An investigation into vibration response for condition monitoring of reciprocating compressor based on modulation signal spectrum analysis

Usama Haba, Khaldoon Brethee, Osama Hassin, Fengshou Gu, Andrew D. Ball

Research output: Contribution to journalConference article

Abstract

Reciprocating compressors (RC) are widely used in different industrial sectors such as petrochemicals, petroleum refineries, and refrigeration plants, etc. These Machines usually work under different operating conditions (high pressure and high temperature), which in turns cause failures to its system including driver motor. Leakage within compressor system is a common failure mode caused by the harsh working environment of RC. Nonetheless, it degrades operating efficiency and leads to other major failures such as valve failure and catastrophic breakage. This paper investigates the use of advanced signal processing methods for RC fault diagnostics. It studies the vibration characteristics of different fault conditions when the compressor operates under a wide range of discharge pressures. Both the conventional spectrum analysis and the state of the art modulation signal bispectrum (MSB) analysis are used to process the vibration responses from structure resonances and operating speeds for attaining an accurate characterisation of the nonlinear vibration responses due to mechanical impacts of valve plates upon their seats, fluctuation of airflow and nonlinear transfer paths. Thereby obtain stable and accurate features to indicate the root of the faults. The results show that MSB produces more reliable and better performance in extracting fault features for more accurate detection and diagnosis of different RC faults compared with spectrum analysis.

LanguageEnglish
Pages31-37
Number of pages7
JournalInternational Journal of COMADEM
Volume21
Issue number3
Publication statusPublished - Jul 2018
Event30th International Congress & Exhibition on Condition Monitoring and Diagnostic Engineering Management - University of Central Lancashire, Preston, United Kingdom
Duration: 10 Jul 201713 Jul 2017
Conference number: 30
http://www.comadem2017.com/ (Link to Conference Website)

Fingerprint

Reciprocating compressors
Condition monitoring
Spectrum analysis
Modulation
Compressors
Petroleum refineries
Signal analysis
Refrigeration
Seats
Petrochemicals
Failure modes
Vibrations (mechanical)
Signal processing
Fault
Vibration
Temperature

Cite this

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abstract = "Reciprocating compressors (RC) are widely used in different industrial sectors such as petrochemicals, petroleum refineries, and refrigeration plants, etc. These Machines usually work under different operating conditions (high pressure and high temperature), which in turns cause failures to its system including driver motor. Leakage within compressor system is a common failure mode caused by the harsh working environment of RC. Nonetheless, it degrades operating efficiency and leads to other major failures such as valve failure and catastrophic breakage. This paper investigates the use of advanced signal processing methods for RC fault diagnostics. It studies the vibration characteristics of different fault conditions when the compressor operates under a wide range of discharge pressures. Both the conventional spectrum analysis and the state of the art modulation signal bispectrum (MSB) analysis are used to process the vibration responses from structure resonances and operating speeds for attaining an accurate characterisation of the nonlinear vibration responses due to mechanical impacts of valve plates upon their seats, fluctuation of airflow and nonlinear transfer paths. Thereby obtain stable and accurate features to indicate the root of the faults. The results show that MSB produces more reliable and better performance in extracting fault features for more accurate detection and diagnosis of different RC faults compared with spectrum analysis.",
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An investigation into vibration response for condition monitoring of reciprocating compressor based on modulation signal spectrum analysis. / Haba, Usama; Brethee, Khaldoon; Hassin, Osama; Gu, Fengshou; Ball, Andrew D.

In: International Journal of COMADEM, Vol. 21, No. 3, 07.2018, p. 31-37.

Research output: Contribution to journalConference article

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