Presentation Title：Time series data mining and its application on the condition evaluation of electrical equipment
Abstract: With the rapid increasing of the data collected from different fields, the data mining techniques have attracted researchers’ attention. In this presentation, we focus on time series data mining technique and its application on the condition evaluation of electrical equipment. First of all, the concept and development of time series data mining technique and electrical equipment condition evaluation are briefly introduced. The general framework of how to perform condition evaluating on electrical equipment using data mining technique is presented in detail. Then, three data mining models, named TDPCR, IVDPC,CMBCF are discussed, which are used to represent the massive raw data in lower dimension, to cluster objects into different groups and to predict the forthcoming change of the target variables respectively. After reviewing these models, we move on the application case in which these models are properly applied. In the end, some future works are listed and discussed.