CONDITION ANALYSIS FOR DEH REGULATING SYSTEM BASED ON CHARACTERISTIC EXTRACTION AND INFORMATION FUSION

摘要：

Aiming at the problem that the system of DEH regulation system is complex and difficult to analyze its condition, a method based on characteristic extraction and information fusion is proposed.By making RCM analysis, the indexes for quantitative risk evaluation of fauN modes are determined, and the fuzzy rule base for risk evaluation is built Using fuzzy inference, the system fault modes are ranked according to their risk level.Then, the condition characteristic parameters are extracted according to the pivot fault modes.Using the extracted characteristic parameters, an information fusion method based on evidence theory is put forward to evaluate the systems condition.It is shown by the instance that this method is feasible and effective and the condition analysis results can be used as a support for next maintenance decisions.

关键词： DEH regulating system Condition analysis Information fusion Characteristic extraction RCM

作者: YU-LIANG DONG YU-JIONG GU

作者单位: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of Ministry of Education, North China Electric Power University, Beijing 102206, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 2627-2632

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）