| 基于小波包分解的频带局部能量特征提取方法 |
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| 引用本文： | 王奉涛,马孝江,邹岩崑,张志新. 基于小波包分解的频带局部能量特征提取方法[J]. 农业机械学报, 2004, 35(5): 177-180 |
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| 作者姓名： | 王奉涛 马孝江 邹岩崑 张志新 |
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| 作者单位： | 大连理工大学机械工程学院,讲师,博士,116024,大连市;大连理工大学机械工程学院,教授;大连理工大学机械工程学院,博士生;大连理工大学机械工程学院,讲师 |
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| 摘 要： | 提出了一种基于小波包分解的频带局部能量特征提取方法。在小波包分解的理论基础上 ,引入了频带局部能量的概念 ,用以表征信号在某个频带的某个时间段的能量大小 ,反映了信号频率的时变性。并以仿真信号为例 ,说明基于小波包分解的频带局部能量特征提取方法的有效性。
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| 关 键 词： | 故障诊断 特征提取 小波包 频带局部能量 |
| 修稿时间： | 2003-01-10 |
Local Power Feature Extraction Method of Frequency Bands Based on Wavelet Packet Decomposition |
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| Wang Fengtao Ma Xiaojiang Zou Yankun Zhang Zhixin. Local Power Feature Extraction Method of Frequency Bands Based on Wavelet Packet Decomposition[J]. Transactions of the Chinese Society for Agricultural Machinery, 2004, 35(5): 177-180 |
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| Authors: | Wang Fengtao Ma Xiaojiang Zou Yankun Zhang Zhixin |
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| Affiliation: | Dalian University of Technology |
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| Abstract: | Vibration signals of a machine are proved to be non stationary ones. They usually carry important dynamic information of a machine and are very useful for fault diagnosis. Wavelet packet decomposition is a tool for signal identification. In this paper, a new feature extraction method based on wavelet packet decomposition was presented. The concept of local power of frequency bands used for measurement of signal power in selected frequency bands and certain periods was defined. The proposed feature extraction method was tested by the simulated signals and the results showed that the method was effective. |
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| Keywords: | Fault diagnosis Feature extraction Wavelet packet Local power of frequency bands |
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