| 基于第2代小波和EMMD的转子系统复合故障诊断 |
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| 引用本文： | 张超,陈建军,郭 迅.基于第2代小波和EMMD的转子系统复合故障诊断[J].振动．测试与诊断,2011,31(1):98-103. |
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| 作者姓名： | 张超 陈建军 郭 迅 |
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| 作者单位： | 1. 西安电子科技大学机电工程学院,西安,710071;内蒙古科技大学信息工程学院,包头,014010
2. 西安电子科技大学机电工程学院,西安,710071 |
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| 基金项目： | 国家高技术研究发展计划("八六三"计划)资助项目 |
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| 摘 要： | 针对转子不平衡故障和滚动轴承微弱损伤性故障的复合故障诊断问题,提出了基于第2代小波和极值域均值模式分解(extremum field mean mode decomposition,简称EMMD)的故障诊断方法,进行了复合故障的耦合特征分离和故障特征频率的提取.该方法首先应用第2代小波对原始信号进行分解与重构;然后针对分解与重构出的低频信号进行频谱分析提取低频非调制故障特征;最后针对高频共振调制信号进行基于EMMD的解调分析,以准确提取调制故障特征.通过工程实例信号的分析结果表明,该方法能够提取转子系统的复合故障特征.
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| 关 键 词： | 复合故障 第2代小波 极值域均值模式分解 耦合特征 |
| 收稿时间： | 2009/9/25 0:00:00 |
| 修稿时间： | 2009/11/4 0:00:00 |
Complex Fault Diagnosis for Rotor Systems Using the Second Generation Wavelet and Extremum Field Mean Mode Decomposition |
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| Zhang Chao,Chen Jianjun,Guo Xun.Complex Fault Diagnosis for Rotor Systems Using the Second Generation Wavelet and Extremum Field Mean Mode Decomposition[J].Journal of Vibration,Measurement & Diagnosis,2011,31(1):98-103. |
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| Authors: | Zhang Chao Chen Jianjun Guo Xun |
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| Affiliation: | Zhang Chao1,2,Chen Jianjun1,Guo Xun1(1School of Electronic-Mechanical Engineering,Xidian University Xi'an,710071,China)(2School of Information Engineering,University of Science and Technology of the Inner Mongol Baotou,014010,China) |
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| Abstract: | This paper presents a method to diagnose the complex fault of the rotor imbalance and slight damage of the roller bearing.The second generation wavelet and the extremism field mean mode decomposition(EMMD) were employed to separate the coupling features of the complex fault and to extract the frequency of fault signals.Firstly,the original signals were decomposed and reconstructed by using the second generation wavelet.Then,the non-modulation low-frequency fault feature was extracted by applying FFT to the ... |
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| Keywords: | complex fault second generation wavelet extremum field mean mode decomposition coupling feature |
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