| 基于Morlet小波与最大似然估计方法的降噪技术 |
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| 引用本文： | 李方,李友荣,王志刚.基于Morlet小波与最大似然估计方法的降噪技术[J].振动．测试与诊断,2005,25(1):40-42. |
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| 作者姓名： | 李方 李友荣 王志刚 |
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| 作者单位： | 武汉科技大学机械自动化学院,武汉,430081 |
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| 基金项目： | 湖北省机械传动与制造工程重点实验室资助项目 (编号 :2 0 0 3A0 5 ) |
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| 摘 要： | 采用与冲击信号匹配的Morlet小波作为小波基对信号进行小波变换,利用冲击信号的概率密度特征,结合最大似然估计的阈值方法进行降噪,以提取周期性的冲击信号。通过对减速箱故障信号进行降噪,提取出周期性的故障特征信号,表明该方法可以有效地去除强噪声干扰,提取振动冲击信号
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| 关 键 词： | 降噪 Morlet小波 概率密度 最大似然估计 |
| 修稿时间： | 2004年6月10日 |
De-Noising Technology Based on Morlet Wavelet Transform and Maximum Likelihood Estimation |
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| Li Fang,Li Yourong,Wang Zhigang.De-Noising Technology Based on Morlet Wavelet Transform and Maximum Likelihood Estimation[J].Journal of Vibration,Measurement & Diagnosis,2005,25(1):40-42. |
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| Authors: | Li Fang Li Yourong Wang Zhigang |
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| Abstract: | This paper presents a de-noising method to obtain periodic impulse, which not only employs the Morlet wavelet as the basic wavelet for matching the impulse, but also uses the maximum likelihood estimation for thresholding by utilizing the characteristic on the probability of the impulse. By applying this method on analyzing fault signals of a gearbox, periodic fault characteristic signals are obtained. The implication indicates that the signals with heavy noise are denoised and the impulse signals are obtained. |
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| Keywords: | de-noise Morlet wavelet probability density maximum likelihood estimation |
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