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    A vibration cavitation sensitivity parameter based on spectral and statistical methods

    200481_200481.pdf (926.8Kb)
    Access Status
    Open access
    Authors
    McKee, Kristoffer
    Forbes, Gareth
    Mazhar, Ilyas
    Entwistle, Rodney
    Hodkiewicz, M.
    Howard, Ian
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    McKee, K. and Forbes, G. and Mazhar, I. and Entwistle, R. and Hodkiewicz, M. and Howard, I. 2015. A vibration cavitation sensitivity parameter based on spectral and statistical methods. Expert Systems with Applications. 42 (1): pp. 67-78.
    Source Title
    Expert Systems with Applications
    DOI
    10.1016/j.eswa.2014.07.029
    ISSN
    0957-4174
    School
    Department of Mechanical Engineering
    Remarks

    NOTICE: this is the author’s version of a work that was accepted for publication in the journal Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in the journal Expert Systems with Applications, Vol.42 (2014). DOI: http://doi.org/10.1016/j.eswa.2014.07.029

    URI
    http://hdl.handle.net/20.500.11937/11597
    Collection
    • Curtin Research Publications
    Abstract

    Cavitation is one of the main problems reducing the longevity of centrifugal pumps in industry today. If the pump operation is unable to maintain operating conditions around the best efficiency point, it can be subject to conditions that may lead to vaporisation or flashing in the pipes upstream of the pump. The implosion of these vapour bubbles in the impeller or volute causes damaging effects to the pump. A new method of vibration cavitation detection is proposed in this paper, based on adaptive octave band analysis, principal component analysis and statistical metrics. Full scale industrial pump efficiency testing data was used to determine the initial cavitation parameters for the analysis. The method was then tested using vibration measured from a number of industry pumps used in the water industry. Results were compared to knowledge known about the state of the pump, and the classification of the pump according to ISO 10816.

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