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Automating the Diagnosis of Valve Faults in Reciprocating Compressors

Gu, Fengshou and Ball, Andrew (1996) Automating the Diagnosis of Valve Faults in Reciprocating Compressors. Maintenance & Asset Management Journal, 11 (3). pp. 19-22. ISSN 1748-5290

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Abstract

In the previous issue of Maintenance the authors showed that analysis of the Smoothed Pseudo Wigner Ville Distribution (SPWVD) can provide an interpretation of compressor valve vibration response and thus form a basis for valve fault diagnosis. The procedure is far from being routine, however, and is not without its difficulties. In this paper, a technique is presented for compressing SPWVD results, using a pattern similarity analysis, and hence deriving diagnostic parameters by means of which valve faults may be more readily assessed and diagnosed. Also important is the ability to correlate valve faults to deterioration in compressor performance. A 'trained' neural network method for accomplishing this has been developed.

Item Type: Article
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
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Depositing User: Cherry Edmunds
Date Deposited: 17 Nov 2014 12:26
Last Modified: 17 Nov 2014 12:26
URI: http://eprints.hud.ac.uk/id/eprint/22386

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