| 弧焊过程电信号的小波包分析 |
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| 引用本文： | 薛家祥,易志平.弧焊过程电信号的小波包分析[J].机械工程学报,2003,39(4):128-130. |
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| 作者姓名： | 薛家祥 易志平 |
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| 作者单位： | 华南理工大学机械工程学院,广州,510640 |
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| 基金项目： | 广东省自然科学基金资助项目(000380) |
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| 摘 要： | CO2弧焊过程电信号的实际测试过程中,消除噪声干扰是一个重要的环节,小波包滤波方法可以有效地将信号和噪声区别开来。在Windows环境下,采用Visual C++6.0编程实现了小波包软阈值算法。测试结果表明:基于软阈值的小波包滤波是一种更有效的降噪方法,它可以改善信号特征信息的提取。
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| 关 键 词： | 小波包降噪 软阈值 弧焊过程 |
| 修稿时间： | 2002年4月8日 |
WAVELET PACKET ANALYSIS TO ELECTRONIC SIGNAL OF ARC WELDING PROCESS |
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| Xue Jiaxiang Yi Zhiping.WAVELET PACKET ANALYSIS TO ELECTRONIC SIGNAL OF ARC WELDING PROCESS[J].Chinese Journal of Mechanical Engineering,2003,39(4):128-130. |
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| Authors: | Xue Jiaxiang Yi Zhiping |
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| Affiliation: | South China University of Technology |
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| Abstract: | In the practical experiment to electrical signal of CO2 arc welding process, it's an important step to eliminate the disturb of noise. Wavelet packet filter method can effectively distinguish the signal and noise. Under Windows circumstance and by use of Visual C++ 6.0 program language, the wavelet packet filtering algorithm with soft threshold operation is realized. It has been proved by the experiments that the wavelet packet filtering base on soft threshold is the better de-noising method, and it can improve the effect of extracting signal characteristics. |
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| Keywords: | Wavelet packet de-noising Soft threshold Arc welding process |
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