| 支持向量机在发动机故障诊断中的应用研究 |
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| 引用本文： | 赵杰,王久凤.支持向量机在发动机故障诊断中的应用研究[J].拖拉机与农用运输车,2009,36(5):126-128. |
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| 作者姓名： | 赵杰 王久凤 |
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| 作者单位： | 赵杰(一汽轿车股份有限公司,长春,130011);王久凤(一汽解放汽车有限公司,长春,130011) |
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| 摘 要： | 鉴于支持向量机(SVM)的优越性及汽车发动机的故障特点,本文提出将支持向量机应用到发动机故障的智能诊断中。该方法专门针对小样本集合设计,能够在小样本情况下获得较大的推广能力,而且模型简单。首先对采集的故障信号采取信息融合方式进行特征提取,以获得特征向量。在此基础上通过多分类支持向量机对发动机故障进行分类测试,建立了故障诊断模型。试验结果表明:该方法具有较高的诊断精度,达到了发动机的故障诊断要求。
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| 关 键 词： | 支持向量机 信息融合 故障诊断 汽车发动机 |
Study on Application of Support Vector Machine in Engine Fault Diagnosis |
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| Abstract: | In view of the superiority of support vector machine and the characteristics of the fault engine.A novel fault diagnosis method based on support vector machine is presented in this paper.The method is special designed for small number sample set,and can obtain commendable generalization ability.Firstly feature information is extracted via information combination method.Then support vector machine is adopted to realize pattern recognition and correlation.Finally on the basis of this,the fault diagnosis model is established through the multi-class SVM.The method ensures the higher accuracy in the diagnosis.The results are satisfactory and it is proved that this method is effective and commendable. |
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| Keywords: | Support vector machine Information combination Fault diagnosis Automotive engine |
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