Enhanced vibration monitoring using parametric modelling technique

Seppo Rantala, Risto Suoranta

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

    8 Citations (Scopus)


    A parametric modeling technique has been applied to the predictive maintenance of rotating machinery. The case, which is explained in detail, was taken from an experiment in which a one-step gearbox was run at about 150% of nominal load until failure occurred. During the experiment, vibration signals from the gearbox were measured. The novelty of this work is to analyze the residual signal obtained by computing the difference between the predicted and measured signal. A parametric modeling technique called autoregressive modeling is utilized in the prediction procedure. The analysis of the residual signal proved to be successful; the failure could be predicted easier and earlier than using traditional fast Fourier transform (FFT)-based methods
    Original languageEnglish
    Title of host publicationIEEE Instrumentation and Measurement Technology Conference
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Print)0-87942-579-2
    Publication statusPublished - 1991
    MoE publication typeA4 Article in a conference publication


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