| 基于K-L变换的支持向量机在汽轮机故障诊断中的应用 |
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| 引用本文： | 张超,韩璞,唐贵基.基于K-L变换的支持向量机在汽轮机故障诊断中的应用[J].汽轮机技术,2007,49(2):148-150. |
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| 作者姓名： | 张超 韩璞 唐贵基 |
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| 作者单位： | 1. 华北电力大学机械工程学院,保定,071003
2. 华北电力大学自动化系,保定,071003 |
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| 基金项目： | 华北电力大学博士教师学位科研基金 |
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| 摘 要： | 支持向量机应用于故障诊断是近年来研究的热点,在支持向量机算法的基础上,以汽轮机故障为例,引入了K-L变换对故障特征进行提取。结果表明,经K-L变换后的支持向量机算法能够保证故障信息的完整性,有效识别临界故障状态,提高了故障的分类精度,扩展了支持向量机的应用范畴。
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| 关 键 词： | 支持向量机 K-L变换 特征提取 故障诊断 |
| 文章编号： | 1001-5884（2007）02-0148-03 |
| 修稿时间： | 2006-03-29 |
Application of Support Vector Machine Based on K- L Transform in Turbine Fault Diagnosis |
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| ZHANG Chao,HAN Pu,TANG Gui-ji.Application of Support Vector Machine Based on K- L Transform in Turbine Fault Diagnosis[J].Turbine Technology,2007,49(2):148-150. |
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| Authors: | ZHANG Chao HAN Pu TANG Gui-ji |
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| Affiliation: | 1. School of Mechanical Engineering,North China Electricity Power University, Baoding 071003 ,China; 2 Department of Automation, North China Electricity Power University, Baoding 071003, China |
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| Abstract: | The application of support vector machine in fault diagnosis is the research hotspots in recent years.This paper first researches the algorithm of support vector machine,and introduces K-L transform method to extract the characteristic of the diagnosis of turbine.The result indicates that the algorithm of support vector machine based on K-L transform can ensure the integrality of diagnosis characteristic,and effectively recognize the critical diagnosis,which improves the precision of classification and extends the application bound of support vector machine. |
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| Keywords: | support vector machine K-L transform feature extraction fault diagnosis |
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