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

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

doi:10.1007/978-3-030-57745-2_44

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	Advances in Asset Management and Condition Monitoring, COMADEM 2019
Editors	Andrew Ball, Len Gelman, B.K.N. Rao
Publisher	Springer, Cham
Pages	525-535
Number of pages	11
Volume	166
ISBN (Electronic)	9783030577452
ISBN (Print)	9783030577445
DOIs	https://doi.org/10.1007/978-3-030-57745-2_44
Publication status	Published - 28 Aug 2020
Event	32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom Duration: 3 Sept 2019 → 5 Sept 2019 Conference number: 32 http://www.comadem2019.com/ (Link to Conference Website)

Publication series

Name	Smart Innovation, Systems and Technologies
Publisher	Springer
Volume	166
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference
Abbreviated title	COMADEM 2019
Country/Territory	United Kingdom
City	Huddersfield
Period	3/09/19 → 5/09/19
Internet address	http://www.comadem2019.com/ (Link to Conference Website)

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10.1007/978-3-030-57745-2_44Licence: Unspecified

Cite this

Muo, U. E., Xu, Y., Ball, A., & Gu, F. (2020). Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor. In A. Ball, L. Gelman, & B. K. N. Rao (Eds.), Advances in Asset Management and Condition Monitoring, COMADEM 2019 (Vol. 166, pp. 525-535). (Smart Innovation, Systems and Technologies; Vol. 166). Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_44

Muo, Ugonnaya Enyinnaya ; Xu, Yuandong ; Ball, Andrew et al. / Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor. Advances in Asset Management and Condition Monitoring, COMADEM 2019. editor / Andrew Ball ; Len Gelman ; B.K.N. Rao. Vol. 166 Springer, Cham, 2020. pp. 525-535 (Smart Innovation, Systems and Technologies).

@inproceedings{452bcbc14666429199b07a3664f7d28f,

title = "Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor",

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.",

keywords = "Acoustic resonance fault diagnosis, Condition monitoring, Envelope analysis, Pressure pulsation, Reciprocating compressor, Wavelet packet transform",

author = "Muo, \{Ugonnaya Enyinnaya\} and Yuandong Xu and Andrew Ball and Fengshou Gu",

year = "2020",

month = aug,

day = "28",

doi = "10.1007/978-3-030-57745-2\_44",

language = "English",

isbn = "9783030577445",

volume = "166",

series = "Smart Innovation, Systems and Technologies",

publisher = "Springer, Cham",

pages = "525--535",

editor = "Andrew Ball and Len Gelman and B.K.N. Rao",

booktitle = "Advances in Asset Management and Condition Monitoring, COMADEM 2019",

address = "Switzerland",

note = "32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference, COMADEM 2019 ; Conference date: 03-09-2019 Through 05-09-2019",

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Muo, UE, Xu, Y, Ball, A & Gu, F 2020, Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor. in A Ball, L Gelman & BKN Rao (eds), Advances in Asset Management and Condition Monitoring, COMADEM 2019. vol. 166, Smart Innovation, Systems and Technologies, vol. 166, Springer, Cham, pp. 525-535, 32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference, Huddersfield, United Kingdom, 3/09/19. https://doi.org/10.1007/978-3-030-57745-2_44

Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor. / Muo, Ugonnaya Enyinnaya; Xu, Yuandong; Ball, Andrew et al.
Advances in Asset Management and Condition Monitoring, COMADEM 2019. ed. / Andrew Ball; Len Gelman; B.K.N. Rao. Vol. 166 Springer, Cham, 2020. p. 525-535 (Smart Innovation, Systems and Technologies; Vol. 166).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor

AU - Muo, Ugonnaya Enyinnaya

AU - Xu, Yuandong

AU - Ball, Andrew

AU - Gu, Fengshou

N1 - Conference code: 32

PY - 2020/8/28

Y1 - 2020/8/28

N2 - 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.

AB - 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.

KW - Acoustic resonance fault diagnosis

KW - Condition monitoring

KW - Envelope analysis

KW - Pressure pulsation

KW - Reciprocating compressor

KW - Wavelet packet transform

UR - https://www.scopus.com/pages/publications/85091268071

UR - https://www.springer.com/gb/book/9783030577445

U2 - 10.1007/978-3-030-57745-2_44

DO - 10.1007/978-3-030-57745-2_44

M3 - Conference contribution

AN - SCOPUS:85091268071

SN - 9783030577445

VL - 166

T3 - Smart Innovation, Systems and Technologies

SP - 525

EP - 535

BT - Advances in Asset Management and Condition Monitoring, COMADEM 2019

A2 - Ball, Andrew

A2 - Gelman, Len

A2 - Rao, B.K.N.

PB - Springer, Cham

T2 - 32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference

Y2 - 3 September 2019 through 5 September 2019

ER -

Muo UE, Xu Y, Ball A , Gu F. Application of Wavelet Packet Transform and Envelope Analysis on Pressure Pulsations from a Reciprocating Compressor. In Ball A, Gelman L, Rao BKN, editors, Advances in Asset Management and Condition Monitoring, COMADEM 2019. Vol. 166. Springer, Cham. 2020. p. 525-535. (Smart Innovation, Systems and Technologies). Epub 2020 Aug 28. doi: 10.1007/978-3-030-57745-2_44

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

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