The identification of shaft current induced defects on rolling bearings in wind turbine generators

Long Li, Guangbin Wang, Wenhui Deng, Xiaoli Tang, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Rolling bearings are an important part of wind turbine systems. Shaft current induced damages are one of the main causes for bearing failures, which lead to considerable operation loss of wind turbine plants. In this paper, the characteristics of shaft current damages and their induced vibration responses are studied analytically. Then it suggests to use an emerging Modulation Signal Bispectrum (MSB) to detect and diagnose the incipient defects as MSB can suppress various noise and provide a sparse result that integrates particularly the fault modulator and the structural resonance carrier to highlight the fault effect. Finally, the detection and diagnosis results based on both simulated signals and experimental signals show the outstanding performance of MSB analysis in detecting common bearing faults. Especially, it can achieve a straightforward differentiation between the fatigue pitting defects and shaft current damages, whereas conventional envelope analysis cannot provide a separation between these two types.

Original languageEnglish
Title of host publicationICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
Subtitle of host publicationAddressing Global Challenges through Automation and Computing
EditorsJie Zhang
PublisherIEEE
ISBN (Electronic)9780701702618, 978-0-7017-0260-1
ISBN (Print)978-1-5090-5040-6
DOIs
Publication statusPublished - 26 Oct 2017
Event23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom
Duration: 7 Sep 20178 Sep 2017

Publication series

NameICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing

Conference

Conference23rd IEEE International Conference on Automation and Computing, ICAC 2017
CountryUnited Kingdom
CityHuddersfield
Period7/09/178/09/17

Bibliographical note

Funding: Financial support from National Natural Science Foundation of China (51575178, 11572125) are appreciated.

Keywords

  • Bearing fault diagnosis
  • Envelope spectrum
  • MSB
  • Shaft current

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