Dynamic weighted fusion of multi-source information for large rotating machinery fault prediction

摘要：

Data process of large rotating machinery is in line with basic features of information fusion. The fault deterioration is extracted from the pattern spectrum as the fault feature, and its trend is predicted by the information fusion which is based on the dynamic weighted method for single-sensor and multisensors respectively. Actual example of Beijing Yanshan Petrochemical Co. shows the correction of conclusion.

关键词： large rotahting machinery information fusion fault deterioration dynamlc weighted method

作者: Sun Jianghong Zuo Yunbo Xu Xiaoli

作者单位: School of ElectroMechanical Engineering Beijing Information Science & Technology University Beijing, School of Mechanical & Vehicular Engineering Beijing Institute of Technology Beijing, China Beijing Key Laboratory -Measurement and Control of Mechanical and Electrical System Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1343-1346

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）