Damage Identification of Wind Turbine Yaw Bearing Based on Enhanced Dual Tree Complex Wavelet Packet Transform

WANG Xiaolong; JIN Hanwei; ZHANG Bowen; SHI Haichao; YANG Xiubin; HE Yuling

doi:10.19805/j.cnki.jcspe.2025.230680

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Damage Identification of Wind Turbine Yaw Bearing Based on Enhanced Dual Tree Complex Wavelet Packet Transform

更新时间：2026-02-05

- Damage Identification of Wind Turbine Yaw Bearing Based on Enhanced Dual Tree Complex Wavelet Packet Transform
- Chinese Journal of Power Engineering Vol. 45, Issue 1, Pages: 115-123(2025)
- 作者机构：
  
  1. 华北电力大学机械工程系,河北,保定,071000
  2. 华北电力大学河北省电力机械装备健康维护与失效预防重点实验室,河北,保定,071000
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.230680
  CLC： TM315
- Online First：15 January 2025，
  
  Published：2025
- 稿件说明：
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王晓龙,金韩微,张博文,石海超,杨秀彬,何玉灵. 基于强化双树复小波包变换的风电机组偏航轴承损伤识别动力工程学报, 2025, 45(1): 115-123 https://doi.

org/10.19805/j.cnki.jcspe.2025.230680
王晓龙,金韩微,张博文,石海超,杨秀彬,何玉灵. 基于强化双树复小波包变换的风电机组偏航轴承损伤识别动力工程学报, 2025, 45(1): 115-123 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.230680.

org/10.19805/j.cnki.jcspe.2025.230680 DOI：

摘要

针对风电机组偏航轴承损伤识别问题

提出了基于强化双树复小波包变换的损伤识别方法。首先

通过双树复小波包变换与线性峭度结合对不同分解层数下的分量计算平均线性峭度值

确定最优分解层数;其次

对最优分解所得小波系数及尺度系数进行幅值调制

进而增强不同信号成分的能量;然后

采用散布熵指标确定各分量最佳调制系数并通过双树复小波包逆变换得到修正信号;最后

对修正信号作归一化平方包络谱分析提取故障特征频率。结果表明:所提方法能够实现复杂工况下偏航轴承损伤类型的准确识别

具有一定工程参考价值。

Abstract

Aiming at the problem of yaw bearing wind turbine damage identification

a damage identification method based on enhanced dual tree complex wavelet packet transform was proposed. Firstly

to determine the number of optimal decomposition layers

components average L-kurtosis values of different decomposition layers were calculated by combining dual tree complex wavelet packet transform and L-kurtosis. Secondly

wavelet coefficient and scale coefficient obtained by the optimal decomposition were modulated to enhance the energy of different signal components. Thirdly

the optimum modulation coefficients of each component were determined by dispersion entropy index

and the modified signal was obtained by inversion dual tree complex wavelet packet. Finally

the normalized square envelope spectrum of modified signal was used to extract the damage characteristic frequency. Results show that the proposed method can accurately identify the damage type of yaw bearing under complex working conditions

and has certain engineering reference value.

关键词

Keywords

references

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