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Design of electronic circuit fault diagnosis based on artificial intelligence

Design of electronic circuit fault diagnosis based on artificial intelligence In order to reduce the failure of electronic circuit components in large-scale circuit systems, it is necessary to design the fault diagnosis of electronic circuits to improve the steady-state working ability of electronic circuits. This paper proposes an electronic circuit fault diagnosis method based on artificial intelligence algorithm. The proposed method establishes the fault signal model of the circuit element, and then establishes the fault analysis model, and uses the data mining method to detect and analyse the fault characteristics. The signal detection method is used to analyse and discover the parameter state characteristics of the output of the electronic circuit, and the wavelet transform method is used to detect and identify the state. Experimental result shows that the proposed method has a good judgment function in circuit fault diagnosis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Biometrics Inderscience Publishers

Design of electronic circuit fault diagnosis based on artificial intelligence

International Journal of Biometrics , Volume 14 (2): 8 – Jan 1, 2022

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1755-8301
eISSN
1755-831X
DOI
10.1504/ijbm.2022.121802
Publisher site
See Article on Publisher Site

Abstract

In order to reduce the failure of electronic circuit components in large-scale circuit systems, it is necessary to design the fault diagnosis of electronic circuits to improve the steady-state working ability of electronic circuits. This paper proposes an electronic circuit fault diagnosis method based on artificial intelligence algorithm. The proposed method establishes the fault signal model of the circuit element, and then establishes the fault analysis model, and uses the data mining method to detect and analyse the fault characteristics. The signal detection method is used to analyse and discover the parameter state characteristics of the output of the electronic circuit, and the wavelet transform method is used to detect and identify the state. Experimental result shows that the proposed method has a good judgment function in circuit fault diagnosis.

Journal

International Journal of BiometricsInderscience Publishers

Published: Jan 1, 2022

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