Helicopter Planet Bearing Fault Diagnosis Based on Modulation Signal Bispectrum Analysis

Baoshan Huang, Yuandong Xu, David Mba, Xiaochuan Li, Niaoqing Hu, Fengshou Gu, Andrew Ball

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Planet gear bearings are of critical components in the main gearbox of mission critical helicopters. Because of multiple excitation sources, weak cyclisation signatures and vibration transmission modulation (VTM) make it very challenging to diagnose the healthy conditions of planet bearings. This paper proposes a new diagnostic method based on modulation signal bispectrum (MSB) analysis. MSB can effectively suppress random noise by phase alignment and extract deterministic modulation effects at high frequency resolution, which allows the closely distributed and weak bearing signatures to be pull out with high accuracy. It thus can combine VTM effect with bearing signatures to enhance the weak signatures for achieving more reliable detection and diagnosis. Based on datasets from a multiple stage 1300 kW epicyclic gearbox employed in a commercial helicopter, this MSB based method is evaluated under different fault severity and operating conditions. It shows that the amplitudes coupled between fault frequency and epicycle carrier frequency can have more deterministic information regarding to bearing vibrations. Consequently, MSB coherences and magnitudes can jointly give accurate diagnostic results that are consistent with different fault severity and operating conditions, showing outstanding performance of MSB analysis.

Original languageEnglish
Title of host publicationProceedings of IncoME-V & CEPE Net-2020
Subtitle of host publicationCondition Monitoring, Plant Maintenance and Reliability
EditorsDong Zhen, Dong Wang, Tianyang Wang, Hongjun Wang, Baoshan Huang, Jyoti K. Sinha, Andrew David Ball
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Pages784-797
Number of pages14
Volume105
Edition1st
ISBN (Electronic)9783030757939
ISBN (Print)9783030757922
DOIs
Publication statusPublished - 16 May 2021
Event5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network - Zhuhai, China
Duration: 23 Oct 202025 Oct 2020
Conference number: 5
https://link.springer.com/book/10.1007/978-3-030-75793-9#about

Publication series

NameMechanisms and Machine Science
Volume105
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network
Abbreviated titleIncoME-V and CEPE Net-2020
CountryChina
CityZhuhai
Period23/10/2025/10/20
Internet address

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