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模糊支持向量机在汽轮机故障诊断中的应用
引用本文:王国鹏,翟永杰,封官斌,王东风. 模糊支持向量机在汽轮机故障诊断中的应用[J]. 华北电力大学学报(自然科学版), 2003, 30(4): 47-50
作者姓名:王国鹏  翟永杰  封官斌  王东风
作者单位:1. 华北电力大学,动力工程系,河北,保定,071003
2. 国华定州发电公司,河北,定州,073000
摘    要:阐述了模糊支持向量机的原理。考虑到各类样本的不同影响,在基于风险的基础上,通过确定各个样本的模糊隶属度,引入模糊支持向量机的概念,将这一理论应用于汽轮机减速箱的故障诊断中,使一类样本点中只包含正常样本。实验结果表明了该方法的可行性与有效性。

关 键 词:模糊支持向量机  模糊隶属度  最优超平面  故障诊断
文章编号:1007-2691(2003)04-0047-04
修稿时间:2002-12-06

Application of fuzzy support vector machines for fault diagnosis of turbo- generator unit
WANG Guo-peng,ZHAI Yong-jie,FENG Guan-bin,WANG Dong-feng. Application of fuzzy support vector machines for fault diagnosis of turbo- generator unit[J]. Journal of North China Electric Power University, 2003, 30(4): 47-50
Authors:WANG Guo-peng  ZHAI Yong-jie  FENG Guan-bin  WANG Dong-feng
Abstract:The theory of Support Vector Machines is presented. Considering the different effects of input points, the conception of Fuzzy Support Vector Machines (FSVM) is applied in this article. The fuzzy membership to each input points is confirmed on the base of risk. The theory is applied for the fault diagnosis in the reducer of turbogenerator unit with only normal data involved. The experiment results proved the feasibility and validity of this method.
Keywords:fuzzy support vector machines  fuzzy membership  optimal hyper-plane  fault diagnosis
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