Study on order analysis for condition monitoring wind turbine gearbox

Yanhui Feng, Yingning Qiu, David Infield, Jiawei Li, Wenxian Yang

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

1 Citation (Scopus)
28 Downloads (Pure)

Abstract

A complex 3-stage gearbox design, in which one planetary
gear set at first stage and two sets of parallel gears at second
and third stage, is conventionally applied on the large wind
turbine configuration with Doubly Fed Induction Generator.
In this variable-speed wind turbine, it is hard to directly apply
conventional frequency analysis on condition monitoring of
the gearbox planetary stage. Proper signal processing and
analysis become crucial here for interpreting the conditions of
gears and bearings. In this paper, order analysis is studied for
condition monitoring the planetary stage of wind turbine
gearbox. The approach takes advantage of angular resampling
to achieve cyclo-stationary vibration signals and
lessen the effects due to speed changes. One key element in
the scheme is taking angular information to enable resampling
the time-domain signals into angular-domain signals.
A vibration signal model for gearbox planetary stage is firstly
described, and the scheme is then tested on simulated signals
to achieve fine frequency resolution. Time synchronous
averaging is applied as a pre-processing technique to enhance
the Signal to Noise Ratio (SNR) in order spectrum
Original languageEnglish
Title of host publicationProceedings of IET Renewable Power Generation conference, 2014
Number of pages4
DOIs
Publication statusPublished - 2014

Fingerprint

Condition monitoring
Wind turbines
Bearings (structural)
Asynchronous generators
Gears
Signal to noise ratio
Signal processing
Monitoring
Processing

Keywords

  • condition monitoring
  • order analysis
  • angular sampling
  • planetary gearbox
  • wind turbine

Cite this

Feng, Y., Qiu, Y., Infield, D., Li, J., & Yang, W. (2014). Study on order analysis for condition monitoring wind turbine gearbox. In Proceedings of IET Renewable Power Generation conference, 2014 https://doi.org/10.1049/cp.2014.0904
Feng, Yanhui ; Qiu, Yingning ; Infield, David ; Li, Jiawei ; Yang, Wenxian. / Study on order analysis for condition monitoring wind turbine gearbox. Proceedings of IET Renewable Power Generation conference, 2014. 2014.
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abstract = "A complex 3-stage gearbox design, in which one planetarygear set at first stage and two sets of parallel gears at secondand third stage, is conventionally applied on the large windturbine configuration with Doubly Fed Induction Generator.In this variable-speed wind turbine, it is hard to directly applyconventional frequency analysis on condition monitoring ofthe gearbox planetary stage. Proper signal processing andanalysis become crucial here for interpreting the conditions ofgears and bearings. In this paper, order analysis is studied forcondition monitoring the planetary stage of wind turbinegearbox. The approach takes advantage of angular resamplingto achieve cyclo-stationary vibration signals andlessen the effects due to speed changes. One key element inthe scheme is taking angular information to enable resamplingthe time-domain signals into angular-domain signals.A vibration signal model for gearbox planetary stage is firstlydescribed, and the scheme is then tested on simulated signalsto achieve fine frequency resolution. Time synchronousaveraging is applied as a pre-processing technique to enhancethe Signal to Noise Ratio (SNR) in order spectrum",
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author = "Yanhui Feng and Yingning Qiu and David Infield and Jiawei Li and Wenxian Yang",
note = "{\circledC} 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.",
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Feng, Y, Qiu, Y, Infield, D, Li, J & Yang, W 2014, Study on order analysis for condition monitoring wind turbine gearbox. in Proceedings of IET Renewable Power Generation conference, 2014. https://doi.org/10.1049/cp.2014.0904

Study on order analysis for condition monitoring wind turbine gearbox. / Feng, Yanhui; Qiu, Yingning; Infield, David; Li, Jiawei; Yang, Wenxian.

Proceedings of IET Renewable Power Generation conference, 2014. 2014.

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

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AU - Li, Jiawei

AU - Yang, Wenxian

N1 - © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2014

Y1 - 2014

N2 - A complex 3-stage gearbox design, in which one planetarygear set at first stage and two sets of parallel gears at secondand third stage, is conventionally applied on the large windturbine configuration with Doubly Fed Induction Generator.In this variable-speed wind turbine, it is hard to directly applyconventional frequency analysis on condition monitoring ofthe gearbox planetary stage. Proper signal processing andanalysis become crucial here for interpreting the conditions ofgears and bearings. In this paper, order analysis is studied forcondition monitoring the planetary stage of wind turbinegearbox. The approach takes advantage of angular resamplingto achieve cyclo-stationary vibration signals andlessen the effects due to speed changes. One key element inthe scheme is taking angular information to enable resamplingthe time-domain signals into angular-domain signals.A vibration signal model for gearbox planetary stage is firstlydescribed, and the scheme is then tested on simulated signalsto achieve fine frequency resolution. Time synchronousaveraging is applied as a pre-processing technique to enhancethe Signal to Noise Ratio (SNR) in order spectrum

AB - A complex 3-stage gearbox design, in which one planetarygear set at first stage and two sets of parallel gears at secondand third stage, is conventionally applied on the large windturbine configuration with Doubly Fed Induction Generator.In this variable-speed wind turbine, it is hard to directly applyconventional frequency analysis on condition monitoring ofthe gearbox planetary stage. Proper signal processing andanalysis become crucial here for interpreting the conditions ofgears and bearings. In this paper, order analysis is studied forcondition monitoring the planetary stage of wind turbinegearbox. The approach takes advantage of angular resamplingto achieve cyclo-stationary vibration signals andlessen the effects due to speed changes. One key element inthe scheme is taking angular information to enable resamplingthe time-domain signals into angular-domain signals.A vibration signal model for gearbox planetary stage is firstlydescribed, and the scheme is then tested on simulated signalsto achieve fine frequency resolution. Time synchronousaveraging is applied as a pre-processing technique to enhancethe Signal to Noise Ratio (SNR) in order spectrum

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Feng Y, Qiu Y, Infield D, Li J, Yang W. Study on order analysis for condition monitoring wind turbine gearbox. In Proceedings of IET Renewable Power Generation conference, 2014. 2014 https://doi.org/10.1049/cp.2014.0904