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.
|Title of host publication||ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing|
|Subtitle of host publication||Addressing Global Challenges through Automation and Computing|
|ISBN (Electronic)||9780701702618, 978-0-7017-0260-1|
|Publication status||Published - 26 Oct 2017|
|Event||23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom|
Duration: 7 Sep 2017 → 8 Sep 2017
|Name||ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing|
|Conference||23rd IEEE International Conference on Automation and Computing, ICAC 2017|
|Period||7/09/17 → 8/09/17|
Bibliographical noteFunding: Financial support from National Natural Science Foundation of China (51575178, 11572125) are appreciated.
- Bearing fault diagnosis
- Envelope spectrum
- Shaft current