RT Conference Proceedings
T1 Fast and reliable fault analysis in complex power systems
A1 Rodríguez, C.
A1 Martín, J. I.
A1 Ruiz, C.
A1 Lafuente, A.
A1 Rementería, S.
A1 Pérez, J.
A1 Muguerza, J.
A2 Tamura, Y.
A2 Suzuki, H.
A2 Mori, H.
AB 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.
PB Institute of Electrical and Electronics Engineers Inc.
SN 0780312171
SN 9780780312173
YR 1993
FD 1993
LK https://hdl.handle.net/11556/1494
UL https://hdl.handle.net/11556/1494
LA eng
NO Rodríguez , C , Martín , J I , Ruiz , C , Lafuente , A , Rementería , S , Pérez , J & Muguerza , J 1993 , Fast and reliable fault analysis in complex power systems . in Y Tamura , H Suzuki & H Mori (eds) , Proceedings of the 2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993 . , 264356 , Proceedings of the 2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993 , Institute of Electrical and Electronics Engineers Inc. , pp. 14-19 , 2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993 , Yokohama , Japan , 19/04/93 . https://doi.org/10.1109/ANN.1993.264356
NO conference
NO Publisher Copyright: © 1993 IEEE.
NO This work was partially supported by the CEC funded Esprit
DS TECNALIA Publications
RD 28 jul 2024