Failure probabilistic model of CNC lathe based on support vector machine

摘要：

In this paper, support vector machine (SVM) have been applied to the failure probabilistic model of CNC lathe, and two methodologies (SVM and least square method) have been compared for the analysis of the failure data collected from eighty CNC lathes. The proposed failure probabilistic model based on SVM was more accurate and reliable than that of least square. Hence, the more accurate mean time between failures (MTBF) and failure rate (λ(t)) have been obtained, which aid to deeply understand the reliability status of CNC lathe.

关键词： CNC lathe failure probabilistic model support vector machine

作者: Xiu-HuaYuan Yi-Qiang Wang Yan-Juan Hu

作者单位: College of Mechanical Science and Engineering,Jilin University Changchun,China College of Mechanical Science and Engineering,Jilin University Changchun,China College of Mechanical

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 322-325

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）