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可变风险支持向量机在柴油机故障诊断中的应用 被引量:1

Application of the Variable-risk Support Vector Machines in the Diesel Engine Fault Diagnosis
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摘要 针对支持向量机在故障诊断中不能区别不同误判所造成损失不同的缺点,提出并应用了可变风险支持向量机,对最优分类面进行重新设计,使之更符合实际情况,并在柴油机故障诊断中取得了很好的效果。 To the drawbacks of the support vector machines can not distinguish the different loss by different miscarriage of justice, the vario-risk support vector machines is proposed, redesigned the optimum classified face,to make it be true of actual condition. It is applied in the fault diagnosis of the diesel engine successfully.
出处 《科学技术与工程》 2009年第14期4032-4037,4043,共7页 Science Technology and Engineering
关键词 故障诊断 可变风险 支持向量机 柴油机 fault diagnosis vario-risk support vector machines diesel engine
作者简介 肖云魁,教授,博士生导师,研究方向:智能故障诊断,E-mail:yxiao@public.tpt.tj.cn。
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参考文献2

  • 1肖健华,樊可清,吴今培,杨叔子.应用于故障诊断的SVM理论研究[J].振动.测试与诊断,2001,21(4):258-262. 被引量:31
  • 2Veropoulosk C C,Cristianini N.Controlling the sensitivity of support vector machines.In:Proceedings of the International Joint Conference on Artificial Intelligence.(IJCA199).Stockholm,Sweden,1999

二级参考文献3

  • 1[1]Veropoulos K, Campbell C, Cristianini N. Controlling the sensitivity of support vector machines. In: Proceedings of the International Joint Conference on Artificial Intelligence. (IJCA199). Stockholm, Sweden, 1999
  • 2[2]Burges C. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery. 1998,2(2):121~167
  • 3[3]D Tax, Dick D D, Duin R P W. Support vector classifiers: a first look. ASCI97. Proc. Third Annual Conference of the Advanced School for Computing and Imaging. Heijen, the Netherlands,1997

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