| SVM在船舶柴油机故障检测系统中的应用研究 |
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| 引用本文： | 高涛.SVM在船舶柴油机故障检测系统中的应用研究[J].机电设备,2007,24(7):26-30. |
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| 作者姓名： | 高涛 |
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| 作者单位： | 上海海事大学,商船学院,上海,200135 |
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| 摘 要： | 支持向量机(Support Vector Machine,简称SVM)是目前模式识别领域中最先进的机器学习算法,采用了核函数的思想,把非线性空间的问题转换到线性空间,降低了算法的复杂度.文中对SVM在船用柴油机故障诊断中的应用进行了论述,运用支持向量机理论对其进行了故障诊断的仿真研究和试验研究.
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| 关 键 词： | 支持向量机 核函数 故障检测 船用柴油机 |
| 文章编号： | 1005-8354（2007）07-0026-05 |
| 修稿时间： | 2007-05-14 |
Study on the application of SVM in the fault diagnosis system of marine main engine |
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| GAO Tao.Study on the application of SVM in the fault diagnosis system of marine main engine[J].Mechanical and Electrical Equipment,2007,24(7):26-30. |
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| Authors: | GAO Tao |
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| Institution: | Merchant Marine College, Shanghai Maritime University, Shanghai 200135, China |
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| Abstract: | SVM(Support Vector Machine) is the most advanced machine learning algorithm in the field of the pattern recognition. Applying the Kernel function idea,this theory can change the problem in non-linearity space to that in the linearity space in order to reduce the algorithm complexity. In this paper, the applications of SVM in the fault diagnosis of marine main engine are discussed. Simulation research and experimental research of fault diagonosis by using SVM theory are carried on. |
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| Keywords: | support vector machines kernel function fault diagnosis marine engine |
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