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The monitoring of cavitation in centrifugal pumps based on the analysis of vibro-acoustic measurements

Al Thobiani, Faisal, Gu, Fengshou and Ball, Andrew (2010) The monitoring of cavitation in centrifugal pumps based on the analysis of vibro-acoustic measurements. In: CM 2010 and MFPT 2010 : The Seventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, 22-24 June 2010, Stratford-upon-Avon, UK. (Unpublished)

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Abstract

Cavitation in centrifugal pumps causes damages to pump components and produces high levels of vibration and noise, which not only reduces pump performance but also consumes additional energy. Unfortunately, many pumps operate under a certain degree of cavitation for a number of reasons such as varying operating conditions, inadequate installation and harsh environments. To evaluate the degree of cavitation online and to take necessary actions at an early stage, this research focuses on developing a cavitation measurement technique using non-intrusive vibro acoustic techniques. In this paper, conventional vibro-acoustics measurements are examined with different dimensionless parameters for characterizing the signals and hence for cavitation diagnosis. Conventional parameters such as peak factors and kurtosis from both the time domain and frequency domain have been evaluated to be inefficient for indicating cavitation in different stages. However, the spectral entropy has been found to be more accurate in presenting the cavitation. Especially, the spectral entropy from airborne acoustics can yield a better diagnostic result than the surface vibration.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
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Depositing User: Cherry Edmunds
Date Deposited: 21 Jul 2010 10:52
Last Modified: 11 Mar 2013 11:35
URI: http://eprints.hud.ac.uk/id/eprint/8182

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