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

Abstract

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: methodology and applications
Subtitle of host publicationProceedings of the European Safety and Reliability Conference, ESREL 2014
PublisherTaylor & Francis
Pages939-944
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 Sep 201418 Sep 2014

Conference

ConferenceEuropean Safety and Reliability Conference, ESREL 2014
Abbreviated titleESREL 2014
CountryPoland
CityWroclaw
Period14/09/1418/09/14

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Rigamonti, M., & Rantala, S. (2014). Hilbert-Huang Transforms for fault detection and degradation assessment in electrical motors. In Safety and reliability: methodology and applications: Proceedings of the European Safety and Reliability Conference, ESREL 2014 (pp. 939-944). Taylor & Francis.