Fault diagnosis using fuzzy sets

Citation
Ahf. Insfran et al., Fault diagnosis using fuzzy sets, ENG INTEL S, 7(4), 1999, pp. 177-182
Citations number
10
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS
ISSN journal
14728915 → ACNP
Volume
7
Issue
4
Year of publication
1999
Pages
177 - 182
Database
ISI
SICI code
1472-8915(199912)7:4<177:FDUFS>2.0.ZU;2-#
Abstract
After a severe disturbance due to an electrical failure, the precise fault location is a critical problem for power system reconfiguration. It is not possible to start the reconfiguration procedures without knowing the distur bance origin and cause. Therefore, the fault diagnosis has to be performed as soon as possible in order to avoid further economical and social costs. In this paper, a new approach for fault diagnosis, using fuzzy sets, is pro posed. The system allows not only the fault location, but also the fault ty pe identification. Currents and voltages are analyzed using the fault phase -impedance and fuzzy sets. The system is part of an operator guidance tool that has been developed for the itaipu hydroelectric plant.