| 基于小波分析的轴承故障诊断和分析 |
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| 引用本文： | 杨丹明,王富东.基于小波分析的轴承故障诊断和分析[J].工业控制计算机,2010,23(11):42-43. |
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| 作者姓名： | 杨丹明 王富东 |
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| 作者单位： | 苏州大学机电工程学院电气工程与自动化系,江苏苏州215006 |
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| 摘 要： | 故障特征提取与表示关系到故障诊断的可靠性和准确性,是机械设备故障诊断中的关键问题,而且是机械设备故障诊断的瓶颈所在。应用小波分析理论,针对旋转机械体轴承这种典型部件,对于他们的故障特征进行提取、表示以及判断。
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| 关 键 词： | MATLAB 轴承 故障诊断 小波变换 |
Fault Feature of Bearing Based on Wavelet Analysis and Diagnosis |
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| Abstract: | Fault feature representation and extraction is the most crucial and difficult problem for the reliability and accuracy in mechanical fault diagnosis.This paper applies the wavelet analysis theory,in view of revolving mechanical body bearing this kind of typical part,regarding theirs Fault feature extraction and representation,as well as judgment. |
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| Keywords: | MATLAB bearing fault diagnosis wavelet transformation time-frequency distribution |
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