Volume 42, Issue 4 (July 2014)

    Monitoring the Aging of Industrial Motors by Geometric Trending of Frequency Domain Signatures

    (Received 9 April 2013; accepted 25 November 2013)

    Published Online: 2014

    CODEN: JTEOAD

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    Abstract

    The characterization of the aging of electric motors using vibration measurements and a geometric interpretation of spectral domain signatures is presented. For comparison, two vibration signal records from a three-phase induction motor were acquired during degradation due to bearing fluting, following thermal and chemical aging sequences. Power spectral densities (PSD) of the vibration signals were calculated and linear approximations to the spectral signatures were used to observe the overall trend. The intersection point and slopes of these linear representations were used to extract certain critical frequencies in order to define convex regions (CR) and convex hulls (CH) as representatives of the aging (degradation) process. Furthermore, using these CRs and CHs, the functional readiness of motors could be determined by comparison of the signatures for initial and aged conditions.


    Author Information:

    Bayram, Duygu
    Istanbul Technical Univ., Electrical Engineering Department, Istanbul,

    Şeker, Serhat
    Istanbul Technical Univ., Electrical Engineering Department, Istanbul,

    Upadhyaya, Belle R.
    Univ. of Tennessee, Nuclear Engineering Dept., Knoxville, TN


    Stock #: JTE20130086

    ISSN: 0090-3973

    DOI: 10.1520/JTE20130086

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    Author
    Title Monitoring the Aging of Industrial Motors by Geometric Trending of Frequency Domain Signatures
    Symposium , 0000-00-00
    Committee E11