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Diagnosis of Impeller Faults in a Centrifugal Pump Using Vibration Signals

Al-Braik, Abdulrahman, Hamomd, Osama, Gu, Fengshou and Ball, Andrew (2014) Diagnosis of Impeller Faults in a Centrifugal Pump Using Vibration Signals. In: Eleventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, 10th - 12th June 2014, Manchester, UK.

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Abstract

Centrifugal pumps are widely used in many critical applications. To ensure the safety and high performance of pump operations vibration techniques are generally used for condition monitoring. However it has noticed that less research has paid to developing monitoring approaches to the faults on impellers which is core part and subject to constant erosions. This paper focus on the studies of vibration responses to the incipient van tip faults on impellers and developing corresponding features to detect and diagnose this faults. It has found that the spectral components from flow turbulence are predominant in the high frequency range above 1kHz, which are shown less changes due to defects on the exit tip of impellers. On the other hand the discrete components caused by the interaction of flow, impeller and casing show more definitive changes due to the defects. In particular the amplitudes at vane passing frequency and the higher order harmonics at shaft frequency can be effective features for the detection and diagnosis of the fault severity.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
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: 30 Jun 2014 14:57
Last Modified: 02 Dec 2016 07:56
URI: http://eprints.hud.ac.uk/id/eprint/21052

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