| 基于核方法的复杂设备运行状态监测技术 |
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| 引用本文： | 肖健华.基于核方法的复杂设备运行状态监测技术[J].五邑大学学报(自然科学版),2003,17(1):1-6. |
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| 作者姓名： | 肖健华 |
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| 作者单位： | 五邑大学,智能技术与系统研究所,广东,江门,529020 |
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| 基金项目： | 广东省自然科学基金(No. 021349) |
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| 摘 要： | 分析了复杂机械设备运行状态监测中遇到的困难，介绍了基于核的特征提取方法和基于支持向量机的模式识别理论，指出：将核方法应用到状态监测中有望解决其中的非线性、不精确性和不确定性问题，为该领域的研究提供了全新且可行的研究途径。
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| 关 键 词： | 核方法 特征提取 状态监测 故障诊断 支持向量机 |
| 文章编号： | 1006-7302(2003)01-0001-06 |
| 修稿时间： | 2002年3月21日 |
Condition Monitoring Technology for Complicated Equipment Based on Kernel Method |
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| XIAO Jian-hua.Condition Monitoring Technology for Complicated Equipment Based on Kernel Method[J].Journal of Wuyi University(Natural Science Edition),2003,17(1):1-6. |
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| Authors: | XIAO Jian-hua |
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| Abstract: | In this paper, the difficulty of running condition monitoring for complicated equipment is analyzed and the method of feature extraction based on kernel method and the theory of pattern recognition based on SVM are introduced. Then the paper points out that the problem of nonlinear, imprecise and uncertainty in condition monitoring could be solved when the kernel method is used. |
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| Keywords: | kernel method feature extraction condition monitoring fault diagnosis support vector machine |
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