Extraction of periodic modulation of rotational speed from roller bearing vibration signals using a modulation template matching algorithm

Michael B. Van Dyke, Karl M. Reichard, David C. Swanson

    Research output: Contribution to journalConference articlepeer-review

    2 Scopus citations

    Abstract

    The periodic modulation of the rotational speed of a machine element such as a bearing element is recognized as a valuable feature in characterizing the physical condition of the machine component. A time domain template matching algorithm is introduced as a non-linear frequency modulation estimation technique for extracting this feature out of a vibration signal from a damaged machine component. The technique is applied to data taken from a damaged railroad car roller bearing. The results are compared with those obtained using a more standard baseband phase demodulation technique. Although the template matching algorithm is computationally expensive, it can be applied to a limited duration raw input signal, resulting in a set of well defined parameters, unlike the baseband demodulation technique which relies on filtering and synchronous averaging over a lengthy time duration.

    Original languageEnglish (US)
    Pages (from-to)201-206
    Number of pages6
    JournalProceedings - National Conference on Noise Control Engineering
    Volume1
    StatePublished - 1997
    EventProceedings of the 1997 National Conference on Noise Control Engineering , NOISE-CON. Part 2 (of 2) - University Park, PA, USA
    Duration: Jun 15 1997Jun 17 1997

    All Science Journal Classification (ASJC) codes

    • Acoustics and Ultrasonics

    Fingerprint

    Dive into the research topics of 'Extraction of periodic modulation of rotational speed from roller bearing vibration signals using a modulation template matching algorithm'. Together they form a unique fingerprint.

    Cite this