Reliability assessment of the switched reluctance motor drive under single switch chopping strategy

Hao Chen, H. Yang, Y. Chen, Ho Ching Iu

    Research output: Contribution to journalArticle

    14 Citations (Scopus)

    Abstract

    © 2015 IEEE. In this paper, a detailed set of reliability prediction methodology for switched reluctance motor drive (SRD) considering system specific control strategy and component fault classification is elaborated from component level to system level. At component level, introduction to SRD and its single switch chopping strategy is presented to capture characteristics of SRD reliability under a certain control strategy. The unique fault modes classification and summary methods which are tailored to SRD are applied for identification of system dominant fault modes. Then at system level, binary models (reliability block diagram and partcount model) and multivariate model (Markov model) are adopted to build systematic SRD reliability model, respectively. Especially in the Markov model, state transition diagram and state probability matrix P(t) are built in detailed description to constitute the graphical and numerical Markov reliability model. Conclusions can be drawn that compared with RBD, Markov model can capture the effect of specific control strategy on system reliability, and further demonstrates the stronger consistency with SRD practical operation. Fault simulation and experiments are conducted to illustrate the influence on system operation state caused by a control strategy. Also, the results verify the state assessment of system performance after component-level fault occurs.
    Original languageEnglish
    Pages (from-to)2395-2408
    JournalIEEE Transactions on Power Electronics
    Volume31
    Issue number3
    DOIs
    Publication statusPublished - 2016

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    @article{a9cbf6581abc4330857b4d51ac44145b,
    title = "Reliability assessment of the switched reluctance motor drive under single switch chopping strategy",
    abstract = "{\circledC} 2015 IEEE. In this paper, a detailed set of reliability prediction methodology for switched reluctance motor drive (SRD) considering system specific control strategy and component fault classification is elaborated from component level to system level. At component level, introduction to SRD and its single switch chopping strategy is presented to capture characteristics of SRD reliability under a certain control strategy. The unique fault modes classification and summary methods which are tailored to SRD are applied for identification of system dominant fault modes. Then at system level, binary models (reliability block diagram and partcount model) and multivariate model (Markov model) are adopted to build systematic SRD reliability model, respectively. Especially in the Markov model, state transition diagram and state probability matrix P(t) are built in detailed description to constitute the graphical and numerical Markov reliability model. Conclusions can be drawn that compared with RBD, Markov model can capture the effect of specific control strategy on system reliability, and further demonstrates the stronger consistency with SRD practical operation. Fault simulation and experiments are conducted to illustrate the influence on system operation state caused by a control strategy. Also, the results verify the state assessment of system performance after component-level fault occurs.",
    author = "Hao Chen and H. Yang and Y. Chen and Iu, {Ho Ching}",
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    pages = "2395--2408",
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    Reliability assessment of the switched reluctance motor drive under single switch chopping strategy. / Chen, Hao; Yang, H.; Chen, Y.; Iu, Ho Ching.

    In: IEEE Transactions on Power Electronics, Vol. 31, No. 3, 2016, p. 2395-2408.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Reliability assessment of the switched reluctance motor drive under single switch chopping strategy

    AU - Chen, Hao

    AU - Yang, H.

    AU - Chen, Y.

    AU - Iu, Ho Ching

    PY - 2016

    Y1 - 2016

    N2 - © 2015 IEEE. In this paper, a detailed set of reliability prediction methodology for switched reluctance motor drive (SRD) considering system specific control strategy and component fault classification is elaborated from component level to system level. At component level, introduction to SRD and its single switch chopping strategy is presented to capture characteristics of SRD reliability under a certain control strategy. The unique fault modes classification and summary methods which are tailored to SRD are applied for identification of system dominant fault modes. Then at system level, binary models (reliability block diagram and partcount model) and multivariate model (Markov model) are adopted to build systematic SRD reliability model, respectively. Especially in the Markov model, state transition diagram and state probability matrix P(t) are built in detailed description to constitute the graphical and numerical Markov reliability model. Conclusions can be drawn that compared with RBD, Markov model can capture the effect of specific control strategy on system reliability, and further demonstrates the stronger consistency with SRD practical operation. Fault simulation and experiments are conducted to illustrate the influence on system operation state caused by a control strategy. Also, the results verify the state assessment of system performance after component-level fault occurs.

    AB - © 2015 IEEE. In this paper, a detailed set of reliability prediction methodology for switched reluctance motor drive (SRD) considering system specific control strategy and component fault classification is elaborated from component level to system level. At component level, introduction to SRD and its single switch chopping strategy is presented to capture characteristics of SRD reliability under a certain control strategy. The unique fault modes classification and summary methods which are tailored to SRD are applied for identification of system dominant fault modes. Then at system level, binary models (reliability block diagram and partcount model) and multivariate model (Markov model) are adopted to build systematic SRD reliability model, respectively. Especially in the Markov model, state transition diagram and state probability matrix P(t) are built in detailed description to constitute the graphical and numerical Markov reliability model. Conclusions can be drawn that compared with RBD, Markov model can capture the effect of specific control strategy on system reliability, and further demonstrates the stronger consistency with SRD practical operation. Fault simulation and experiments are conducted to illustrate the influence on system operation state caused by a control strategy. Also, the results verify the state assessment of system performance after component-level fault occurs.

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