| 基于变尺度随机共振的冲击信号自适应提取与识别方法 |
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| 引用本文： | 曹衍龙,杨毕玉,杨将新,郑仕谱,周威杰.基于变尺度随机共振的冲击信号自适应提取与识别方法[J].振动与冲击,2016,35(5):65-69. |
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| 作者姓名： | 曹衍龙 杨毕玉 杨将新 郑仕谱 周威杰 |
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| 作者单位： | 浙江大学 机械工程学系，杭州 310027 |
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| 基金项目： | 国家自然科学基金(51175466;51575486)资助项目 |
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| 摘 要： | 针对不同设备故障会产生不同冲击信号类型的问题，为了克服传统指标不能区分冲击信号类型的不足，本文分析了冲击信号峭度值和近似熵的特性，将两个指标相结合，构造冲击信号特征系数，在此基础上提出了一种基于变尺度随机共振的冲击信号自适应提取与识别方法，实现强噪声环境中弱冲击信号的提取与识别。最后，通过仿真验证该方法的有效性和可行性。
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| 关 键 词： | 冲击信号 变尺度随机共振 信号提取 信号识别 |
Impact Signal Adaptive Extraction and Recognition Based on scale transformation Stochastic Resonance System |
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| CAO Yan-long;YANG Bi-yu;YANG Jiang-xin;ZHENG Shi-pu;ZHOU Wei-jie.Impact Signal Adaptive Extraction and Recognition Based on scale transformation Stochastic Resonance System[J].Journal of Vibration and Shock,2016,35(5):65-69. |
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| Authors: | CAO Yan-long;YANG Bi-yu;YANG Jiang-xin;ZHENG Shi-pu;ZHOU Wei-jie |
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| Affiliation: | Department of Mechanical Engineering, Zhejiang University, Hangzhou 310027 |
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| Abstract: | Different equipment malfunction will produce different types of impact signal. But traditional index can’t distinguish the types of impact signal. In order to overcome the shortcomings, in this paper, kurtosis value and approximate entropy of impact signal are analyzed and impact signal characteristic coefficient is constructed combining of the two indexes. On the basis of this, a method of impact signal adaptive extraction and recognition based on scale transformation stochastic resonance system is presented. Then the extraction and recognition of weak signal in the strong noise environment is realized. Finally, the effectiveness and feasibility of the method are verified through simulation.
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| Keywords: | impact signal scale transformation stochastic resonance signal extraction signal recognition |
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