@inproceedings{0d5368f8070941fe88d0a6e6fdb085d6,
title = "Fast and reliable fault analysis in complex power systems",
abstract = "Neural network approaches to the design of diagnosis systems for electrical networks have to cope with serious problems derived from the large size of such systems, which makes modularity the obvious solution. A modular approach which is based on functional criteria and provides scalability and adaptability to topological changes is presented. The hypotheses generated by the neural system are justified by a competitive system which detects simple or simultaneous disturbances. This approach allows for a parallel, distributed implementation.",
keywords = "Fault Diagnosis, Modularity, Neural Networks, Power Systems",
author = "C. Rodr{\'i}guez and Mart{\'i}n, \{J. I.\} and C. Ruiz and A. Lafuente and S. Rementer{\'i}a and J. P{\'e}rez and J. Muguerza",
note = "Publisher Copyright: {\textcopyright} 1993 IEEE.; 2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993 ; Conference date: 19-04-1993 Through 22-04-1993",
year = "1993",
doi = "10.1109/ANN.1993.264356",
language = "English",
series = "Proceedings of the 2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "14--19",
editor = "Y. Tamura and H. Suzuki and H. Mori",
booktitle = "Proceedings of the 2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993",
address = "United States",
}