Grey Rough Sets Hybrid Scheme for Intelligent Fault Diagnosis

摘要：

This paper introduces a hybrid scheme that combines the advantages of grey relation analysis and rough sets for fault diagnosis. The introduced scheme starts with reduce superfluous attributes and quantitatively determine the relative importance of the attributes, and then grey correlation analysis is used to calculate the grey correlation degree of all the standard fault states with respect to the current state according to reduced attributes and their relative importance, so that the fault can be found. We develop a graphical user interface of the prototype based on Matlab7.1 to test the proposed method. The experimental results show that the hybrid scheme applied in this study performs well and lays the foundation for the intelligent fault diagnosis.

作者: Wei Jiang Xiaoqiang Zhong Jiyang Qi Changan Zhu

作者单位: University of Science and Technology of China, P.O. Box 4, Hefei, China, 230026

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）