| 基于可变风险SVM模型的柴油机故障诊断技术 |
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| 引用本文： | 司爱威,冯辅周,饶国强.基于可变风险SVM模型的柴油机故障诊断技术[J].中国工程机械学报,2012,10(2):216-221,227. |
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| 作者姓名： | 司爱威 冯辅周 饶国强 |
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| 作者单位： | 装甲兵工程学院机械工程系,北京,100072 |
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| 基金项目： | 国家自然科学基金资助项目(51075396) |
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| 摘 要： | 针对传统故障模式识别方法不能区别不同误判所造成损失不同的问题,提出了可变风险支持向量机(SVM)模型,对传统SVM模型的最优分类面进行重新设计,在利用实际数据识别故障的同时融入专家经验,使故障识别结果更具可靠性,该方法已成功应用于柴油机故障诊断.
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| 关 键 词： | 柴油机 故障诊断 可变风险 支持向量机(SVM)模型 |
Fault diagnosis on diesel engines based on variable-risk SVM |
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| SI Ai-wei
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FENG Fu-zhou
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RAO Guo-qiang.Fault diagnosis on diesel engines based on variable-risk SVM[J].Chinese Journal of Construction Machinery,2012,10(2):216-221,227. |
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| Authors: | SI Ai-wei FENG Fu-zhou RAO Guo-qiang |
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| Affiliation: | (Department of Mechanical Engineering,Academy of Armored Force Engineering,Beijing 100072,China) |
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| Abstract: | Due that the traditional fault pattern recognition methods cannot distinguish different losses from misjudgments,the model of variable-risk support vector machines(SVM) is proposed.By redesigning the optimal classification via traditional SVM models,the expert experiences are integrated with the actual data for fault recognition to obtain more feasible fault recognition results.So far,this method has been successfully applied for fault diagnosis on diesel engines. |
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| Keywords: | diesel engine fault diagnosis variable risk model of support vector machine |
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