Helicopter gearbox bearing fault detection using separation techniques and envelope analysis

Fang Duan; David Mba; Michael Corsar

doi:10.1109/PHM.2016.7819888

Helicopter gearbox bearing fault detection using separation techniques and envelope analysis

Fang Duan, David Mba, Michael Corsar

Research output: Contribution to conference › Paper › peer-review

Abstract

© 2016 IEEE. 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
DOIs	https://doi.org/10.1109/PHM.2016.7819888
Publication status	Published - 19 Oct 2016
Externally published	Yes
Event	Prognostics and System Health Management Conference (PHM-Chengdu), 2016 - Duration: 19 Oct 2016 → …

Conference

Conference	Prognostics and System Health Management Conference (PHM-Chengdu), 2016
Period	19/10/16 → …

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10.1109/PHM.2016.7819888

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title = "Helicopter gearbox bearing fault detection using separation techniques and envelope analysis",

abstract = "{\textcopyright} 2016 IEEE. 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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AU - Mba, David

AU - Corsar, Michael

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N2 - © 2016 IEEE. 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 - © 2016 IEEE. 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.

U2 - 10.1109/PHM.2016.7819888

DO - 10.1109/PHM.2016.7819888

M3 - Paper

T2 - Prognostics and System Health Management Conference (PHM-Chengdu), 2016

Y2 - 19 October 2016

ER -

Helicopter gearbox bearing fault detection using separation techniques and envelope analysis

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