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《Bearing》 2005-11
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Selection and Analysis on Eigenvector in Detection of Abnormal Sound of Bearings

ZHAO Lian-chun~1,ZHANG Gui-cai~2(1.Shanghai Feisai Bearing Co.,Ltd.,Shanghai 201100,China;2.Vibration-Impact-Noise Laboratory,Shanghai Jiaotong University,Shanghai 200030,China)  
Adopting the numeric simulation and the numeric detection technique,the analysis and discussion is made for the eigenvector selection in the measurement of abnormal sound of bearings.The results show that,of the eigenvectors,such as average amplitude,virtual value,peak value,crest factor,kurtosis coefficient,pulse number over threshold,virtual pulse(value) over threshold,which are presently used to detect abnormal sounds of bearings,the combination of the crest factor and pulse number over threshold can make the most reliable and effective detections for the abnormal sounds of bearings.
【CateGory Index】: TH133.33
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