| SVM在缸套—活塞磨损状态监测中的应用研究 |
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| 引用本文： | 王静,刘焜,王伟,胡兆稳.SVM在缸套—活塞磨损状态监测中的应用研究[J].车用发动机,2010(2). |
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| 作者姓名： | 王静 刘焜 王伟 胡兆稳 |
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| 作者单位： | 合肥工业大学机械与汽车工程学院,安徽,合肥,230009 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，合肥工业大学科学研究发展基金 |
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| 摘 要： | 以发动机振动信号的5个时域及幅域特征(二次矩、四次矩、最大绝对值、时间二次矩和最大幅值点)为特征参数,以4类间隙值作为预测结果,建立了基于RBF核函数支持向量机(SVM)的缸套—活塞磨损间隙预测模型。通过仿真试验研究了核宽度σ和惩罚系数C对分类器性能的影响,结果表明,选择合适的σ和C值可以使分类器的性能达到最佳,为缸套—活塞磨损状态监测提供了一条新思路。
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| 关 键 词： | 缸套 活塞 磨损 监测 支持向量机 分类器 |
Application of SVM in Cylinder Liner-piston Wear State Inspection |
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| WANG Jing,LIU Kun,WANG Wei,HU Zhao-wen.Application of SVM in Cylinder Liner-piston Wear State Inspection[J].Vehicle Engine,2010(2). |
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| Authors: | WANG Jing LIU Kun WANG Wei HU Zhao-wen |
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| Institution: | WANG Jing,LIU Kun,WANG Wei,HU Zhao-wen(School of Machinery , Automobile Engineering,Hefei University of Technology,Hefei 230009,China) |
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| Abstract: | Taking the time domain features consisting of second-order moment,fourth-order moment,maximal absolute value and time second-order moment and amplitude domain feature,which was maximal amplitude,of engine vibration signal as feature parameters,the wear clearance prediction model of cylinder liner-piston based on support vector machine(SVM) with RBF kernel was designed by taking four clearances as the SVM recognition results.Through the simulation,the influences of kernel parameter and penalty coefficient on... |
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| Keywords: | cylinder liner piston wear inspection support vector machine classifier |
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