内蒙古电力技术2024，Vol.42Issue(3)：13-19,7.DOI:10.19929/j.cnki.nmgdljs.2024.0035
基于时频域特征参数的风电机组滚动轴承故障诊断方法及应用
Diagnostic Method of Wind Turbine Rolling Bearing Failure Based on Time-Frequency Domain Characteristic Parameters and Its Application
摘要
Abstract
Aiming at the characteristics of wind turbine rolling bearings,such as harsh working environment,variable working conditions and complex vibration signal components,the author applies 33 time and frequency domain characteristic parameters and their properties to the rolling bearing condition monitoring and fault diagnosis of wind turbine,and deconstructs the rolling bearing vibration fault signal by using Singular Value Decomposition(SVD)to remove noise and other interfering components.The noise and other interference components are removed by SVD,and the signal after noise reduction and reconstruction undergoes the Hilbert-Yellow transformation based on Empirical Mode Decomposition(EMD)to realize the resonance demodulation of the faulty impact signal,and the low-frequency fault modulation signal is screened out,and finally,the combination of the characteristic frequency of the faults of each component of the rolling bearing,the timefrequency analysis of the vibration signal and the diagnostic results of the time-frequency characteristic parameters are combined.Finally,combined with the fault characteristic frequency of rolling bearing components,vibration signal time-frequency analysis and time-frequency characteristic parameter diagnosis results to realize the condition monitoring and fault identification of rolling bearings.And the vibration test signal verification analysis verifies the effectiveness of the method to extract the rolling bearing fault characteristics of wind turbine.关键词
风电机组/时域特征参数/频域特征参数/滚动轴承/振动监测/故障诊断/特征提取Key words
wind turbine/time domain characteristic parameters/frequency domain characteristic parameters/rolling bearing/vibration monitoring/fault diagnosis/feature extraction分类
信息技术与安全科学引用本文复制引用
张利慧,李殊瑶,李晓波,俎海东,云杰,魏超..基于时频域特征参数的风电机组滚动轴承故障诊断方法及应用[J].内蒙古电力技术,2024,42(3):13-19,7.基金项目
内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司青年科技人员支持计划项目"风力发电机组滚动轴承振动特征分析与故障特征提取方法优化"(2021-QK-01) （集团）
