| 故障信号检测时最佳小波基的选择 |
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| 引用本文： | 张芸芸,王新.故障信号检测时最佳小波基的选择[J].微计算机信息,2012(1):52-54. |
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| 作者姓名： | 张芸芸 王新 |
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| 作者单位： | 河南理工大学电气工程与自动化学院 |
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| 基金项目： | 河南省高校科技创新人才支持计划项目(2008HASTIT022);河南省控制工程重点学科开放实验室开发基金项目(KG2009-1) |
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| 摘 要： | 介绍了小波变换的基本理论及信号奇异性检测的原理。重点研究了故障信号检测的最佳小波基函数及分解尺度的选择问题,按照小波规则性系数选择小波基,这种方法是基于小波变换系数的大小与小波函数和信号之间的相似程度成正比,即小波变换系数越大,说明此小波与所分析信号相似度越高;反之就越低。仿真实验证明该方法的有效性和可行性。
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| 关 键 词： | 小波基 选择 故障检测 规则性 |
Selection of the optimal wavelet basis for detection of fault signal |
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| ZHANG Yun-yun WANG Xin.Selection of the optimal wavelet basis for detection of fault signal[J].Control & Automation,2012(1):52-54. |
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| Authors: | ZHANG Yun-yun WANG Xin |
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| Affiliation: | ZHANG Yun-yun WANG Xin(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China) |
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| Abstract: | Basic theory of wavelet transformation and signal singularity detection are introduced.The issue how to select the optimal wavelet base and its scale for detection of fault signal is the emphasis.Selecting wavelet basis according to regularity of wavelet transform coefficients.It’s based on the similarity of wavelet function and signal is in propotion to wavelet transformation coefficient.It ’s means the bigger the wavelet coefficient,the closer wavelet macthes signal.The simulation experiments prove the effectiveness and feasibility of this method. |
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| Keywords: | wavelet basis selection fault detection regularity |
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