Decision Level Information Fusion Method for Equipment Diagnosis Based on BP Neural Network

摘要：

Directing to the low precision of single fault diagnosis method,a decision-level information fusion diagnosis system model was proposed to obtain more reliability and more accurate diagnosis,in which,the method based on the BP neural network was applied to the fault diagnosis firstly,and then the D-evidence theory was utilized to partial fusions in diagnostic results,which was acquired in different test-points at the same time.At last,the decision fusion was applied to partial fusions and got the finally diagnostic result.The s suction auction fan fault diagnosis example shows the validity of the decision-level fusion fault diagnosis model,which could reduce the uncertainty of decision and greatly increase the precision of diagnosis.

作者: Rao Hong Fu Mingfu Xie Mingxiang

作者单位: Information Engineering School of Nanchang University,Nanchang,Jiangxi 330031,China Nanchang University,Nanchang,Jiangxi 330031,China College of Mechanical and Energy Engineering,Zhejiang University,Hangzhou 310027,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）