| 基于粗糙集与支持向量机的发动机故障诊断研究 |
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| 引用本文： | 周瑞,杨建国.基于粗糙集与支持向量机的发动机故障诊断研究[J].内燃机学报,2006,24(4):379-383. |
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| 作者姓名： | 周瑞 杨建国 |
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| 作者单位： | 1. 哈尔滨工业大学,能源与动力工程学院,黑龙江,哈尔滨,150001
2. 哈尔滨工业大学,汽车工程学院,山东,威海,264209 |
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| 摘 要： | 在提取发动机气门机构故障特征的基础上,提出了采用粗糙集和支持向量机相结合的故障诊断方法。首先,基于粗糙集理论对故障诊断决策表进行属性约简,然后在最优决策属性的基础上使用支持向量机分类器对故障进行分类。实际诊断结果验证了采用粗糙集与支持向量机相结合的方法对故障进行诊断的可行性与有效性。
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| 关 键 词： | 粗糙集 支持向量机 故障诊断 发动机 |
| 文章编号： | 1000-0909（2006）04-0379-05 |
| 收稿时间： | 2005-12-24 |
| 修稿时间： | 2005年12月24 |
The Research of Engine Fault Diagnosis Based on Rough Sets and Support Vector Machine |
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| ZHOU Rui,YANG Jian-guo.The Research of Engine Fault Diagnosis Based on Rough Sets and Support Vector Machine[J].Transactions of Csice,2006,24(4):379-383. |
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| Authors: | ZHOU Rui YANG Jian-guo |
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| Affiliation: | 1. School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China; 2. School of Automobile Engineering, Harbin Institute of Technology, Weihai 264209, China |
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| Abstract: | Based on fault feature extraction from engine valve-train,a new hybrid scheme of rough sets and support vector machine for fault diagnosis was proposed.Firstly,reduction was done based on rough sets theory,and the optimal diagnostic decision table was determined.Secondly,based on the optimal de- cision attributes,support vector machine classifier was used for fault classification.The results demon- strate that this method is efficient and feasible to fault diagnosis. |
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| Keywords: | Rough sets Support vector machine Fault diagnosis Engine |
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