中国机械工程2011，Vol.22Issue(7)：818-824,7.
基于支持向量机和功率信息的工件在线识别方法
Workpiece Online Identification Method Based on SVM and Power Information
摘要
Abstract
In order to solve the problem that the workpiece machining progress information mainly relied on manual statistics incurring frequent errors in case of mixed category machining, a kind of workpieee online identification method based on SVM algorithm and power information was proposed.At first, through analyzing characteristics of spindle power variation during machining process of workpiece, a group of power curve time domain statistical features, and machining power characteristic parameters were selected to constitute characteristic vector for identifying workpiece. Then characteristic vector samples of various workpieces waiting to be processed were acquired by trial machining,and these vector samples were trained to build up classifiers, which were related to a type of workpiece respectively. During identification stage, characteristic vector of workpiece under machining should be extracted in real time and then compared with each classifier. According to the value of decision-making function, the type of workpiece shall be identified. The test results show that the identification method is of good robustness and generalization and its performance is superior to BP neural network and a template matching algorithm.关键词
作业车间/机械加工/工件识别/机床功率/支持向量机Key words
job shop/ machining/ workpiece identification/ motor power/ support vector machine (SVM)分类
机械制造引用本文复制引用
贺晓辉,鄢萍,刘飞,胡韶华,陈国荣..基于支持向量机和功率信息的工件在线识别方法[J].中国机械工程,2011,22(7):818-824,7.基金项目
国家自然科学基金资助项目(50775228) （50775228）
国家高技术研究发展计划(863计划)资助项目(2007AA040701) （863计划）
教育部"新世纪优秀人才支持计划"项目(NCET-07-0907) （NCET-07-0907）
重庆市重大科技攻关项目(CSTC2007AA2013) （CSTC2007AA2013）
高等学校博士学科点专项科研基金资助项目(20100191120004) （20100191120004）
