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Sensors 2017, 17(5), 1149; doi:10.3390/s17051149

Wind Turbine Diagnosis under Variable Speed Conditions Using a Single Sensor Based on the Synchrosqueezing Transform Method

School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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Academic Editor: Vittorio M. N. Passaro
Received: 21 February 2017 / Revised: 28 April 2017 / Accepted: 28 April 2017 / Published: 18 May 2017
(This article belongs to the Section Physical Sensors)
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Abstract

The gearbox is one of the key components in wind turbines. Gearbox fault signals are usually nonstationary and highly contaminated with noise. The presence of amplitude-modulated and frequency-modulated (AM-FM) characteristics compound the difficulty of precise fault diagnosis of wind turbines, therefore, it is crucial to develop an effective fault diagnosis method for such equipment. This paper presents an improved diagnosis method for wind turbines via the combination of synchrosqueezing transform and local mean decomposition. Compared to the conventional time-frequency analysis techniques, the improved method which is performed in non-real-time can effectively reduce the noise pollution of the signals and preserve the signal characteristics, and hence is suitable for the analysis of nonstationary signals with high noise. This method is further validated by simulated signals and practical vibration data measured from a 1.5 MW wind turbine. The results confirm that the proposed method can simultaneously control the noise and increase the accuracy of time-frequency representation. View Full-Text
Keywords: wind turbine; vibration signal under variable speed condition; synchrosqueezing transform; local mean decomposition (LMD) wind turbine; vibration signal under variable speed condition; synchrosqueezing transform; local mean decomposition (LMD)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Guo, Y.; Chen, X.; Wang, S.; Sun, R.; Zhao, Z. Wind Turbine Diagnosis under Variable Speed Conditions Using a Single Sensor Based on the Synchrosqueezing Transform Method. Sensors 2017, 17, 1149.

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