| EMD方法基于径向基神经网络预测的数据延拓与应用 |
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| 引用本文： | 胡劲松,杨世锡.EMD方法基于径向基神经网络预测的数据延拓与应用[J].机械强度,2007,29(6):894-899. |
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| 作者姓名： | 胡劲松 杨世锡 |
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| 作者单位： | 1. 宁波工程学院,电信学院,宁波,315010
2. 浙江大学,机能学院,杭州,310027 |
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| 基金项目： | 国家自然科学基金
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浙江省宁波市自然科学基金 |
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| 摘 要： | 把基于径向基神经网络(radbas function,RBF)预测的数据延拓技术引入经验模态分解(empirical mode decomposition,EMD)时频分析领域,论述基于RBF神经网络预测的数据延拓技术原理,通过对非线性仿真信号基于RBF神经网络预测延拓研究表明,该延拓技术是有效的,并且把该延拓技术应用于转子横向裂纹的时频分析,获得良好的效果.该研究成果能广泛用于信号时频分析领域.
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| 关 键 词： | 经验模态分解(EMD)方法 径向基(RBF)神经网络预测 数据延拓 时频分析 方法 径向基神经网络 神经网络预测 数据 预测延拓 技术应用 ANALYSIS RBF NEURAL NETWORK BASED TECHNIQUE EXTENSION DATA EMD METHOD 仿真信号 效果 时频分析 横向裂纹 转子 研究 非线性 |
| 收稿时间： | 2005-08-08 |
| 修稿时间： | 2006-06-23 |
APPLICATION OF EMD METHOD WITH DATA EXTENSION TECHNIQUE BASED ON RBF NEURAL NETWORK TO TIME-FREQUENCY ANALYSIS |
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| HU JingSong,YANG ShiXi.APPLICATION OF EMD METHOD WITH DATA EXTENSION TECHNIQUE BASED ON RBF NEURAL NETWORK TO TIME-FREQUENCY ANALYSIS[J].Journal of Mechanical Strength,2007,29(6):894-899. |
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| Authors: | HU JingSong YANG ShiXi |
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| Abstract: | The data extension technique based on the radbas function(RBF) neural network prediction is introduced to time-frequency analysis by the empirical mode decomposition(EMD) method.The data extension technique applied to a simulation signal is explained in detail.EMD time-frequency analysis with the data extension technique on vibration signal of a deeply cracked rotor is introduced and the results show that the method is helpful to detect the phase-modulation caused by torsional vibration of the rotor.The suggested method can be applied widely to time-frequency analysis field. |
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| Keywords: | Empirical mode decomposition(EMD) method Radbas function(RBF) neural network prediction Data extension Time-frequency analysis |
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