Authors: Yumei Tao
Addresses: Shijiazhuang Information Engineering Vocational College, 18 Xingong Road, High-tech Zone, Shijiazhuang City, Shijiazhuang 050000, China
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.
Keywords: artificial intelligence; electronic circuit; fault diagnosis; fault data mining.
International Journal of Biometrics, 2022 Vol.14 No.2, pp.191 - 198
Received: 01 Sep 2020
Accepted: 19 Nov 2020
Published online: 07 Apr 2022 *