Helicopter gearbox bearing fault detection using separation techniques and envelope analysis

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dc.contributor.author Zhou, L.
dc.contributor.author Duan, F.
dc.contributor.author Mba, David
dc.contributor.author Corsar, Michael
dc.contributor.author Greaves, Matthew J.
dc.contributor.author Sampath, Suresh
dc.contributor.author Elasha, Faris
dc.date.accessioned 2017-04-20T08:57:54Z
dc.date.available 2017-04-20T08:57:54Z
dc.date.issued 2017-01-19
dc.identifier.citation Zhou L, Duan F, Mba D et al., (2016) Helicopter gearbox bearing fault detection using separation techniques and envelope analysis, 2016 Prognostics and System Health Management Conference (PHM-Chengdu), 19-21 October 2016, Chengdu, China en_UK
dc.identifier.issn 2166-5656
dc.identifier.uri http://dx.doi.org/10.1109/PHM.2016.7819888
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/11787
dc.description.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. en_UK
dc.language.iso en en_UK
dc.publisher IEEE en_UK
dc.rights Attribution-Non-Commercial 3.0 Unported (CC BY-NC 3.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subject MGB en_UK
dc.subject bearing fault diagnosis en_UK
dc.subject signal separation en_UK
dc.subject Kurtogram en_UK
dc.subject envelope analysis en_UK
dc.title Helicopter gearbox bearing fault detection using separation techniques and envelope analysis en_UK
dc.type Conference paper en_UK


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