Abnormal State Detection of Production System Based on the Support Vector Data Description
Abnormal state detection is very helpful for managers to find production systems uncommon conditions timely,it can greatly reduce potential loss and increase the enterprises economic profits. to improve the work quality,this thesis puts forward an abnormal state detection model;the model is based on the theory of support vector data description. Firstly the production systems evaluation indexes are defined,and the thesis points out that for different types of production system,the indexes may be quite different. Secondly,the relative abnormal state detection model is built,and then,the thesis briefs the basic theory of support vector data description. Thirdly,the production systems abnormal state detection model is built and verified by an experiment. The result of the experiment shows that the model proposed by the thesis is effective and helpful.
Production system abnormal state detection support vector description
Liang Quan Guo-shuang Tian
College of Economics and Management,North-east Forestry University,Harbin 150040,P.R.China
国际会议
北京
英文
1084-1088
2009-10-21（万方平台首次上网日期，不代表论文的发表时间）