| 基于声信号的轴承故障诊断方法 |
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| 引用本文： | 周艳玲,杨德斌,徐金梧,张武军,屈蓉,王海峰. 基于声信号的轴承故障诊断方法[J]. 振动与冲击, 2002, 21(2): 21-23,35 |
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| 作者姓名： | 周艳玲 杨德斌 徐金梧 张武军 屈蓉 王海峰 |
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| 作者单位： | 北京科技大学,机械工程学院,北京,100083 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 机械设备在运行过程中的声音包含了大量的机构运行状态信号，本文采用相关分析，小波变换原理，从应用的角度出发，对滚动轴承故障声信号进行时频分析。通过对声信号的多尺度分解和重构，分离出由故障造成的声信号突变。试验表明，该方法具有较好的可靠性和有效性。
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| 关 键 词： | 声信号 故障诊断 小波变换 相关分析 滚动轴承 振动信号 |
A Method for Detection of Defects in Rolling Element Bearings Based on Acoustic Signal Analysis |
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| Zhou Yanling Yang Debin Xu Jinwu Zhang Wujun Qu Rong Wang Haifeng. A Method for Detection of Defects in Rolling Element Bearings Based on Acoustic Signal Analysis[J]. Journal of Vibration and Shock, 2002, 21(2): 21-23,35 |
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| Authors: | Zhou Yanling Yang Debin Xu Jinwu Zhang Wujun Qu Rong Wang Haifeng |
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| Abstract: | The acoustic signals during the operation of machinery consist of plenty of information about the conditions of components.An approach is presented for analysis of acoustic signals in the paper.By using correlation analysis and wavelet analysis to process the acoustic signals of rolling element bearings,fault features are shown in time_domain as well as in frequency_domain.By multi_resolution signal decomposition and reconstruction the abrupt changes in surging sound signals can be detected.The result shows that the method is preferably reliable and effective. |
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| Keywords: | acoustic signal defect detection wavelet analysis autocorrelation analysis rolling element bearings |
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