Soft Fault Diagnosis for DC-DC Converters with Wavelet Transform and Fuzzy Cerebellar Model Neural Networks

Zipeng Han, Qiongbin Lin, Zhe Zhang

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    Abstract

    Identifying the soft faults of converters in power electronic converter is a significant problem for the stable and efficient operation of power systems. This paper proposed a novel soft fault diagnosis method based on wavelet transform and fuzzy cerebellar model neural networks (WT-FCMNN) for DC-DC Converters. First, the multiscale feature extraction is achieved by multilevel signal decomposition to extract the feature information of different frequency ranges signal. Meanwhile, optimal wavelet decomposition scale and feature dimension reduction are used to reduce computational quantity and eliminate redundant information. Then, in order to effectively diagnose soft faults in DC-DC converters, a classifier based on FCMNN is proposed to identify different operating states of the capacitor and power MOSFETs in push-pull circuits. Finally, two common fault diagnosis methods and the proposed FCMNN are performed for circuit fault diagnosis. Compared with the BPNN and SVM, simulation results show that the proposed method has a better generalization, fast diagnosis speed and higher diagnostic accuracy that proves its effectiveness and feasibility in soft fault diagnosis.
    Original languageEnglish
    Title of host publicationProceedings of IEEE 9th International Power Electronics and Motion Control Conference
    PublisherIEEE
    Publication date2021
    Pages1811-1815
    DOIs
    Publication statusPublished - 2021
    Event2020 IEEE 9th International Power Electronics and Motion Control Conference - International Youth Cultural Centre, Nanjing, China
    Duration: 29 Nov 20202 Dec 2020
    https://epe-ecce-conferences.com/epe2020/ipemc-2020-ecce-asia/

    Conference

    Conference2020 IEEE 9th International Power Electronics and Motion Control Conference
    LocationInternational Youth Cultural Centre
    Country/TerritoryChina
    CityNanjing
    Period29/11/202002/12/2020
    Internet address

    Bibliographical note

    2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia)

    Keywords

    • Soft fault diagnosis
    • Wavelet transform
    • Fuzzy cerebellar model neural networks
    • DC-DC converter

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