| 基于改进支持向量机方法的汽轮机故障诊断研究 |
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| 引用本文： | 张鸿雁.基于改进支持向量机方法的汽轮机故障诊断研究[J].煤矿机械,2008,29(7):197-199. |
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| 作者姓名： | 张鸿雁 |
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| 作者单位： | 哈尔滨汽轮机厂有限责任公司,哈尔滨,150040 |
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| 摘 要： | 针对汽轮机故障诊断问题,在分析比较支持向量机"一对多"和"一对一"多分类算法的基础上,构建改进的串行支持向量机多分类方法,并依据该算法建立了多故障分类器,将其应用于典型的汽轮机故障诊断,仿真实验结果证明了该方法的有效性。
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| 关 键 词： | 支持向量机 故障诊断 汽轮发电机组 模式识别 |
| 文章编号： | 1003-0794(2008)07-0197-03 |
| 修稿时间： | 2008年1月18日 |
Research on Turbine-generator Unit Fault Diagnosis with Improving SVM Method |
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| ZHANG Hong-yan.Research on Turbine-generator Unit Fault Diagnosis with Improving SVM Method[J].Coal Mine Machinery,2008,29(7):197-199. |
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| Authors: | ZHANG Hong-yan |
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| Abstract: | To turbine-generator unit fault diagnosis problems,an improved serial SVM(support vector machine) multi-classes classifier was designed with the analysis on SVM "one against one" and "one against all" algorithm.A multi-fault classifier was designed based on the proposed method and applied to typical turbine-generator unit fault diagnosis.Simulation results demonstrate the effectiveness of the proposed method. |
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| Keywords: | support vector machine fault diagnosis turbo-generator unit pattern recognition |
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