Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor

Ugonnaya Enyinnaya Muo, Yuandong Xu, Andrew Ball, Fengshou Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an investigative study of using pressure pulsations from a reciprocating compressor for fault detection and condition monitoring adopting wavelet packet transform and envelope analysis. The pulsation signals from the compressor usually consist of resonance frequencies; theses frequencies within the system become detrimental if their amplitudes are significantly high due to system configuration or component deterioration (fault). In this study, pulsation signals from the compressor are divided into bands for easier analysis and each band is de-noised by applying a hard threshold based on standard deviation of the signal. In addition, envelope analysis of the de-noised band signals is computed and a statistical parameter (root mean square) is used to determine the best band for classification. Finally, entropy against kurtosis plot is used to classify the investigated faults. The results show pressure pulsations from the reciprocating compressor as an effective condition monitoring method for system resonance identification and valve fault detection.

Original languageEnglish
Title of host publicationAdvances in Asset Management and Condition Monitoring, COMADEM 2019
EditorsAndrew Ball, Len Gelman, B.K.N. Rao
PublisherSpringer, Cham
Pages525-535
Number of pages11
Volume166
ISBN (Electronic)9783030577452
ISBN (Print)9783030577445
DOIs
Publication statusPublished - 28 Aug 2020
Event32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom
Duration: 3 Sep 20195 Sep 2019
Conference number: 32
http://www.comadem2019.com/ (Link to Conference Website)

Publication series

NameSmart Innovation, Systems and Technologies
PublisherSpringer
Volume166
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference
Abbreviated titleCOMADEM 2019
CountryUnited Kingdom
CityHuddersfield
Period3/09/195/09/19
Internet address

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