| 一种新的小波包算法在机械故障诊断中的应用 |
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| 引用本文： | 李俊秀.一种新的小波包算法在机械故障诊断中的应用[J].科技信息,2013(19):100-101. |
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| 作者姓名： | 李俊秀 |
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| 作者单位： | 中北大学〈太原〉信息与通信工程学院,山西太原030051 |
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| 摘 要： | 小波变换由于其良好的时频特性,已广泛用于旋转机械、往复机械、齿轮、轴承等的状态监测和故障诊断中。它能将信号中不同的频率成分分解到互不重叠的频带上,为信号的信噪分离提供了有效途径。在此基础上,我们又引入了小波包分析,它能够为信号提供一种更加精细的分析方法,它能将频带进行多层次划分,对小波分析没有细分的高频部分进一步分解。本文提出了一种新的小波包算法,应用于工程中信号的噪声消除。
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| 关 键 词： | 信噪分离 小波包 新算法 |
The Application of A New Wavelet Packet Algorithm in Machine Condition Monitoring |
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| LI Jun-xiu.The Application of A New Wavelet Packet Algorithm in Machine Condition Monitoring[J].Science,2013(19):100-101. |
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| Authors: | LI Jun-xiu |
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| Institution: | LI Jun-xiu (North Univercity of China, School of Information and Communication Engineering, Taiyuan, Shanxi, 030051) |
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| Abstract: | Wavelet transform because of its good time-frequency characteristics, has been , and fault diagnosis of rotating machinery, reciprocating machinery, gear, bearing. It will signal into ram- overlapping frequency bands, provides an effective approach for the separation of signal and introduce the wavelet packet analysis, it can provide a finer analysis approach for signal, it can be band chtssily multi-level wavelet high frequency part has not subdivided further decomposition. This paper proposes a new wavelet packet . |
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| Keywords: | Signal-noise separation Wavelet packet The new algorithm |
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