| 几个机械状态监测特征量的特性研究 |
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| 引用本文： | 张利群,朱利民,钟秉林.几个机械状态监测特征量的特性研究[J].振动与冲击,2001,20(1):20-21,8. |
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| 作者姓名： | 张利群 朱利民 钟秉林 |
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| 作者单位： | 东南大学机械工程系, |
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| 摘 要： | 本文深入分析了机械状态监测中常用的几个特征量：峭度系数、重心频率、均方频率和频率方差的特性，指出峭度系数虽然对信号中的突变成分很敏感，但当突变发生的频度增加时，峭度系数值反而下降；而重心频率、均方频率和频率方差近似由自相关系数决定,也即它们的信息都包含在自相关系数中，可用时域公式快速计算。
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| 关 键 词： | 重心频率 均方频率 机械状态监测 特征量 峭度系数 特性 频率方差 |
STUDY ON THE FEATURES OF
SOME SPECIFIC PARAMETERS UTILIZED FOR MACHINE CONDITION MONITORING |
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| Zhang Liqun,Zhu Limin,ZHONG Binglin.STUDY ON THE FEATURES OF
SOME SPECIFIC PARAMETERS UTILIZED FOR MACHINE CONDITION MONITORING[J].Journal of Vibration and Shock,2001,20(1):20-21,8. |
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| Authors: | Zhang Liqun Zhu Limin ZHONG Binglin |
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| Abstract: | The features of some parameters,namely kutosis,mean square frequency,spectral frequency center and frequency domain variance which are utilized for machine condition monitoring are analyzed in detail.It is shown that the value of kutosis will decrease as the impulse components dominate the whole signal,in spite of that it is sensitive to the impulse components in the signal.It is demonstrated that the other three parameters describing the change of the power spectrum of the signal are all determined by the auto_correlation coefficients of the signal,so they can be replaced by combination of some auto_correlation coefficients. |
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| Keywords: | condition monitoring specific parameter |
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