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2009 Second International Symposium on Computational Intelligence and Design
The Application of Improved D-S Evidence Theory to Single-Phase Fault Line Selection
Changsha, Hunan, China
December 12-December 14
ISBN: 978-0-7695-3865-5
ASCII Text
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Jianjun Zhao, Weixing Xu, Yandong Hou, Hongliang Tian, Xin Li, "The Application of Improved D-S Evidence Theory to Single-Phase Fault Line Selection," Computational Intelligence and Design, International Symposium on, vol. 2, pp. 193-196, 2009 Second International Symposium on Computational Intelligence and Design, 2009.
 
 
BibTex
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@article{ 10.1109/ISCID.2009.196,
author = {Jianjun Zhao and Weixing Xu and Yandong Hou and Hongliang Tian and Xin Li},
title = {The Application of Improved D-S Evidence Theory to Single-Phase Fault Line Selection},
journal ={Computational Intelligence and Design, International Symposium on},
volume = {2},
year = {2009},
isbn = {978-0-7695-3865-5},
pages = {193-196},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISCID.2009.196},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Intelligence and Design, International Symposium on
TI - The Application of Improved D-S Evidence Theory to Single-Phase Fault Line Selection
SN - 978-0-7695-3865-5
SP193
EP196
A1 - Jianjun Zhao,
A1 - Weixing Xu,
A1 - Yandong Hou,
A1 - Hongliang Tian,
A1 - Xin Li,
PY - 2009
KW - D-S evidence theory; reliability; correlation; information entropy
VL - 2
JA - Computational Intelligence and Design, International Symposium on
ER -
 
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.
Index Terms:
D-S evidence theory; reliability; correlation; information entropy
Citation:
Jianjun Zhao, Weixing Xu, Yandong Hou, Hongliang Tian, Xin Li, "The Application of Improved D-S Evidence Theory to Single-Phase Fault Line Selection," iscid, vol. 2, pp.193-196, 2009 Second International Symposium on Computational Intelligence and Design, 2009
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