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

王晓龙; 金韩微; 张博文; 石海超; 杨秀彬; 何玉灵

doi:10.19805/j.cnki.jcspe.2025.230680

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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

数字化与智能化 | 更新时间：2026-02-05

- 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
- Damage Identification of Wind Turbine Yaw Bearing Based on Enhanced Dual Tree Complex Wavelet Packet Transform
- 动力工程学报 2025年45卷第1期页码：115-123
- 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：
  
  [ "王晓龙(1989—),男,黑龙江大庆人,副教授,硕导,博士,研究方向为风电机组状态监测及损伤识别" ]
  [ "何玉灵(通信作者),男,教授,博导,E-mail:heyuling1@163.com" ]
- 基金信息：
  
  国家自然科学基金资助项目(52005180);河北省自然科学基金资助项目(E2022502003);河北省高等学校科学技术研究资助项目(QN2022190);中央高校基本科研业务费专项资金资助项目(2023MS127)
- DOI：10.19805/j.cnki.jcspe.2025.230680
  中图分类号： TM315
- 网络首发：2025-01-15，
  
  纸质出版：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

胡姚刚, 刘怀盛, 时萍萍, 等. 风电机组偏航系统故障诊断与寿命预测综述[J]. 中国电机工程学报, 2022, 42(13): 4871-4883. HU Yaogang, LIU Huaisheng, SHI Pingping, et al. Overview of fault diagnosis and life prediction for wind turbine yaw system[J]. Proceedings of the CSEE, 2022, 42(13): 4871-4883.

唐贵基, 徐振丽. 基于SSWPT的转子油膜失稳故障分析[J]. 动力工程学报, 2021, 41(5): 387-393. TANG Guiji, XU Zhenli. Fault analysis of rotor oil film instability based on synchrosqueezed wave packet transform[J]. Journal of Chinese Society of Power Engineering, 2021, 41(5): 387-393.

COIFMAN R R, WICKERHAUSER M V. Entropy-based algorithms for best basis selection[J]. IEEE Transactions on Information Theory, 1992, 38(2): 713-718.

BAYRAM L, SELESNICK I W. On the dual-tree complex wavelet packet and M -band transforms[J ] . IEEE Transactions on Signal Processing, 2008, 56(6): 2298-2310.

唐贵基, 薛贵, 王晓龙. OVME结合SMHD的风电机组变桨轴承损伤识别[J]. 动力工程学报, 2023, 43(8): 1039-1046. TANG Guiji, XUE Gui, WANG Xiaolong. Damage identification of wind turbine pitch bearing based on OVME and SMHD[J]. Journal of Chinese Society of Power Engineering, 2023, 43(8): 1039-1046.

刘文朋, 杨绍普, 李强, 等. 一种增强的谱幅值调制方法及其在复杂干扰下滚动轴承故障诊断中的应用[J]. 振动工程学报, 2021, 34(5): 1064-1075. LIU Wenpeng, YANG Shaopu, LI Qiang, et al. An enhanced spectral amplitude modulation method and its application to rolling element bearings fault diagnosis under complex interference[J]. Journal of Vibration Engineering, 2021, 34(5): 1064-1075.

WANG Lei, LIU Zhiwen, CAO Hongrui, et al. Subband averaging kurtogram with dual-tree complex wavelet packet transform for rotating machinery fault diagnosis[J]. Mechanical Systems and Signal Processing, 2020, 142: 106755.

陈旭阳, 韩振南, 宁少慧. 自适应改进双树复小波变换的齿轮箱故障诊断[J]. 振动、测试与诊断, 2019, 39(5): 1016-1022, 1133-1134. CHEN Xuyang, HAN Zhennan, NING Shaohui. Gearbox fault diagnosis based on adaptive modified dual-tree complex wavelet transform[J]. Journal of Vibration, Measurement & Diagnosis, 2019, 39(5): 1016-1022, 1133-1134.

MOSHREFZADEH A, FASANA A, ANTONI J. The spectral amplitude modulation: a nonlinear filtering process for diagnosis of rolling element bearings[J]. Mechanical Systems and Signal Processing, 2019, 132: 253-276.

ROSTAGHI M, AZAMI H. Dispersion entropy: a measure for time-series analysis[J]. IEEE Signal Processing Letters, 2016, 23(5): 610-614.

WANG Xiaolong, TANG Guiji, WANG Tai, et al. Lkurtogram guided adaptive empirical wavelet transform and purified instantaneous energy operation for fault diagnosis of wind turbine bearing[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 3506619.

李显泽, 龙海洋, 郑直, 等. 基于SGMD线性峭度和log-SAM的滚动轴承故障诊断方法[J]. 噪声与振动控制, 2020, 40(6): 121-127. LI Xianze, LONG Haiyang, ZHENG Zhi, et al. Fault diagnosis method of rolling bearings based on SGMD, L-kurtosis and log-SAM[J]. Noise and Vibration Control, 2020, 40(6): 121-127.

DYBAA J. Diagnosing of rolling-element bearings using amplitude level-based decomposition of machine vibration signal[J]. Measurement, 2018, 126: 143-155.

朱良, 孙艺哲, 谢波, 等. 基于双树复小波包变换的钢丝绳断丝损伤信号特征信息提取研究[J]. 仪表技术与传感器, 2023(5): 90-96. ZHU Liang, SUN Yizhe, XIE Bo, et al. Research on feature information extraction of broken wire damage signal of steel wire ropes based on dual tree complex wavelet packet transform[J]. Instrument Technique and Sensor, 2023(5): 90-96.

闫云雪, 许传诺, 程学珍, 等. 基于改进快速峭度图的轴承故障诊断方法研究[J]. 振动与冲击, 2023, 42(15): 118-128. YAN Yunxue, XU Chuannuo, CHENG Xuezhen, et al. Bearing fault diagnosis method based on improved fast kurtosis graph[J]. Journal of Vibration and Shock, 2023, 42(15): 118-128.

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