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 Ball

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

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 publicationProceedings of the 23rd International Conference on Automation and Computing (University of Huddersfield, 7-8 September 2017)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9780701702601
ISBN (Print)9781509050406
DOIs
Publication statusPublished - 26 Oct 2017
Event23rd International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing - University of Huddersfield, Huddersfield, United Kingdom
Duration: 7 Sep 20178 Sep 2017
Conference number: 23
https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=41042 (Link to Conference Website)

Conference

Conference23rd International Conference on Automation and Computing
Abbreviated titleICAC 2017
CountryUnited Kingdom
CityHuddersfield
Period7/09/178/09/17
OtherThe scope of the conference covers a broad spectrum of areas with multi-disciplinary interests in the fields of automation, control engineering, computing and information systems, ranging from fundamental research to real-world applications.
Internet address

Fingerprint

Bearings (structural)
Induced currents
Turbogenerators
Wind turbines
Modulation
Defects
Signal analysis
Pitting
Modulators
Fatigue of materials

Cite this

Li, L., Wang, G., Deng, W., Tang, X., Gu, F., & Ball, A. (2017). The Identification of Shaft Current Induced Defects on Rolling Bearings in Wind Turbine Generators. In Proceedings of the 23rd International Conference on Automation and Computing (University of Huddersfield, 7-8 September 2017) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/IConAC.2017.8081991
Li, Long ; Wang, Guangbin ; Deng, Wenhui ; Tang, Xiaoli ; Gu, Fengshou ; Ball, Andrew. / The Identification of Shaft Current Induced Defects on Rolling Bearings in Wind Turbine Generators. Proceedings of the 23rd International Conference on Automation and Computing (University of Huddersfield, 7-8 September 2017). Institute of Electrical and Electronics Engineers Inc., 2017.
@inproceedings{055bc36892b047859d90d1e2b046d6f7,
title = "The Identification of Shaft Current Induced Defects on Rolling Bearings in Wind Turbine Generators",
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.",
keywords = "Shaft current, Bearing fault diagnosis, Envelope spectrum, MSB",
author = "Long Li and Guangbin Wang and Wenhui Deng and Xiaoli Tang and Fengshou Gu and Andrew Ball",
year = "2017",
month = "10",
day = "26",
doi = "10.23919/IConAC.2017.8081991",
language = "English",
isbn = "9781509050406",
booktitle = "Proceedings of the 23rd International Conference on Automation and Computing (University of Huddersfield, 7-8 September 2017)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

Li, L, Wang, G, Deng, W, Tang, X, Gu, F & Ball, A 2017, The Identification of Shaft Current Induced Defects on Rolling Bearings in Wind Turbine Generators. in Proceedings of the 23rd International Conference on Automation and Computing (University of Huddersfield, 7-8 September 2017). Institute of Electrical and Electronics Engineers Inc., 23rd International Conference on Automation and Computing, Huddersfield, United Kingdom, 7/09/17. https://doi.org/10.23919/IConAC.2017.8081991

The Identification of Shaft Current Induced Defects on Rolling Bearings in Wind Turbine Generators. / Li, Long; Wang, Guangbin; Deng, Wenhui; Tang, Xiaoli; Gu, Fengshou; Ball, Andrew.

Proceedings of the 23rd International Conference on Automation and Computing (University of Huddersfield, 7-8 September 2017). Institute of Electrical and Electronics Engineers Inc., 2017.

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

TY - GEN

T1 - The Identification of Shaft Current Induced Defects on Rolling Bearings in Wind Turbine Generators

AU - Li, Long

AU - Wang, Guangbin

AU - Deng, Wenhui

AU - Tang, Xiaoli

AU - Gu, Fengshou

AU - Ball, Andrew

PY - 2017/10/26

Y1 - 2017/10/26

N2 - 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.

AB - 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.

KW - Shaft current

KW - Bearing fault diagnosis

KW - Envelope spectrum

KW - MSB

UR - http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800563

U2 - 10.23919/IConAC.2017.8081991

DO - 10.23919/IConAC.2017.8081991

M3 - Conference contribution

SN - 9781509050406

BT - Proceedings of the 23rd International Conference on Automation and Computing (University of Huddersfield, 7-8 September 2017)

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Li L, Wang G, Deng W, Tang X, Gu F, Ball A. The Identification of Shaft Current Induced Defects on Rolling Bearings in Wind Turbine Generators. In Proceedings of the 23rd International Conference on Automation and Computing (University of Huddersfield, 7-8 September 2017). Institute of Electrical and Electronics Engineers Inc. 2017 https://doi.org/10.23919/IConAC.2017.8081991