Aiming at the problem that single-phase rectifier transformation is prone to failure in the use of three-phase rectifier transformation, this paper introduces fuzzy logic genetic algorithm into the fault detection process of IGBT single-phase bridge arm structure. The algorithm mainly analyzes the DC side current in detail in the frequency domain to judge the fault of IGBT open circuit. In the fault diagnosis of single-phase bridge arm structure, the system circuit model is analyzed by sensors by using fuzzy logic genetic algorithm to judge the type of fault. Finally, the experimental results show that this method can detect faults in a fixed sampling period and in the frequency domain. It can effectively eliminate the interference of other frequency signals and increase the reliability of the system and the accuracy of fault diagnosis.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Fault Diagnosis of IGBT Single-Phase Bridge Arm Based on Fuzzy Logic Genetic Algorithm


    Beteiligte:
    Wu, Jie (Autor:in)

    Erscheinungsdatum :

    2022-01-01


    Anmerkungen:

    Tehnički vjesnik ; ISSN 1330-3651 (Print) ; ISSN 1848-6339 (Online) ; Volume 29 ; Issue 2


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    IGBT Open-Circuit Fault Diagnosis for MMC Based on Model Prediction

    Zhu, Qinyue / Li, Daquan / Tan, Xitang et al. | British Library Conference Proceedings | 2022


    IGBT Open-Circuit Fault Diagnosis for MMC Based on Model Prediction

    Zhu, Qinyue / Li, Daquan / Tan, Xitang et al. | TIBKAT | 2022


    IGBT Open-Circuit Fault Diagnosis for MMC Based on Model Prediction

    Zhu, Qinyue / Li, Daquan / Tan, Xitang et al. | Springer Verlag | 2022


    Fuzzy logic controller based Genetic algorithm for semi-active suspension

    Zhang, Jingjun / Gao, Ruizhen / Zhao, Ziyue et al. | Tema Archiv | 2012


    Medical image classification using genetic-algorithm based fuzzy-logic approach

    Tsai, D.-Y. / Lee, Y. / Sekiya, M. et al. | British Library Online Contents | 2004