| 改进小波能量分析法在轴承故障诊断中的应用 |
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| 引用本文： | 刘圆,张永建,李元宝.改进小波能量分析法在轴承故障诊断中的应用[J].煤矿机械,2012,33(5):254-255. |
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| 作者姓名： | 刘圆 张永建 李元宝 |
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| 作者单位： | 山东科技大学机械电子工程学院,山东青岛,266510 |
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| 摘 要： | 滚动轴承故障诊断的关键问题之一是如何有效准确地提取故障特征信息,为了更好地刻画各频带能量,提出了改进小波包能量算法,提取分解频带的能量在时间域上的分布,更好地刻画了能量随时间变化的分布。同时引入包络分析,更好地体现信号的间断点,从而提高故障信号分析的准确度。诊断实例验证了利用改进小波包能量法进行故障诊断的有效性。
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| 关 键 词： | 小波包能量矩 特征提取 故障诊断 |
Application of Improved Wavelet-packet Energy Analysis in Fault Diagnosis of Rolling Bearing |
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| LIU Yuan
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ZHANG Yong-jian
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LI Yuan-bao.Application of Improved Wavelet-packet Energy Analysis in Fault Diagnosis of Rolling Bearing[J].Coal Mine Machinery,2012,33(5):254-255. |
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| Authors: | LIU Yuan ZHANG Yong-jian LI Yuan-bao |
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| Affiliation: | (College of Mechanical and Electronic Engineering,Shandong University of Science and Technology,Qingdao 266510,China) |
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| Abstract: | Extracting fault feature is key of bearing fault diagnosis and a feature extraction method based on wavelet packet moment is presented.The energy of band extraction decomposition on distribution characteristics of time domain and better depicting energy changes with time distribution.At the same time envelope analysis is introduced,better reflecting signal discontinuities point,so as to improve accuracy of fault signal analysis.Diagnosis example showed improved wavelet packet energy method was a validity about fault diagnosis. |
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| Keywords: | wavelet packet energy moment feature extraction fault diagnosis |
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