Study of fault diagnosis in distribution line based on rough set theory

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 21, Issue 10, 2001, Pages

  Shu, Hong Chun ^a   Sun, Xiang Fei ^a   Si, Da Jun ^a  

^a KUNMING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Decision table; Distribution network; Fault diagnosis; Rough set

Indexed keywords

DECISION TABLES; ELECTRIC FAULT LOCATION; ELECTRIC POWER DISTRIBUTION; ELECTRIC POWER TRANSMISSION NETWORKS; ROUGH SET THEORY;

ELECTRIC POWER DISTRIBUTION NETWORK; FAULT DIAGNOSIS;

ELECTRIC NETWORK ANALYSIS;

EID: 0035494146     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. An evaluation of artificial intelligent technologies for fault diagnosis in power network
2. Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithm
3. Extraction of domain knowledge from databases based on rough set theory
4. A new approach for fault diagnosis and alarm processing in power system based on rough set theory