现代制造工程
現代製造工程
현대제조공정
MODERN MANUFACTURING ENGINEERING
2014年
8期
131-134
,共4页
Gabor变换%故障诊断%盲信号分离
Gabor變換%故障診斷%盲信號分離
Gabor변환%고장진단%맹신호분리
Gabor transform%fault diagnosis%blind signals separation
针对轴承故障信号往往淹没在强烈的系统噪声中导致故障特征难以提取的情况，提出了一种基于Gabor变换降噪和盲信号分离的故障诊断方法。该方法利用Gabor变换对时频信号的优良分辨率和盲信号分离技术的优势，先对非平稳信号进行降噪，再通过盲信号分离技术对降噪后的信号进行分离，提取出故障频率。实验结果表明，该方法能有效地诊断出轴承故障特征。
針對軸承故障信號往往淹沒在彊烈的繫統譟聲中導緻故障特徵難以提取的情況，提齣瞭一種基于Gabor變換降譟和盲信號分離的故障診斷方法。該方法利用Gabor變換對時頻信號的優良分辨率和盲信號分離技術的優勢，先對非平穩信號進行降譟，再通過盲信號分離技術對降譟後的信號進行分離，提取齣故障頻率。實驗結果錶明，該方法能有效地診斷齣軸承故障特徵。
침대축승고장신호왕왕엄몰재강렬적계통조성중도치고장특정난이제취적정황，제출료일충기우Gabor변환강조화맹신호분리적고장진단방법。해방법이용Gabor변환대시빈신호적우량분변솔화맹신호분리기술적우세，선대비평은신호진행강조，재통과맹신호분리기술대강조후적신호진행분리，제취출고장빈솔。실험결과표명，해방법능유효지진단출축승고장특정。
Early fault signals of a rolling bearing submerged in system noises is weak and difficult to identify .Fault diagnosis of rolling bearings based on Gabor transform denoising and Blind Signals Separation ( BSS) is proposed .Using the Gabor transform with good time-frequency resolution and the advantages of BSS for rolling bearing fault diagnosis ,the composite noise of system signals was eliminated with the Gabor transform algorithm ,the denoised signals were separated with the BSS algorithm ,then the fault signal characters were extracted .The experimental results showed that this method is successful in separating fault patterns for rolling bearing .
