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基于小波分析的轉(zhuǎn)子碰摩故障特征提取
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    摘要:

    針對不同碰摩程度的轉(zhuǎn)子故障,利用小波基函數(shù)“db12”,進行6層小波分解,對故障特征比較明顯的小波頻帶,利用Morlet小波尺度圖進行時頻特征提取,給出了各頻帶內(nèi)分解信號的特點以及其頻帶能量比例。結果表明,采用兩種小波基函數(shù)和頻帶能量圖可以很好地提取不同碰摩情況下的故障特征。輕微碰摩時,碰摩引起的高低頻分量很弱;中度碰摩時,引起比較穩(wěn)定的X/2諧波系列;嚴重碰摩時,高于轉(zhuǎn)頻的諧波成分,能量均達到最大。

    Abstract:

    Mother wavelet function “db12” was adopted for rotor fault with different rub-impact degrees. The displacement signals were decomposed into 6 levels. Reassigned Morlet wavelet scalogram has been used to extract fault features for wavelet frequency bands with obvious time-frequency features. The decomposed signals in different decomposed levels together with their frequency-band energy ratios were discussed in details. The results showed that fault features could be extracted well by combining two mother wavelet functions and frequency-band energy plot in different rub-impact conditions. In the stage of slight rub-impact, high and low frequency components are all small; in the stage of moderate rub-impact, stable X/2 based harmonic components occurred and in the stage of serious rub-impact , the energy of harmonic components are greater than rotational frequency and reached the maximum. 

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王學軍,馬輝,孫偉,聞邦椿.基于小波分析的轉(zhuǎn)子碰摩故障特征提取[J].農(nóng)業(yè)機械學報,2008,39(4):147-151.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(4):147-151.

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