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

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

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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.

Original languageEnglish
Title of host publicationProceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
PublisherInstitute 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
Publication statusPublished - 16 Jan 2017
Event7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 - Chengdu, Sichuan, China
Duration: 19 Oct 201621 Oct 2016

Conference

Conference7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
CountryChina
CityChengdu, Sichuan
Period19/10/1621/10/16

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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  • 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 [7819888] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHM.2016.7819888