Open AccessStudy on Low-Voltage Distribution Fault Isolation Technology Under Big Data Analysis
Author(s) -
Wei Ren
Publication year - 2019
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 - 10.1088/1742-6596/1314/1/012003
Subject(s) - fault (geology) , isolation (microbiology) , reliability engineering , cluster analysis , fault detection and isolation , power (physics) , fault coverage , voltage , fault indicator , low voltage , computer science , engineering , electronic engineering , electrical engineering , artificial intelligence , electronic circuit , physics , quantum mechanics , seismology , geology , microbiology and biotechnology , actuator , biology
In order to effectively solve the problem of low voltage power distribution fault, large data analysis technology of low-voltage distribution fault isolation technology research, first of all, combined with clustering analysis method for common type of low voltage power distribution fault judgment, and for different fault types characteristics of power distribution fault isolation algorithm, the parameters evaluated targeted fault maintenance, thus effectively completed in low-voltage distribution under the condition of big data analysis research of fault isolation technology. Finally, the experimental results show that this technique is more practical than the traditional fault isolation technique.