Condition Monitoring of Reciprocating Compressor Based on Acoustic Imaging

Miaoshuo Li, Robin Appadoo, Wei Hu, Fengshou Gu, Andrew Ball

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

Abstract

Acoustical condition monitoring is capable of extracting the characteristics of operating machinery without installation of accelerometer. With the development of acoustic signal processing, the acoustical condition monitoring reactivates in recent years. One of the efficient technologies is acoustic imaging, which can localize and visualize the sound source position in different frequency band to suppress the noise interference. In this paper, the acoustic imaging technology is applied to perform condition monitoring of reciprocating compressor. The discharge valve leakage (DVL) of second stage cylinder are taken as an instance of compressor leakage. This experiment shows the potential to detect leakages of compressor. Firstly, the sound source positions of an operating reciprocating compressor are computed by an acoustic camera in different frequency bands. Secondly, the root mean square (RMS) are compared with baseline in certain frequency band, particularly the specific frequency of sound only emitted from around faulty position. The result shows that the RMS of DVL in specific frequency band would increase significantly.

Original languageEnglish
Title of host publicationAdvances in Asset Management and Condition Monitoring, COMADEM 2019
EditorsAndrew Ball, Len Gelman, B.K.N. Rao
PublisherSpringer, Cham
Pages977-983
Number of pages7
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
Country/TerritoryUnited Kingdom
CityHuddersfield
Period3/09/195/09/19
Internet address

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