电测与仪表
電測與儀錶
전측여의표
ELECTRICAL MEASUREMENT & INSTRUMENTATION
2015年
16期
25-31
,共7页
王海云%董昱廷%史亚娟%唐新安
王海雲%董昱廷%史亞娟%唐新安
왕해운%동욱정%사아연%당신안
在线监测%振动信号%双谱分析%小波包域双谱
在線鑑測%振動信號%雙譜分析%小波包域雙譜
재선감측%진동신호%쌍보분석%소파포역쌍보
online monitoring%vibration signal%bi-spectrum analysis%wavelet packet domain bi-spectrum
文章主要基于小波域双谱的方法对风力机振动信号监测技术进行研究,以风电场多台1.5兆瓦直驱机型的大量轴承振动信号为基础,运用了一种小波包域双谱的方法对振动信号分析,并与传统双谱进行对比,实验结果表明:小波包域双谱优于双谱分析,能够准确的判断轴承正常和故障运行情况,该方法不但有效抑制噪声和其他高频成分的干扰,而且具有双重消噪的效果,有效地避免了小波分析和传统双谱分析的缺点,为在线监测异常状况预警提供了很好的依据。
文章主要基于小波域雙譜的方法對風力機振動信號鑑測技術進行研究,以風電場多檯1.5兆瓦直驅機型的大量軸承振動信號為基礎,運用瞭一種小波包域雙譜的方法對振動信號分析,併與傳統雙譜進行對比,實驗結果錶明:小波包域雙譜優于雙譜分析,能夠準確的判斷軸承正常和故障運行情況,該方法不但有效抑製譟聲和其他高頻成分的榦擾,而且具有雙重消譟的效果,有效地避免瞭小波分析和傳統雙譜分析的缺點,為在線鑑測異常狀況預警提供瞭很好的依據。
문장주요기우소파역쌍보적방법대풍력궤진동신호감측기술진행연구,이풍전장다태1.5조와직구궤형적대량축승진동신호위기출,운용료일충소파포역쌍보적방법대진동신호분석,병여전통쌍보진행대비,실험결과표명:소파포역쌍보우우쌍보분석,능구준학적판단축승정상화고장운행정황,해방법불단유효억제조성화기타고빈성분적간우,이차구유쌍중소조적효과,유효지피면료소파분석화전통쌍보분석적결점,위재선감측이상상황예경제공료흔호적의거。
This paper mainly studies the wind turbine vibration signal monitoring technology based onthe method of-waveletpacket domain bi-spectrum.A large number of bearing vibration signal from 1.5 MW direct-drive models in wind farms were extracted, andanalyzed by using wavelet packet domain bi-spectrum, and compared with the tradi-tional bi-spectrum method.Experimental results show that wavelet packet domain bi-spectrum was significantly better than the traditional bi-spectrum, which can accuratelyjudgethe bearing normal andfault operation conditions.This methodnotonly effectively suppressesnoise interferenceand other highfrequencycomponents,but also has double de-nois-ingeffect,whichcan effectively avoid the disadvantages of the wavelet analysis and traditional bi-spectrum analysis.It provides a good basis for the online monitoring reflection of further information and early warning of abnormal condi-tions.