Condition Monitoring System Design with One-class and Imbalanced-Data Classifier
As machines condition plays a central role in todays manufacturing industry for assuring process stability and productivity,it is crucial to efficiently monitor the machine status to acquire desired performance. However,in many practical applications,due to economic and technical difficulties,there is only normal operating data or small amount of faulty data available,which will render classic classifiers unusable for this case. to address this problem,this paper presents a design of condition monitoring system with one-class classifier and classifier for im balanced data. Based on the general description of condition monitoring-system,support vector data description (SVDD) and Mahalanobis-Distance Threshold (MDT) are introduced as one-class classifier and classifier for imbalanced data,respectively. Then they are embedded into a design of condition monitoring system in LabVIEW software and hardware configuration,and a prototype is then developed to show the rationality and feasibility of the design idea.
Classifier for imbalanced data condition monitoring system Mahalanobis-distance threshold one class classifier support vector data description
Shijin Wang Lifeng Xi
Department of Management Science and Engineering,School of Economics & anagement,Tongji University,S Department of Industrial Engineering and Logistic Engineering,School of Mechanical Engineering,Shang
国际会议
北京
英文
779-783
2009-10-21（万方平台首次上网日期，不代表论文的发表时间）