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

doi:10.23919/IConAC.2017.8081991

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

Mechanical, Biomedical & Design Engineering

Research output: Chapter in Book/Published conference output › Conference publication

2 Citations (Scopus)

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 language	English
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
Editors	Jie Zhang
Publisher	IEEE
ISBN (Electronic)	9780701702618, 978-0-7017-0260-1
ISBN (Print)	978-1-5090-5040-6
DOIs	https://doi.org/10.23919/IConAC.2017.8081991
Publication status	Published - 26 Oct 2017
Event	23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom Duration: 7 Sept 2017 → 8 Sept 2017

Publication series

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

Conference

Conference	23rd IEEE International Conference on Automation and Computing, ICAC 2017
Country/Territory	United Kingdom
City	Huddersfield
Period	7/09/17 → 8/09/17

Bibliographical note

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

Funding

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

Keywords

Bearing fault diagnosis
Envelope spectrum
MSB
Shaft current

Access to Document

10.23919/IConAC.2017.8081991

http://eprints.hud.ac.uk/id/eprint/33632/

Cite this

Li, L., Wang, G., Deng, W., Tang, X., Gu, F., & Ball, A. D. (2017). The identification of shaft current induced defects on rolling bearings in wind turbine generators. In J. Zhang (Ed.), ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing Article 8081991 (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing). IEEE. https://doi.org/10.23919/IConAC.2017.8081991

Li, Long ; Wang, Guangbin ; Deng, Wenhui et al. / The identification of shaft current induced defects on rolling bearings in wind turbine generators. ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. editor / Jie Zhang. IEEE, 2017. (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing).

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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 = "Bearing fault diagnosis, Envelope spectrum, MSB, Shaft current",

author = "Long Li and Guangbin Wang and Wenhui Deng and Xiaoli Tang and Fengshou Gu and Ball, {Andrew D.}",

note = "Funding: Financial support from National Natural Science Foundation of China (51575178, 11572125) are appreciated. ; 23rd IEEE International Conference on Automation and Computing, ICAC 2017 ; Conference date: 07-09-2017 Through 08-09-2017",

year = "2017",

month = oct,

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doi = "10.23919/IConAC.2017.8081991",

language = "English",

isbn = "978-1-5090-5040-6",

series = "ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing",

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Li, L, Wang, G, Deng, W, Tang, X, Gu, F & Ball, AD 2017, The identification of shaft current induced defects on rolling bearings in wind turbine generators. in J Zhang (ed.), ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing., 8081991, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing, IEEE, 23rd IEEE International Conference on Automation and Computing, ICAC 2017, 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 et al.
ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. ed. / Jie Zhang. IEEE, 2017. 8081991 (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing).

Research output: Chapter in Book/Published conference output › Conference publication

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 D.

N1 - Funding: Financial support from National Natural Science Foundation of China (51575178, 11572125) are appreciated.

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 - Bearing fault diagnosis

KW - Envelope spectrum

KW - MSB

KW - Shaft current

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DO - 10.23919/IConAC.2017.8081991

M3 - Conference publication

AN - SCOPUS:85040007453

SN - 978-1-5090-5040-6

T3 - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing

BT - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing

A2 - Zhang, Jie

PB - IEEE

T2 - 23rd IEEE International Conference on Automation and Computing, ICAC 2017

Y2 - 7 September 2017 through 8 September 2017

ER -

Li L, Wang G, Deng W, Tang X, Gu F, Ball AD. The identification of shaft current induced defects on rolling bearings in wind turbine generators. In Zhang J, editor, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. IEEE. 2017. 8081991. (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing). doi: 10.23919/IConAC.2017.8081991

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

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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Cite this