| 滚动轴承微弱故障信号检测的研究 |
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| 引用本文： | 陆爽,田野. 滚动轴承微弱故障信号检测的研究[J]. 组合机床与自动化加工技术, 2004, 0(8): 3-5 |
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| 作者姓名： | 陆爽 田野 |
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| 作者单位： | 1. 长春大学机械工程学院,吉林,长春,130022
2. 长春工业大学机电工程学院,吉林,长春,130012 |
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| 摘 要： | 研究了信号局部奇异性在小波变换下的特性.根据故障信号和噪声的局部奇异性在小波变换下模极大值在不同尺度上的传播特性不同的特点,利用小波分解重构算法,对滚动轴承振动信号进行了分解、去噪、重构和谱分析.实验表明,小波减噪方法非常适于滚动轴承微弱故障信号的检测.
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| 关 键 词： | 小波变换 故障诊断 滚动轴承 |
| 文章编号： | 1001-2265(2004)08-0003-03 |
| 修稿时间： | 2003-12-29 |
Research on measurement of rolling bearing faint vibration signal |
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| LU Shuang TIAN Ye. Research on measurement of rolling bearing faint vibration signal[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2004, 0(8): 3-5 |
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| Authors: | LU Shuang TIAN Ye |
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| Affiliation: | LU Shuang TIAN Ye |
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| Abstract: | The signal local singularities under the wavelet transform are studied. According to the propagation features of modulus maximums of the fault signal and the noise under the wavelet transform different on the scales, and by use of the signal wavelet decomposition-reconstruction algorithm,the machinery vibration signal is decomposed, denoised, reconstructed and spectrum analysesd. The experiment shows that such method is capable of measurement of rolling bearing faint vibration signal. |
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| Keywords: | wavelet transform fault diagnosis rolling bearing |
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