| 基于小波分析的旋转机械振动信号定量特征研究 |
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| 引用本文： | 侯敬宏,黄树红,申弢,张燕平.基于小波分析的旋转机械振动信号定量特征研究[J].机械工程学报,2004,40(1):131-135. |
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| 作者姓名： | 侯敬宏 黄树红 申弢 张燕平 |
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| 作者单位： | 华中科技大学能源与动力工程学院,武汉,430074 |
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| 基金项目： | 国家自然科学基金资助项目(50105004) |
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| 摘 要： | 通过对机械振动信号的连续小波变换,利用小波滤波器良好的时频特性,研究了振动信号经过连续小波交换后的统计特征。在信号的特征提取中, 引入“灰度矩”并把一阶矩作为定量指标。对8种典型故障信号的研究表明,这种方法能够简单有效地提取信号的特征,区分振动故障。
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| 关 键 词： | 小波变换 故障诊断 信号处理 特征提取 |
| 修稿时间： | 2002年8月26日 |
WAVELET-BASED QUANTITATIVE ANALYSIS OF VIBRATION SIGNAL OF ROTARY MACHINES |
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| Hou Jinghong Huang Shuhong Shen Tao,Zhang Yanping.WAVELET-BASED QUANTITATIVE ANALYSIS OF VIBRATION SIGNAL OF ROTARY MACHINES[J].Chinese Journal of Mechanical Engineering,2004,40(1):131-135. |
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| Authors: | Hou Jinghong Huang Shuhong Shen Tao Zhang Yanping |
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| Affiliation: | Huazhong University of Science and Technology |
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| Abstract: | Wavelet has very good time-frequency domain features, the continuous wavelet coefficients of mechanical vibration signal is studied. From the aspect of feature extracting, this paper puts forward a new statistics and proved that this kind of one-order moment is very effective. 8 kinds of fault analysis results are given in detail. Research show that this quantitative analysis method could be used for extracting features of vibration siganl. |
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| Keywords: | Wavelet transform Fault diagnosis Signal processing Feature extracting |
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