Tacholess order-tracking approach for wind turbine gearbox fault detection

doi:10.1007/s11465-017-0452-z

Frontiers of Mechanical Engineering

2017, Vol. 12

Issue (3): 427-439 https://doi.org/10.1007/s11465-017-0452-z

本期目录

Tacholess order-tracking approach for wind turbine gearbox fault detection

Yi WANG^1,², Yong XIE², Guanghua XU^2,³(

), Sicong ZHANG², Chenggang HOU²

¹. School of Mechanical Engineering, Chongqing University, Chongqing 400044, China
². School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
³. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China

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Abstract：

Monitoring of wind turbines under variable-speed operating conditions has become an important issue in recent years. The gearbox of a wind turbine is the most important transmission unit; it generally exhibits complex vibration signatures due to random variations in operating conditions. Spectral analysis is one of the main approaches in vibration signal processing. However, spectral analysis is based on a stationary assumption and thus inapplicable to the fault diagnosis of wind turbines under variable-speed operating conditions. This constraint limits the application of spectral analysis to wind turbine diagnosis in industrial applications. Although order-tracking methods have been proposed for wind turbine fault detection in recent years, current methods are only applicable to cases in which the instantaneous shaft phase is available. For wind turbines with limited structural spaces, collecting phase signals with tachometers or encoders is difficult. In this study, a tacholess order-tracking method for wind turbines is proposed to overcome the limitations of traditional techniques. The proposed method extracts the instantaneous phase from the vibration signal, resamples the signal at equiangular increments, and calculates the order spectrum for wind turbine fault identification. The effectiveness of the proposed method is experimentally validated with the vibration signals of wind turbines.

Key words： wind turbine variable-speed operating conditions Vold-Kalman filtering tacholess order tracking

收稿日期: 2016-10-19 出版日期: 2017-08-04

Corresponding Author(s): Guanghua XU

引用本文:

. [J]. Frontiers of Mechanical Engineering, 2017, 12(3): 427-439.
Yi WANG, Yong XIE, Guanghua XU, Sicong ZHANG, Chenggang HOU. Tacholess order-tracking approach for wind turbine gearbox fault detection. Front. Mech. Eng., 2017, 12(3): 427-439.

链接本文:

https://academic.hep.com.cn/fme/CN/10.1007/s11465-017-0452-z
https://academic.hep.com.cn/fme/CN/Y2017/V12/I3/427

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