| 改进的小波包算法及在故障信号特征提取中的应用 |
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| 引用本文： | 黄建.改进的小波包算法及在故障信号特征提取中的应用[J].电子质量,2007(8):8-10. |
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| 作者姓名： | 黄建 |
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| 作者单位： | 河南理工大学,电气工程与自动化学院,河南,焦作,454003 |
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| 摘 要： | 分析TDaubechies小波系列的频带特性，针对故障诊断信号特征提取的问题，提出了一种改进的小波包算法，并运用该算法对变频调速系统输出电流进行分析。该算法克服了小波包频谱混叠的缺陷且其计算量和占用的存储空间较标准的小波包算法均减少50%.经过仿真证明，该方法适用于变频调速系统故障信号的特征提取。
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| 关 键 词： | 小波包 特征提取 频谱混叠 故障诊断 |
| 文章编号： | 1003-0107（2007）08-0008-03 |
Improved wavelet packet algorithm with application on the feature extraction of fault signal |
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| Huang Jian.Improved wavelet packet algorithm with application on the feature extraction of fault signal[J].Electronics Quality,2007(8):8-10. |
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| Authors: | Huang Jian |
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| Affiliation: | School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China |
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| Abstract: | The frequency characteristics of the Daubechies wavelet series are analyzed, Aiming at the problem of signal feature extraction in fault diagnosis, an improved algorithm of wavelet packets is, proposed. The output current of frequency conversion drives is analyzed by the improved algorithm of the wavelet packets, overcoming frequency aliasing while exists in the original one, calculating time and the using memory of the improved algorithm is less than that of the algorithm of standard wavelet packets by 50%. It is proved that the improved algorithm of the wavelet packets is feasible by the simulation results. |
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| Keywords: | Wavelet packet Feature extraction Frequency aliasing Fault diagnosis |
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