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Volumn 35, Issue 10, 2010, Pages 42-47

Distributed power system fault diagnosis based on Bayesian network and dempster-shafer evidence theory

Author keywords

Bayesian network; Cascading trip; Dempster Shafer evidence theory; Distributed fault diagnosis; Power grid

Indexed keywords

ANALYSIS METHOD; CASCADING TRIP; COINCIDENCE DEGREE; D S EVIDENCE THEORY; DEMPSTER SHAFER EVIDENCE THEORY; DISTRIBUTED DIAGNOSIS; DISTRIBUTED POWER SYSTEMS; FAULT DIAGNOSIS MODEL; FAULT ZONE; GEOMETRIC MEAN; GEOMETRIC MEAN METHOD; POWER GRIDS; SEGMENTATION METHODS; SUB-GRIDS;

EID: 79959199171     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (27)

References (9)
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    • Wu, X.1    Guo, C.2
  • 6
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    • Power system fault diagnosis based on Bayesian network and fault section location
    • HE Xiaofei, TONG Xiaoyang, ZHOU Shu. Power system fault diagnosis based on Bayesian network and fault section location[J]. Power System Protection and Control, 2010, 38(13): 29-34.
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  • 7
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  • 8
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    • ZHOU Yulan, WANG Junyong, SHU Zhihuai, et al. Statistics and analysis of operation situation of protective relayings and automation devices of power system in China in 2002[J]. Power System Technology, 2003, 27(9): 55-60.
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    • Zhou, Y.1    Wang, J.2    Shu, Z.3
  • 9
    • 33645187375 scopus 로고    scopus 로고
    • Statistic analysis on China electric reliability in 2002
    • WU Yupeng, CHEN Lijuan, WANG Peng, et al. Statistic analysis on China electric reliability in 2002[J]. Electric Power, 2002, 36(5): 1-7.
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    • Wu, Y.1    Chen, L.2    Wang, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.