基于迭代的集总经验模式分解算法的齿轮箱故障特征提取
Aimed at the drawback of blindly adding white noise occurring in the ensemble empirical mode decomposition（EEMD） when used to solver realistic problems,the iterative ensemble empirical mode decomposition（IEEMD） method is proposed.To begin with,the IEEMD method is introduced.Then,the EEMD method and...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2011-01-01
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| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2011.12.008 |
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| Summary: | Aimed at the drawback of blindly adding white noise occurring in the ensemble empirical mode decomposition（EEMD） when used to solver realistic problems,the iterative ensemble empirical mode decomposition（IEEMD） method is proposed.To begin with,the IEEMD method is introduced.Then,the EEMD method and the IEEMD method are used to analyze the signals from the realistic gearbox with a broken-tooth fault.As a result,the comparisons with the EEMD method show that the IEEMD method could produce HHT spectrum with higher time-frequency resolution and extract more and useful information from the signals.Moreover,it indicates that the IEEMD method greatly alleviates the drawback of the EEMD method and is suitable as a fault feature extraction method for gearboxes. |
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| ISSN: | 1004-2539 |