Title :
The Application of Improved D-S Evidence Theory to Single-Phase Fault Line Selection
Author :
Zhao, Jianjun ; Xu, Weixing ; Hou, Yandong ; Tian, Hongliang ; Li, Xin
Author_Institution :
Inst. of Adv. Control & Intell. Inf. Process., Henan Univ., Kaifeng, China
Abstract :
To overcome the poor accuracy of fault line selection in small current grounded system, which induced by the reliability of symptom and the correlation symptom terms, a novel fault line selection method is proposed based on improved D-S evidence theory in the paper. Firstly, the fault line selection model is established based on traditional D-S evidence theory. Secondly, the effective measuring for the reliability of symptom and the correlation symptom terms is solved by information entropy and information capacity. Finally, the novel method is verified by an actual example.
Keywords :
case-based reasoning; entropy; D-S evidence theory; Dempster-Shafer theory; correlation symptom terms; fault line selection model; information capacity; information entropy; single-phase fault line selection; small current grounded system; Circuit faults; Computational intelligence; Control systems; Fault diagnosis; Grounding; Information entropy; Intelligent control; Power generation; Reliability theory; Voltage; D-S evidence theory; correlation; information entropy; reliability;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.196
