Research on the classification of surrounding rock quality in the Longyou Grottoes based on the D-S evidence theory

2014 ◽  
Vol 7 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Jiatang Cheng ◽  
Li Ai ◽  
Zhimei Duan ◽  
Yan Xiong

Aiming at the problem of the conventional vibration fault diagnosis technology with inconsistent result of a hydroelectric generating unit, an information fusion method was proposed based on the improved evidence theory. In this algorithm, the original evidence was amended by the credibility factor, and then the synthesis rule of standard evidence theory was utilized to carry out information fusion. The results show that the proposed method can obtain any definitive conclusion even if there is high conflict evidence in the synthesis evidence process, and may avoid the divergent phenomenon when the consistent evidence is fused, and is suitable for the fault classification of hydroelectric generating unit.


2020 ◽  
Vol 57 (18) ◽  
pp. 182803
Author(s):  
赵宗泽 Zhao Zongze ◽  
王宏涛 Wang Hongtao ◽  
王成 Wang Cheng ◽  
王双亭 Wang Shuangting ◽  
王春阳 Wang Chunyang

2013 ◽  
Vol 347-350 ◽  
pp. 3728-3733
Author(s):  
Li Jia ◽  
Hai Yan ◽  
Guo Hui Li ◽  
Hui Zhang

This paper presents a novel Dempster-Shafer evidence construction approach for aircraft aim recognition. The prior-probability of the properties of aircraft was used for establishing a probabilistic argumentation system. Dempster-Shafer evidence was constructed by assumption-based reasoning. Therefore, additional information could be provided to the classification of the data fusion system. Experiments on artificial and real data demonstrated that the proposed method could improve the classification results.


2008 ◽  
Author(s):  
Mi Chen ◽  
Yingchun Fu ◽  
Tao Sun ◽  
Deren Li ◽  
Qianqing Qin

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