Research Article
Multi-dimensionless Parameters Fusion Method Based on Improved D-S Evidence Theory
@INPROCEEDINGS{10.4108/icst.chinacom.2014.256444, author={Aisong Qin and Qin Hu and Qinghua Zhang and Guoxi Sun and Longqiu Shao}, title={Multi-dimensionless Parameters Fusion Method Based on Improved D-S Evidence Theory}, proceedings={9th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={1}, keywords={fault diagnosis; dimensionless parameter; prior weight; posterior weight; fusion decision}, doi={10.4108/icst.chinacom.2014.256444} }- Aisong Qin
Qin Hu
Qinghua Zhang
Guoxi Sun
Longqiu Shao
Year: 2015
Multi-dimensionless Parameters Fusion Method Based on Improved D-S Evidence Theory
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256444
Abstract
Aiming at the invalidation problem of Dempster-Shafer evidence combination rule with high conflict, a fault diagnosis method of multi-dimensionless parameters information fusion based on novel D-S algorithm improved by the weighted concept is proposed. Firstly, prior weights are obtained by the basis of inherent reliability of multi-dimensionless parameters diagnosis information, and a similarity matrix between evidences is constructed as posterior weights. Then the prior weights and posterior weights are combined regarded as the weight coefficient of the evidence and evidences are weighted with these weight coefficients. Finally the D-S evidence theory is used to fuse the weighted evidences and the final diagnosis result can be obtained. The experimental results demonstrated that, compared with other methods, the new algorithm can improve accuracy of fault diagnosis and reduce influence of conflict evidence effectively.