| 基于小波变换的故障诊断信号非平稳性分析 |
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| 引用本文： | 李军,俞建定,徐铁峰.基于小波变换的故障诊断信号非平稳性分析[J].系统工程与电子技术,2006,28(7):1109-1111. |
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| 作者姓名： | 李军 俞建定 徐铁峰 |
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| 作者单位： | 宁波大学信息工程学院,浙江,宁波,315211 |
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| 摘 要： | 从工程角度,解释小波变换的实际含义,并将其与传统的傅里叶变换分析方法作比较,通过比较两种基函数的时频窗,显示小波变换在时域和频域都具有局部化特性,并且运用可调的柔性窗可对高频、低频信号分别采取不同的尺度进行分析,特别适合于分析奇异性强的机械故障诊断信号。以旋转机械轴振动信号为仿真分析对象,以Daubieches 5阶小波作为基小波,介绍了小波变换在故障诊断的信号非平稳性分析中的应用,并给出了奇异点检测和瞬态过程检测的仿真示例,体现了小波变换在故障诊断领域对非平稳信号的时域局部细节的刻划能力。
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| 关 键 词： | 小波变换 故障诊断 非平稳性 |
| 文章编号： | 1001-506X(2006)07-1109-03 |
| 修稿时间： | 2005年5月17日 |
Nonstationarity analysis of fault diagnosis signal based on wavelet transformation |
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| LI Jun,YU Jian-ding,XU Tie-feng.Nonstationarity analysis of fault diagnosis signal based on wavelet transformation[J].System Engineering and Electronics,2006,28(7):1109-1111. |
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| Authors: | LI Jun YU Jian-ding XU Tie-feng |
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| Abstract: | From engineering point of view,practical signification of wavelet transformation is explained and compared with traditional Fourier transformation.Comparison of the time-frequency window of two function indicated characteritic of the time-frequency location and the multiple-scale analyzation of the wave transformation.Base on that,the application of wavelet transformation in fault diagnosis to analyse nonstationarity of roller bearing vibration signals with Daubieches wavelet is introduced.And simulation demonstration of singular points inspection and transient inspection is presented.The results show that wavelet transformation can depict location detail in time domain of nonstationary signal. |
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| Keywords: | wavelet transformation fault diagnosis nonstationarity |
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