| 基于小波分析的滚动轴承故障诊断研究 |
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| 引用本文： | 徐千,程秀芳,侯娅品. 基于小波分析的滚动轴承故障诊断研究[J]. 机械工程师, 2012, 0(2): 30-32 |
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| 作者姓名： | 徐千 程秀芳 侯娅品 |
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| 作者单位： | 河北联合大学,河北唐山,063009 |
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| 摘 要： | 通过典型信号的MATLAB仿真,针对滚动轴承故障信号的非平稳性特点,结合峭度直方图和小波函数的时频分析方法,对包含滚动轴承故障信息的信号进行了小波分解和重构,对重构后的细节信号作Hilbert包络并进行谱分析,从而有效地把轴承中的故障信息成分识别出来.
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| 关 键 词： | 小波分析 滚动轴承 故障诊断 |
Faulty Diagnosis of Rolling Bearing Based on Wavelet Analysis |
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| XU Qian , CHENG Xiu-fang , HOU Ya-pin. Faulty Diagnosis of Rolling Bearing Based on Wavelet Analysis[J]. Mechanical Engineer, 2012, 0(2): 30-32 |
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| Authors: | XU Qian CHENG Xiu-fang HOU Ya-pin |
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| Affiliation: | (Hebei United University,Tangshan 063009,China) |
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| Abstract: | Combined with the kurtosis of the histogram and wavelet time-frequency analysis,MATLAB simulation of a typical signal for rolling bearing fault signal of non-stationary characteristics is used to decompose and reconstruct the signal contains the information on the bearing fault with the wavelet.Hilbert envelope and spectral analysis are carried out to reconstructed detail signals,which identifies bearing fault information elements effectively. |
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| Keywords: | wavelet analysis rolling bearing fault diagnosis |
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