Research Article
Fault Detection Method of Electronic Circuit Converter Based on Dynamic Sequence Response
@INPROCEEDINGS{10.1007/978-3-030-94185-7_29, author={Dan-kang He and Qiu-jiao Huang}, title={Fault Detection Method of Electronic Circuit Converter Based on Dynamic Sequence Response}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={Dynamic sequence response Electronic circuit Converter fault detection}, doi={10.1007/978-3-030-94185-7_29} }- Dan-kang He
Qiu-jiao Huang
Year: 2022
Fault Detection Method of Electronic Circuit Converter Based on Dynamic Sequence Response
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_29
Abstract
Traditional electronic circuit converter fault detection methods take local eigenvalues as eigenvectors to analyze. In the actual work process, different factors will lead to the difference of electronic circuit converter features, which leads to the low accuracy of feature classification. Therefore, this paper designs an electronic circuit converter fault detection method based on dynamic sequence response. Firstly, the data collector is designed to complete the collection of electronic circuit converter signal, the analysis model based on dynamic sequence response analysis method is established, the short-circuit fault signal feature extraction based on wavelet transform, the fault detection classifier is optimized, the fault location algorithm is optimized, and the design of electronic circuit converter fault detection method based on dynamic sequence response is completed. The experimental results show that the accuracy of the traditional method is only 25.3%, and the accuracy of the designed method can reach 88.7%, which verifies the effectiveness of the design method.
