A Multi-component Bearing Fault Diagnosis Using Fast Iterative Filtering Technique

J. P. Xing, T. R. Lin*, D. Mba

*Corresponding author for this work

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

    1 Citation (Scopus)
    Original languageEnglish
    Title of host publicationAdvances in Asset Management and Condition Monitoring, COMADEM 2019
    EditorsAndrew Ball, Len Gelman, B.K.N. Rao
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages609-620
    Number of pages12
    ISBN (Print)9783030577445
    DOIs
    Publication statusPublished (VoR) - 2020
    Event32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2019 - Huddersfield, United Kingdom
    Duration: 3 Sept 20195 Sept 2019

    Publication series

    NameSmart Innovation, Systems and Technologies
    Volume166
    ISSN (Print)2190-3018
    ISSN (Electronic)2190-3026

    Conference

    Conference32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2019
    Country/TerritoryUnited Kingdom
    CityHuddersfield
    Period3/09/195/09/19

    Keywords

    • AM-FM
    • Bearing fault diagnosis
    • Fast iterative filtering
    • Intrinsic mode functions
    • Multi-components

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