Helicopter gearbox bearing fault detection using separation techniques and envelope analysis

Linghao Zhou; Fang Duan; David Mba; Michael Corsar; Matthew Greaves; Suresh Sampath; Faris Elasha

doi:10.1109/PHM.2016.7819888

Helicopter gearbox bearing fault detection using separation techniques and envelope analysis

Linghao Zhou, Fang Duan, David Mba, Michael Corsar, Matthew Greaves, Suresh Sampath, Faris Elasha

Coventry University

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

173 Downloads (Pure)

Abstract

The main gearbox (MGB) is a crucial part of a helicopter. MGB bearings suffer intensively from stress and friction during flights hence concerns for their health condition and detecting potential defects become critical for the sake of operation safety and system reliability. In this study, bearing defects were seeded in the second epicyclic stage bearing of a commercial Class A helicopter MGB. Vibration and tachometer signals were recorded simultaneously for the purpose of fault diagnosis. The tests were carried out at different power and speed conditions for various seeded bearing defects. This paper presents a comparison of signal processing techniques employed to identify the presence of the defects masked by strong background noise generated from an operation helicopter MGB.

Original language	English
Title of host publication	Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	978-1-5090-2778-1, 978-1-5090-2777-4
ISBN (Print)	978-1-5090-2779-8
DOIs	https://doi.org/10.1109/PHM.2016.7819888
Publication status	Published - 16 Jan 2017
Event	7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 - Chengdu, Sichuan, China Duration: 19 Oct 2016 → 21 Oct 2016

Conference

Conference	7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
Country/Territory	China
City	Chengdu, Sichuan
Period	19/10/16 → 21/10/16

Keywords

Bearing fault diagnosis
Envelope analysis
Kurtogram
MGB
Signal separation

ASJC Scopus subject areas

Hardware and Architecture
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality

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10.1109/PHM.2016.7819888

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Cite this

Zhou, L., Duan, F., Mba, D., Corsar, M., Greaves, M., Sampath, S., & Elasha, F. (2017). Helicopter gearbox bearing fault detection using separation techniques and envelope analysis. In Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016 Article 7819888 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHM.2016.7819888

Helicopter gearbox bearing fault detection using separation techniques and envelope analysis. / Zhou, Linghao; Duan, Fang; Mba, David et al.
Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7819888.

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

Zhou, L, Duan, F, Mba, D, Corsar, M, Greaves, M, Sampath, S & Elasha, F 2017, Helicopter gearbox bearing fault detection using separation techniques and envelope analysis. in Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016., 7819888, Institute of Electrical and Electronics Engineers Inc., 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016, Chengdu, Sichuan, China, 19/10/16. https://doi.org/10.1109/PHM.2016.7819888

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abstract = "The main gearbox (MGB) is a crucial part of a helicopter. MGB bearings suffer intensively from stress and friction during flights hence concerns for their health condition and detecting potential defects become critical for the sake of operation safety and system reliability. In this study, bearing defects were seeded in the second epicyclic stage bearing of a commercial Class A helicopter MGB. Vibration and tachometer signals were recorded simultaneously for the purpose of fault diagnosis. The tests were carried out at different power and speed conditions for various seeded bearing defects. This paper presents a comparison of signal processing techniques employed to identify the presence of the defects masked by strong background noise generated from an operation helicopter MGB.",

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author = "Linghao Zhou and Fang Duan and David Mba and Michael Corsar and Matthew Greaves and Suresh Sampath and Faris Elasha",

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AU - Corsar, Michael

AU - Greaves, Matthew

AU - Sampath, Suresh

AU - Elasha, Faris

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N2 - The main gearbox (MGB) is a crucial part of a helicopter. MGB bearings suffer intensively from stress and friction during flights hence concerns for their health condition and detecting potential defects become critical for the sake of operation safety and system reliability. In this study, bearing defects were seeded in the second epicyclic stage bearing of a commercial Class A helicopter MGB. Vibration and tachometer signals were recorded simultaneously for the purpose of fault diagnosis. The tests were carried out at different power and speed conditions for various seeded bearing defects. This paper presents a comparison of signal processing techniques employed to identify the presence of the defects masked by strong background noise generated from an operation helicopter MGB.

AB - The main gearbox (MGB) is a crucial part of a helicopter. MGB bearings suffer intensively from stress and friction during flights hence concerns for their health condition and detecting potential defects become critical for the sake of operation safety and system reliability. In this study, bearing defects were seeded in the second epicyclic stage bearing of a commercial Class A helicopter MGB. Vibration and tachometer signals were recorded simultaneously for the purpose of fault diagnosis. The tests were carried out at different power and speed conditions for various seeded bearing defects. This paper presents a comparison of signal processing techniques employed to identify the presence of the defects masked by strong background noise generated from an operation helicopter MGB.

KW - Bearing fault diagnosis

KW - Envelope analysis

KW - Kurtogram

KW - MGB

KW - Signal separation

U2 - 10.1109/PHM.2016.7819888

DO - 10.1109/PHM.2016.7819888

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SN - 978-1-5090-2779-8

BT - Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016

Y2 - 19 October 2016 through 21 October 2016

ER -

Helicopter gearbox bearing fault detection using separation techniques and envelope analysis

Abstract

Conference

Keywords

ASJC Scopus subject areas

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