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Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
ISBN-10:
0791802442
No. of Pages:
2576
Publisher:
ASME Press
Publication date:
2006
eBook Chapter
137 Predicting the Resistance of Power Cables to Flame Propagation by Neural Networks (PSAM-0069)
By
M. Marseguerra
Department of Nuclear Engineering, Polytechnic of Milan Via Ponzio 34/3, 20133 Milano , Italy . Marzio.Marseguerra@polimi.it
,
M. Marseguerra
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E. Zio
Department of Nuclear Engineering, Polytechnic of Milan
,
E. Zio
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P. Baraldi
Department of Nuclear Engineering, Polytechnic of Milan
P. Baraldi
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Page Count:
9
-
Published:2006
Citation
Marseguerra, M, Zio, E, & Baraldi, P. "Predicting the Resistance of Power Cables to Flame Propagation by Neural Networks (PSAM-0069)." Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM). Ed. Stamatelatos, MG, & Blackman, HS. ASME Press, 2006.
Download citation file:
In this work the prediction of the resistance of power cables to flame propagation is addressed. This is a very important safety issue in several critical installments, such as the nuclear power plants. In this respect, two issues are of fundamental safety importance: i) cables that supply electric power to safety systems must work also in case of fire; ii) cables must not provide a means of propagation of the fire throughout the nuclear power plant. To verify this second issue, large scale tests are performed according to different international standards. These tests, done in suitable laboratories with controlled atmosphere,...
Abstract
1. Introduction
2. Flame Propagation Resistance Tests
3. Multi-Layered, Feed-Forward Neural Networks
4. Definition of the Prediction Model
5. Conclusions
References
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