Open AccessResearch on fault diagnosis method of 750kV substation based on Bayesian network and fault recording information fusion
Author(s) -
Poli Shang,
Haiying Dong,
Xiaonan Li,
Wei Ren
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/5/052020
Subject(s) - fuse (electrical) , fault (geology) , bayesian network , information fusion , computer science , bayesian probability , data mining , reliability engineering , real time computing , artificial intelligence , engineering , electrical engineering , seismology , geology
Aiming at the complexity of the 750kV substation system and the uncertainty of the fault information, this paper studies the fault diagnosis method of Bayesian network and fault recording information. In order to solve the problem of single-source, DS evidence theory is used to fuse the two diagnosis results. Through case analysis, it is proved that the method can effectively improve the accuracy of fault diagnosis.