[1]谷晓娇,刘天顺,李时雨.变风速条件下风力机轴承故障特征提取[J].机械与电子,2021,(09):8-11.
 GU Xiaojiao,LIU Tianshun,LI Shiyu.Fault Feature Extraction for Bearing of Wind Turbine Under Varying Wind Speed Condition[J].Machinery & Electronics,2021,(09):8-11.
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变风速条件下风力机轴承故障特征提取()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年09期
页码:
8-11
栏目:
设计与研究
出版日期:
2021-09-24

文章信息/Info

Title:
Fault Feature Extraction for Bearing of Wind Turbine Under Varying Wind Speed Condition
文章编号:
1001-2257 ( 2021 ) 09-0008-04
作者:
谷晓娇刘天顺李时雨
沈阳理工大学,辽宁 沈阳 110159
Author(s):
GU Xiaojiao LIU Tianshun LI Shiyu
( Shenyang Ligong University , Shenyang 110159 , China )
关键词:
故障特征故障诊断状态检测风力发电机
Keywords:
fault feature fault diagnosis condition inspection wind turbines
分类号:
TH17
文献标志码:
A
摘要:
针对风速变化条件下风力发电机轴承故障特征的检测问题,提出了一种基于灰狼优化( GWO )和双稳态杜芬振荡器的随机共振( SR )的故障特征提取方法.首先,根据风速估计故障特征信号的频率,通过合适的采样频率采集风力发电机的振动信号并对采集的信号做归一化处理.随后,根据风速尺度引入变换系数对频率 时间尺度进行变换.此外,利用灰狼算法方法将杜芬振子的阻尼比和系统参数调整到最优值.最后,通过杜芬系统和尺度恢复获得可识别信号.结果表明,所提出的方法能提取原始信号中的故障特征信号.
Abstract:
A novel fault feature extraction method aimed at the problem of detecting wind turbine bearing fault feature in the condition of varying wind speed is proposed based on the grey wolf optimizer( GWO ) and the stochastic resonance ( SR )? of the bistableduffing oscillator.Firstly , the frequency domain of the fault feature signal is estimated according to the wind speed and the vibration signal of the wind turbine is collected by the appropriate sampling frequency.The collected signals are normalized so that the signal strength is in the proper range of processing.Following this , according to the wind speed scale , transform coefficient is introduced to transform frequency-time scale.Furthermore , the damping ratio of Duffing oscillator and system parameters are adjusted to the optimal value by GWO method. Finally , the recognizable signal is obtained by the Duffing system and scale recovery is done for the recognizable signal.The test result shows that the fault feature signal in the original signal is extracted by the proposed method.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2021-05-11
基金项目:辽宁省教育厅科学研究经费项目( LG202031 );博士科研启动经费( 1010147000818 )
作者简介:谷晓娇 ( 1989- ),女,辽宁沈阳人,博士研究生,讲师,主要从事设备故障诊断与运行状态监测领域的研究.
更新日期/Last Update: 2021-09-28