| EMD方法基于AR模型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AR模型预测的数据延拓与应用[J]. 振动、测试与诊断, 2007, 27(2): 116-120 |
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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;浙江省宁波市自然科学基金 |
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| 摘 要： | 把基于时间序列AR模型预测的数据延拓技术引入经验模态分解（EMD）时频分析领域，论述了基于AR模型的数据延拓技术原理，即先对原始数据进行AR建模，然后利用模型对该数据进行延拓。通过对非线性仿真信号基于AR模型的延拓研究表明，该延拓技术是有效的。把该延拓技术应用于转子横向裂纹的时频分析，能把横向裂纹转子的扭振所形成的相位调制现象检测出来，获得了良好的效果。
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| 关 键 词： | 经验模态分解方法 AR模型预测 数据延拓 时频分析 |
| 收稿时间： | 2005-08-20 |
| 修稿时间： | 2005-08-202005-11-17 |
AR Model Prediction-Based EMD Method and Its Application to Data Extension |
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| Hu Jingsong,Yang Shixi. AR Model Prediction-Based EMD Method and Its Application to Data Extension[J]. Journal of Vibration,Measurement & Diagnosis, 2007, 27(2): 116-120 |
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| Authors: | Hu Jingsong Yang Shixi |
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| Abstract: | The AR model prediction-based data extension technology was introduced to the field of empirical mode decomposition(EMD)time-frequency analysis.The data extension technology is that,first modeling the original data with the AR method,then extending the data with the construct model.A simulate nonlinear signal is researched with the method and results show that the technology is valid in the field of the EMD time-frequency analysis.A deep crack rotor vibration signal is researched also using the extension method and the results show that the method is helpful to detect the phase-modulation caused by torsional vibration of the rotor.The result of the study can be widely used in time-frequency analysis field. |
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| Keywords: | empirical mode decomposition(EMD)method AR model prediction data extension time-frequency analysis |
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