Classifying faults in high voltage power systems: A rough-fuzzy neural computational approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1711, Issue , 1999, Pages 47-54

  Han, L ^a   Peters, J F ^a   Ramanna, S ^a   Zhai, R ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

Approximation; Calibration; Classification; Faults; Fuzzy sets; High voltage power system; Neural network; Rough neuron; Rough sets

Indexed keywords

APPROXIMATION ALGORITHMS; CALIBRATION; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; DATA MINING; FAST FOURIER TRANSFORMS; FAULT DETECTION; FAULTING; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SETS; LEARNING SYSTEMS; NEURAL NETWORKS; ROUGH SET THEORY; SOFT COMPUTING;

AMPLITUDE ESTIMATION; APPROXIMATION; COMPUTATIONAL APPROACH; FUZZY-NEURAL; HIGH-VOLTAGE POWER SYSTEMS; LEARNING PERFORMANCE; NEURAL COMPUTING; ROUGH NEURON;

FUZZY LOGIC;

EID: 84958058027     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48061-7_8     Document Type: Conference Paper

References (8)

1. P.J. Lingras, Rough neural networks. In: Proc. of the 6th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU’96), Granada, Spain, 1996, 1445-1450.
2. P.J. Lingras, P. Osborne, Unsupervised learning using rough Kohonen neural network classifiers. In: Proc. Symposium on Modelling, Analysis and Simulation (CESA’96), Lille, France, 1996, 753-757.
3. P.J. Lingras, Comparison of neofuzzy and rough neural networks. In: Proc. of the 5th Int. Workshop on Rough Sets and Soft Computing (RSSC’97), Durham, NC, March 1997.
4. P.J. Lingras, Applications of rough patterns. In: Rough Sets in Knowledge Discovery edited by L. Polkowski and A. Skowron. Physica Verlag, a division of Springer Verlag, vol. 2, 1998, 369-384.
5. L. Han, R. Menzies, J.F. Peters, L. Crowe, High voltage power fault-detection and analysis system: Design and implementation. Proc. CCECE99, 1253-1258.
6. Z. Pawlak. Reasoning about data--A rough set persepective. Lecture Notes in Artificial Intelligence 1424, L. Polkowski and A. Skowron (Eds.). Berlin, Springer-Verlag, 1998, 25-34.
7. J. Komorowski, Z. Pawlak, L. Polkowski, A. Skowron, Rough sets: A tutorial. In: S.K. Pal, A. Skowron (Eds.), Rough Fuzzy Hybridization: A New Trend in Decision-Making. Singapore: Springer-Verlag, 1999, 3-98.
8. W. Pedrycz, J.F. Peters, Learning in fuzzy Petri nets, in Fuzziness in Petri Nets edited by J. Cardoso and H. Scarpelli. Physica Verlag, a division of Springer Verlag, 1998.