Hilbert-Huang Transforms for fault detection and degradation assessment in electrical motors

M. Rigamonti, Seppo Rantala

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


    The present work develops a methodology for the analysis of transient signals for fault detection and diagnosis in electrical motors. The objective of this work is the initial development of a Prognostic and Health Monitoring System (PHMS) for the demagnetization of the magnetic field source of a Permanent Magnet Synchronous Motor (PMSM) used in electrical vehicles. The developed methodology is based on the Hilbert-Huang Transform (HHT), a technique which is particularly suitable for processing oscillating transient signals, such as the stator currents typical of automotive electric traction machines. The HHT represents a time-dependent series in a two-dimensional time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process. The developed framework has been applied to four transients simulating different levels of demagnetization of the permanent magnet of the PMSM; the obtained results show that HHT enables us to detect and assess the degradation level for a demagnetized core of a PMSM.
    Original languageEnglish
    Title of host publicationSafety and reliability
    Subtitle of host publicationMethodology and applications
    EditorsTomasz Nowakowski, Marek Mlynczak, Anna Jodejko-Pietruczuk, Sylwia Werbinska-Wojciechowska
    PublisherCRC Press
    ISBN (Electronic)978-0-429-22682-3
    ISBN (Print)978-1-138-02681-0
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventEuropean Safety and Reliability Conference, ESREL 2014 - Wroclaw, Poland
    Duration: 14 Sept 201418 Sept 2014


    ConferenceEuropean Safety and Reliability Conference, ESREL 2014
    Abbreviated titleESREL 2014


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