Study on State Inspection and Fault Prediction System for Electric Plant Based on Real Time Data Mining

摘要：

Fault prediction is a core problem for predictive maintenance. Predictive maintenance is a new branch in maintenance research field, and it can cut down a large number expenses that cost in prevent maintenance, and reduces the time of stop machines. The key problem of fault prediction is to acquire state data of the devices continuously. Build the system state reliability models according to the state data, and to determine the devices whether failure or not in next time via the models. In the paper, the principle of fault models building and the method of state data mining is discussed in details, fault prediction method and the key problems are described in details too.

关键词： state inspection fault prediction data mining electric plant management information system boiler

作者: WU Kehe WANG Yuefang CHEN Shengjian

作者单位: department of computer, North China Electric Power University, Beijing 102206 department of information, Armored Force Engineering Institute, Beijing 100072

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）