基于形态学滤波和EEMD方法的风力发电系统滚动轴承故障诊断

A novel method for fault diagnosis for rolling bearing of wind turbine based on combining morphological filter and ensemble empirical mode decomposition（EEMD）is presented.Firstly,de-noising processing of the practical bearing fault signal is carried out by designing open-closing and close-opening co...

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Published inJixie Chuandong Vol. 38; pp. 116 - 120
Main Authors 宗永涛, 沈艳霞, 纪志成, 吴定会
Format Journal Article
LanguageChinese
Published Editorial Office of Journal of Mechanical Transmission 01.01.2014
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ISSN1004-2539

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Abstract A novel method for fault diagnosis for rolling bearing of wind turbine based on combining morphological filter and ensemble empirical mode decomposition（EEMD）is presented.Firstly,de-noising processing of the practical bearing fault signal is carried out by designing open-closing and close-opening combined morphological filter,and then the de-noised signal is decomposed into several intrinsic mode functions（IMFs）via EEMD adaptively.The pseudo-components in EEMD are removed by using the correlation coefficient method.Finally,a more accurate Hilbert-Huang spectrum of IMFs is obtained,and the characteristic frequencies are extracted,then the fault is diagnosed.Experiment results show that the proposed method is effective for extracting fault feature.
AbstractList A novel method for fault diagnosis for rolling bearing of wind turbine based on combining morphological filter and ensemble empirical mode decomposition（EEMD）is presented.Firstly,de-noising processing of the practical bearing fault signal is carried out by designing open-closing and close-opening combined morphological filter,and then the de-noised signal is decomposed into several intrinsic mode functions（IMFs）via EEMD adaptively.The pseudo-components in EEMD are removed by using the correlation coefficient method.Finally,a more accurate Hilbert-Huang spectrum of IMFs is obtained,and the characteristic frequencies are extracted,then the fault is diagnosed.Experiment results show that the proposed method is effective for extracting fault feature.
Author 吴定会
沈艳霞
纪志成
宗永涛
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Title 基于形态学滤波和EEMD方法的风力发电系统滚动轴承故障诊断
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