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dc.contributor.authorMcKee, Kristoffer
dc.contributor.authorForbes, Gareth
dc.contributor.authorMazhar, Ilyas
dc.contributor.authorEntwistle, Rodney
dc.contributor.authorHodkiewicz, M.
dc.contributor.authorHoward, Ian
dc.identifier.citationMcKee, 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.

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.

dc.subjectCondition Based Monitoring
dc.subjectPrincipal Component Analysis
dc.subjectCentrifugal Pumps
dc.subjectOctave Band Analysis
dc.titleA vibration cavitation sensitivity parameter based on spectral and statistical methods
dc.typeJournal Article
dcterms.source.titleExpert Systems with Applications

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:

curtin.departmentDepartment of Mechanical Engineering
curtin.accessStatusOpen access
curtin.contributor.orcidHoward, Ian [0000-0003-3999-9184]

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