| 基于倒谱和小波变换的驱动桥故障特征提取 |
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| 引用本文： | 王铁,张国忠,侯荣涛.基于倒谱和小波变换的驱动桥故障特征提取[J].计算机测量与控制,2003,11(8):580-582. |
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| 作者姓名： | 王铁 张国忠 侯荣涛 |
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| 作者单位： | 东北大学,机械工程与自动化学院,辽宁,沈阳,110004 |
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| 基金项目： | 国家自然科学基金资助项目 (5 9835 0 5 0 ) |
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| 摘 要： | 给出了一种驱动桥故障特征提取的方法，即无论驱动桥处于工作时的动态，还是非工作时的静态(采用锤击制造源信号)，所提取的信号都经过离散小波消噪处理，和小波包分解。对工作时的动态，需再用倒谱变换方法进行特征提取。此方法成功地解决了特征提取环境与工作环境不一致及动、静态故障特征提取方法差异过大的矛盾。用此方法提取的神经网络训练样本，会提高系统辨识的精确性。
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| 关 键 词： | 驱动桥 故障特征提取 倒谱 小波变换 时频域处理 |
| 文章编号： | 1671-4598(2003)08-0580-03 |
| 修稿时间： | 2003年2月27日 |
Drive-shaft′s Trouble Character Collection Based on Cepstrum and Wavelets |
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| WANG Tie,ZHANG Guo-zhong,HOU Rong-tao.Drive-shaft′s Trouble Character Collection Based on Cepstrum and Wavelets[J].Computer Measurement & Control,2003,11(8):580-582. |
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| Authors: | WANG Tie ZHANG Guo-zhong HOU Rong-tao |
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| Abstract: | A kind method of rare-shaft trouble character collected was given, that is whether rear axle is working or not, all signals were handled by discrete wavelets and decomposed by wavelet packets. When rare-shaft is working, character will be gotten by cepstrum. This method is succeed to resolve a environmental contradiction of character collection and working no-fitting. It also resolve a contradiction of difficulty to get trouble character of moving and stationary. The training models of getting by this method can rise up distinguishable accuracy of system. |
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| Keywords: | rear axle wavelet analysis cepstrum trouble character character collection |
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