Application of Multi-sensor Information Fusion in Fault Diagnosis of Rotating Machinery

摘要：

The typical faults of rotating machinery include unbalance, misalignment, bearing housing looseness, etc. The experimental rotor-bearing system is built and multi-sensor information fusion based on D-S evidence theory is applied in the fault diagnosis of rotating machinery. The fault type is determined through the fusion results and from the research it can be concluded that this approach is more effective, accurate and reliable than that of single sensor.

关键词： multi-sensor information fusion fault diagnosis rotating machinery

作者: Ke Guan Tao Mei Deji Wang

作者单位: Institute of Intelligent machines, China Academy of Science Hefei 230031,China Institute of Intelligent machines,China Academy of Science Hefei 230031,China;Department of Automati

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 425-429

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）