| 基于小波包分解和特征能量提取技术的车内传导干扰源识别 |
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| 引用本文： | 吴定超,王珂,马喜来,高印寒.基于小波包分解和特征能量提取技术的车内传导干扰源识别[J].汽车工程,2008,30(12). |
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| 作者姓名： | 吴定超 王珂 马喜来 高印寒 |
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| 摘 要： | 车内大功率用电设备的电压波动是车内产生传导干扰的主要原因。文中介绍了通过对采集的干扰信号进行小波包分解,对系数进行最小风险的去噪处理,然后提取特征能量来识别车内传导干扰源。最后采用EM-test设备发生干扰信号进行实验,结果表明该方法对车内电压波动的主要干扰源有较强的识别能力。
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| 关 键 词： | 传导干扰 小波包分解 干扰源识别 特征能量提取 |
Identification of Conducted Interference Sources in Vehicle Based on Wavelet Packet Decomposition and Characteristic Energy Extraction |
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| Wu Dingchao,Wang Ke,Ma Xilai,Gao Yinhan.Identification of Conducted Interference Sources in Vehicle Based on Wavelet Packet Decomposition and Characteristic Energy Extraction[J].Automotive Engineering,2008,30(12). |
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| Authors: | Wu Dingchao Wang Ke Ma Xilai Gao Yinhan |
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| Abstract: | The voltage fluctuation in high power electrical equipment is one of the major sources of conducted interference in vehicle.In this paper,a scheme is presented that through the wavelet packet decomposition of interference signal,the denoising treatment of transform coefficients with minimum risk and then the extraction of characteristic energy,the conducted interference sources in vehicle are identified.Finally an experiment is performed on interference signals generated by EM-test equipment with a result showing that the scheme has powerful capability in identifying the major interference sources of voltage fluctuation in vehicle. |
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| Keywords: | conducted interference wavelet packet decomposition interference source identification characteristic energy extraction |
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