| 局域均值分解法在轴承故障诊断中的应用 |
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| 引用本文： | 于雯,陈晓平,王禄. 局域均值分解法在轴承故障诊断中的应用[J]. 轴承, 2011, 0(9): 49-52 |
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| 作者姓名： | 于雯 陈晓平 王禄 |
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| 作者单位： | 江苏大学 电气与信息工程学院,江苏镇江,212013 |
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| 摘 要： | 局域均值分解法将复杂的多分量信号分解为若干个乘积函数(PF)的线性组合,每个PF分量由1个包络信号和1个调频信号相乘得到,包络信号就是该PF的瞬时幅值,而PF的瞬时频率可以由纯调频信号求出。进一步将所有PF分量的瞬时频率和瞬时幅值相组合,即可得到原始信号的时频分布。通过对故障轴承信号的分析表明,该方法能清晰地提取轴承故障特征。
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| 关 键 词： | 滚动轴承 局域均值分解法 瞬时幅值 故障检测 |
Application of Local Mean Decomposition in Fault Diagnosis of Bearings |
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| YU Wen,CHEN Xiao-ping,WANG Lu. Application of Local Mean Decomposition in Fault Diagnosis of Bearings[J]. Bearing, 2011, 0(9): 49-52 |
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| Authors: | YU Wen CHEN Xiao-ping WANG Lu |
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| Affiliation: | (School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China) |
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| Abstract: | The local mean decomposition firstly decompose complex multi-component signal into the linear combination of a number of product functions(production function,PF),each of which is a product of an envelope signal and a purely frequency modulated(FM) signal.Envelope signal is the instantaneous amplitude of the PF,and PF instantaneous frequency can be obtained from the pure FM signal.Accordingly,the complete time-frequency distribution of the original signal can be obtained by combining the instantaneous frequency and instantaneous amplitude of all PF components.By using this new method,the fault features of the actual bearing signal can be extracted successfully. |
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| Keywords: | rolling bearing local mean decomposition instantaneous amplitude fault detection |
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