Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings

Lei Hu; Fengshou Gu; Jing He; Niaoqing Hu; Andrew Ball

doi:10.1007/978-3-030-57745-2_95

Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings

Lei Hu, Fengshou Gu, Jing He, Niaoqing Hu, Andrew Ball

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

Abstract

Rolling elements of bearings spin and revolve simultaneously during operation. For each revolution period, there is a spin period during which a defected rolling element passes through the load zone center and causes two largest amplitude impact transients (LAIT). LAIT segments of each rolling element are separated according to the bearing kinematics. The transient waveform in the LAIT segments is enhanced with band-pass filtering, demodulation and low-pass filtering. An enhanced signature named envelope ensemble average (EEA) is obtained by ensemble averaging of the enhanced LAIT segments for each rolling element. Validation results of the EEA signatures with simulation signals and experimental signals show that EEA signatures are very sensitive to element defects and robust to rotational speed fluctuation and rolling element slippage. Besides, the method does not need a tachometer and the computational cost is low.

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	1151-1162
Number of pages	12
Volume	166
ISBN (Electronic)	9783030577452
ISBN (Print)	9783030577445
DOIs	https://doi.org/10.1007/978-3-030-57745-2_95
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 Sep 2019 → 5 Sep 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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Cite this

Hu, L., Gu, F., He, J., Hu, N., & Ball, A. (2020). Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings. In A. Ball, L. Gelman, & B. K. N. Rao (Eds.), Advances in Asset Management and Condition Monitoring, COMADEM 2019 (Vol. 166, pp. 1151-1162). (Smart Innovation, Systems and Technologies; Vol. 166). Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_95

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title = "Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings",

abstract = "Rolling elements of bearings spin and revolve simultaneously during operation. For each revolution period, there is a spin period during which a defected rolling element passes through the load zone center and causes two largest amplitude impact transients (LAIT). LAIT segments of each rolling element are separated according to the bearing kinematics. The transient waveform in the LAIT segments is enhanced with band-pass filtering, demodulation and low-pass filtering. An enhanced signature named envelope ensemble average (EEA) is obtained by ensemble averaging of the enhanced LAIT segments for each rolling element. Validation results of the EEA signatures with simulation signals and experimental signals show that EEA signatures are very sensitive to element defects and robust to rotational speed fluctuation and rolling element slippage. Besides, the method does not need a tachometer and the computational cost is low.",

keywords = "Envelope ensemble average, Fault diagnosis, Largest amplitude impact transients, Rolling element bearings",

author = "Lei Hu and Fengshou Gu and Jing He and Niaoqing Hu and Andrew Ball",

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doi = "10.1007/978-3-030-57745-2_95",

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

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

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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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Hu, L, Gu, F, He, J, Hu, N & Ball, A 2020, Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings. 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. 1151-1162, 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_95

Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings. / Hu, Lei; Gu, Fengshou; He, Jing 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. 1151-1162 (Smart Innovation, Systems and Technologies; Vol. 166).

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

TY - GEN

T1 - Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings

AU - Hu, Lei

AU - Gu, Fengshou

AU - He, Jing

AU - Hu, Niaoqing

AU - Ball, Andrew

N1 - Conference code: 32

PY - 2020/8/28

Y1 - 2020/8/28

N2 - Rolling elements of bearings spin and revolve simultaneously during operation. For each revolution period, there is a spin period during which a defected rolling element passes through the load zone center and causes two largest amplitude impact transients (LAIT). LAIT segments of each rolling element are separated according to the bearing kinematics. The transient waveform in the LAIT segments is enhanced with band-pass filtering, demodulation and low-pass filtering. An enhanced signature named envelope ensemble average (EEA) is obtained by ensemble averaging of the enhanced LAIT segments for each rolling element. Validation results of the EEA signatures with simulation signals and experimental signals show that EEA signatures are very sensitive to element defects and robust to rotational speed fluctuation and rolling element slippage. Besides, the method does not need a tachometer and the computational cost is low.

AB - Rolling elements of bearings spin and revolve simultaneously during operation. For each revolution period, there is a spin period during which a defected rolling element passes through the load zone center and causes two largest amplitude impact transients (LAIT). LAIT segments of each rolling element are separated according to the bearing kinematics. The transient waveform in the LAIT segments is enhanced with band-pass filtering, demodulation and low-pass filtering. An enhanced signature named envelope ensemble average (EEA) is obtained by ensemble averaging of the enhanced LAIT segments for each rolling element. Validation results of the EEA signatures with simulation signals and experimental signals show that EEA signatures are very sensitive to element defects and robust to rotational speed fluctuation and rolling element slippage. Besides, the method does not need a tachometer and the computational cost is low.

KW - Envelope ensemble average

KW - Fault diagnosis

KW - Largest amplitude impact transients

KW - Rolling element bearings

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

Y2 - 3 September 2019 through 5 September 2019

ER -

Hu L, Gu F, He J, Hu N, Ball A. Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings. In Ball A, Gelman L, Rao BKN, editors, Advances in Asset Management and Condition Monitoring, COMADEM 2019. Vol. 166. Springer, Cham. 2020. p. 1151-1162. (Smart Innovation, Systems and Technologies). Epub 2020 Aug 28. doi: 10.1007/978-3-030-57745-2_95

Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings

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