| 基于小波分析的频带局部能量的特征提取 |
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| 引用本文： | 郭萍,王海滨,郑晓波. 基于小波分析的频带局部能量的特征提取[J]. 西华大学学报(自然科学版), 2007, 26(5): 38-41 |
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| 作者姓名： | 郭萍 王海滨 郑晓波 |
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| 作者单位： | 西华大学电气信息学院,四川,成都,610039;西华大学电气信息学院,四川,成都,610039;西华大学电气信息学院,四川,成都,610039 |
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| 基金项目： | 四川省教育厅资助项目;西华大学校科研和教改项目 |
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| 摘 要： | 提出了一种基于小波分析频带局部能量的特征提取法。利用Matlab软件仿真,把该方法分别运用于频率跳变信号、幅值衰减信号和含瞬态成分的信号,并与常规的频带能量特征提取法进行比较,均得到了更好的特征提取效果。该方法由于考虑了频率的时变性,与常规的特征提取法相比,更具优越性。
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| 关 键 词： | 故障诊断 小波分析 频带能量 频带局部能量 特征提取 |
| 文章编号： | 1673-159X（2007）05-0038-04 |
| 修稿时间： | 2006-11-29 |
Extraction of Local Power Feature from Frequency Bands Based on Wavelet Analysis |
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| GUO Ping,WANG Hai-bin,ZHENG Xiao-bo. Extraction of Local Power Feature from Frequency Bands Based on Wavelet Analysis[J]. Journal of Xihua University(Natural Science Edition), 2007, 26(5): 38-41 |
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| Authors: | GUO Ping WANG Hai-bin ZHENG Xiao-bo |
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| Abstract: | In this paper,a new feature extraction method based on wavelet analysis was presented.The frequency time-variation was considered in this method,so signals could be analyzed and processed accurately.The method was applied to three kinds of signals,i.e.the frequency hopping signal,the decaying signal on amplitude and the signal comprising instant signal.The results obtained show that the method is effective. |
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| Keywords: | fault diagnosis wavelet analysis power of frequency bands local power of frequency bands feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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