Reciprocating Compressor Fault Diagnosis Based on Airborne Acoustic Signal: Comparison Study Between Modulation Signal Bi-spectrum and Teager Energy Spectrum Method

Debanjan Mondal, Ruicheng Feng, Fengshou Gu, Andrew D. Ball

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

Abstract

Reciprocating air compressors are the one of the most complex machines in industrial application that involves a number of rotating and reciprocating parts. Maintenance and proper fault diagnosis of these machines are quite important. Airborne acoustic analysis can be a very good choice due to the less number of sensors associated with it, making it a cost effective method and also having a wide dynamic range, the microphones can record more detailed information compared to the other traditional methods. The acoustic signals of the compressor are nonstationary. The non-linear properties of the valve fluttering, fluid-mechanical interaction, resonance due to the turbulence flow through pipe and a huge background noise make it difficult to analyse the acoustic signals for detection of compressor faults. Depending on the nature of the acoustic signals obtained from a compressor two methods have been found to be very affective from the previous study. This paper reviews the application of the modulation signal bi-spectrum (MSB) method and Teager Kaiser Energy (TKE) method in order to compare the performances of these two methods for diagnosis of faults in a two stage reciprocating single acting air compressor.

Original languageEnglish
Title of host publicationProceedings of IncoME-V & CEPE Net-2020
Subtitle of host publicationCondition Monitoring, Plant Maintenance and Reliability
EditorsDong Zhen, Dong Wang, Tianyang Wang, Hongjun Wang, Baoshan Huang, Jyoti K. Sinha, Andrew David Ball
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Pages683-699
Number of pages17
Volume105
Edition1st
ISBN (Electronic)9783030757939
ISBN (Print)9783030757922
DOIs
Publication statusPublished - 16 May 2021
Event5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network - Zhuhai, China
Duration: 23 Oct 202025 Oct 2020
Conference number: 5
https://link.springer.com/book/10.1007/978-3-030-75793-9#about

Publication series

NameMechanisms and Machine Science
Volume105
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network
Abbreviated titleIncoME-V and CEPE Net-2020
CountryChina
CityZhuhai
Period23/10/2025/10/20
Internet address

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