| 基于支持向量机的设备振动信号趋势预测 |
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| 引用本文： | 侯澍旻,李友荣,刘光临.基于支持向量机的设备振动信号趋势预测[J].湖北工业大学学报,2006,21(3):12-14,17. |
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| 作者姓名： | 侯澍旻 李友荣 刘光临 |
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| 作者单位： | 武汉科技大学机械自动化学院,湖北,武汉,430081 |
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| 摘 要： | 详细分析了支持向量机用于趋势预测的理论基础,通过Lorenz仿真信号的单步、多步预测证明,支持向量机由于采用了结构风险最小化准则表现出优秀的推广能力,预测区间较长且精度较高.工程应用实例也表明支持向量机在设备趋势预测中可以满足实际需要,具有很好的应用前景.
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| 关 键 词： | 趋势预测 支持向量机 振动信号 |
| 文章编号： | 1003-4684（2006）06-0012-03 |
| 收稿时间： | 2006-03-15 |
| 修稿时间： | 2006-03-15 |
Trend Forecasting of Mechanical Equipment Vibration Signal Based on SVM |
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| HOU Shu-min,LI You-rong,LIU Guang-lin.Trend Forecasting of Mechanical Equipment Vibration Signal Based on SVM[J].Journal of Hubei University of Technology,2006,21(3):12-14,17. |
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| Authors: | HOU Shu-min LI You-rong LIU Guang-lin |
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| Affiliation: | College of Mechanics and Automation ,Wuhan Univ. of Sci. and Technology ,Wuhan 430081 ,China |
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| Abstract: | This paper introduces the basic theory of SVM in time series forecasting.Then,Lorenz signal is predicted via SVM.The result shows that the superiority of this method is due to the adoption of new type of structural risk minimization principle.The real forecasting of vibration signal demonstrates the promising application of SVM. |
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| Keywords: | trend forecasting supports vector machine vibration signal |
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