by each researcher to construct the dataset may be different. Therefore, the dataset generated during this study is not public, but can be obtained from the corresponding authors upon reasonable requirement.

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Authors and Affiliations

  1. College of Physics and Electronic Engineering, Sichuan Normal University, No. 1819, Section 2, Chenglong Avenue, Longquanyi District, Chengdu, 610101, Sichuan, China

    Xuanzhong Tang, Xin Zhou & Wenhai Liang

  2. Key Laboratory of Wireless Sensor Networks, Sichuan Normal University, No. 1819, Section 2, Chenglong Avenue, Longquanyi District, Chengdu, 610101, Sichuan, China

    Xuanzhong Tang, Xin Zhou & Wenhai Liang

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  1. Xuanzhong Tang
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  2. Xin Zhou
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Correspondence to Wenhai Liang.

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Tang, X., Zhou, X. & Liang, W. Soft Fault Diagnosis of Analog Circuits Based on Classification of GAF_RP Images With ResNet. Circuits Syst Signal Process 42, 5761–5782 (2023). https://doi.org/10.1007/s00034-023-02392-5

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