Application of wavelet packet transform and envelope analysis to non-stationary vibration signals for fault diagnosis of a reciprocating compressor

Ugonnaya Enyinnaya Ogbulafor, Guojin Feng, Zainab Mones, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reciprocating compressors play a major role in manufacturing industries such as oil and gas refineries, petrochemical industrial plants, etc. Therefore, it is necessary to implement online condition monitoring for early and accurate detection of faults which if not fixed can lead to machine inefficiency, damage, or total system shutdown. This paper presents the application of wavelet packet transform (WPT) and envelope analysis to non-stationary vibration signal from a two-stage reciprocating compressor for fault diagnostics. Vibration signals measured on the reciprocating compressor consist of a series of impulsive events with non-stationary and random characteristics, which result mostly from mechanical impacts of the valves and impulsive fluid excitation of highpressure turbulent flows. To characterise such vibration signals, WPT is employed to decompose them into the time-frequency domain for reliable extraction of diagnostic information. With the help of statistical based analysis, the most optimal terminal node of the wavelet packet is selected for envelope analysis. The first and the third harmonics of the envelope spectrum are found to be reliable for the classification of three common faults including intercooler leakage, second-stage discharge valve leakage and a combined fault under the wide range operating pressures of a reciprocating compressor.

LanguageEnglish
Title of host publication1st World Congress on Condition Monitoring
Subtitle of host publication(WCCM 2017)
PublisherBritish Institute of Non-Destructive Testing
ISBN (Electronic)9780903132648
Publication statusPublished - 2017
Event1st World Congress on Condition Monitoring - ILEC Conference Centre, London, United Kingdom
Duration: 13 Jun 201716 Jun 2017
http://www.bindt.org/events/PastEvents/WCCM-2017/ (Link to Conference Website)

Conference

Conference1st World Congress on Condition Monitoring
Abbreviated titleWCCM 2017
CountryUnited Kingdom
CityLondon
Period13/06/1716/06/17
Internet address

Fingerprint

Reciprocating compressors
Failure analysis
Condition monitoring
Petrochemicals
Turbulent flow
Industrial plants
Fluids
Gases
Industry

Cite this

Ogbulafor, U. E., Feng, G., Mones, Z., Gu, F., & Ball, A. D. (2017). Application of wavelet packet transform and envelope analysis to non-stationary vibration signals for fault diagnosis of a reciprocating compressor. In 1st World Congress on Condition Monitoring: (WCCM 2017) British Institute of Non-Destructive Testing.
Ogbulafor, Ugonnaya Enyinnaya ; Feng, Guojin ; Mones, Zainab ; Gu, Fengshou ; Ball, Andrew D. / Application of wavelet packet transform and envelope analysis to non-stationary vibration signals for fault diagnosis of a reciprocating compressor. 1st World Congress on Condition Monitoring: (WCCM 2017). British Institute of Non-Destructive Testing, 2017.
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abstract = "Reciprocating compressors play a major role in manufacturing industries such as oil and gas refineries, petrochemical industrial plants, etc. Therefore, it is necessary to implement online condition monitoring for early and accurate detection of faults which if not fixed can lead to machine inefficiency, damage, or total system shutdown. This paper presents the application of wavelet packet transform (WPT) and envelope analysis to non-stationary vibration signal from a two-stage reciprocating compressor for fault diagnostics. Vibration signals measured on the reciprocating compressor consist of a series of impulsive events with non-stationary and random characteristics, which result mostly from mechanical impacts of the valves and impulsive fluid excitation of highpressure turbulent flows. To characterise such vibration signals, WPT is employed to decompose them into the time-frequency domain for reliable extraction of diagnostic information. With the help of statistical based analysis, the most optimal terminal node of the wavelet packet is selected for envelope analysis. The first and the third harmonics of the envelope spectrum are found to be reliable for the classification of three common faults including intercooler leakage, second-stage discharge valve leakage and a combined fault under the wide range operating pressures of a reciprocating compressor.",
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Ogbulafor, UE, Feng, G, Mones, Z, Gu, F & Ball, AD 2017, Application of wavelet packet transform and envelope analysis to non-stationary vibration signals for fault diagnosis of a reciprocating compressor. in 1st World Congress on Condition Monitoring: (WCCM 2017). British Institute of Non-Destructive Testing, 1st World Congress on Condition Monitoring, London, United Kingdom, 13/06/17.

Application of wavelet packet transform and envelope analysis to non-stationary vibration signals for fault diagnosis of a reciprocating compressor. / Ogbulafor, Ugonnaya Enyinnaya; Feng, Guojin; Mones, Zainab; Gu, Fengshou; Ball, Andrew D.

1st World Congress on Condition Monitoring: (WCCM 2017). British Institute of Non-Destructive Testing, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Feng, Guojin

AU - Mones, Zainab

AU - Gu, Fengshou

AU - Ball, Andrew D.

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N2 - Reciprocating compressors play a major role in manufacturing industries such as oil and gas refineries, petrochemical industrial plants, etc. Therefore, it is necessary to implement online condition monitoring for early and accurate detection of faults which if not fixed can lead to machine inefficiency, damage, or total system shutdown. This paper presents the application of wavelet packet transform (WPT) and envelope analysis to non-stationary vibration signal from a two-stage reciprocating compressor for fault diagnostics. Vibration signals measured on the reciprocating compressor consist of a series of impulsive events with non-stationary and random characteristics, which result mostly from mechanical impacts of the valves and impulsive fluid excitation of highpressure turbulent flows. To characterise such vibration signals, WPT is employed to decompose them into the time-frequency domain for reliable extraction of diagnostic information. With the help of statistical based analysis, the most optimal terminal node of the wavelet packet is selected for envelope analysis. The first and the third harmonics of the envelope spectrum are found to be reliable for the classification of three common faults including intercooler leakage, second-stage discharge valve leakage and a combined fault under the wide range operating pressures of a reciprocating compressor.

AB - Reciprocating compressors play a major role in manufacturing industries such as oil and gas refineries, petrochemical industrial plants, etc. Therefore, it is necessary to implement online condition monitoring for early and accurate detection of faults which if not fixed can lead to machine inefficiency, damage, or total system shutdown. This paper presents the application of wavelet packet transform (WPT) and envelope analysis to non-stationary vibration signal from a two-stage reciprocating compressor for fault diagnostics. Vibration signals measured on the reciprocating compressor consist of a series of impulsive events with non-stationary and random characteristics, which result mostly from mechanical impacts of the valves and impulsive fluid excitation of highpressure turbulent flows. To characterise such vibration signals, WPT is employed to decompose them into the time-frequency domain for reliable extraction of diagnostic information. With the help of statistical based analysis, the most optimal terminal node of the wavelet packet is selected for envelope analysis. The first and the third harmonics of the envelope spectrum are found to be reliable for the classification of three common faults including intercooler leakage, second-stage discharge valve leakage and a combined fault under the wide range operating pressures of a reciprocating compressor.

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Ogbulafor UE, Feng G, Mones Z, Gu F, Ball AD. Application of wavelet packet transform and envelope analysis to non-stationary vibration signals for fault diagnosis of a reciprocating compressor. In 1st World Congress on Condition Monitoring: (WCCM 2017). British Institute of Non-Destructive Testing. 2017