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T. V. Santhosh
Tytuł
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Application of artificial neural networks to nuclear power plant transient diagnosis
TV Santosh, G Vinod, RK Saraf, AK Ghosh, HS Kushwaha
Reliability Engineering & System Safety 92 (10), 1468-1472, 2007
1382007
Optimum step length selection rule in modified HL–RF method for structural reliability
TV Santosh, RK Saraf, AK Ghosh, HS Kushwaha
International Journal of Pressure Vessels and Piping 83 (10), 742-748, 2006
1062006
Diagnostic system for identification of accident scenarios in nuclear power plants using artificial neural networks
TV Santosh, A Srivastava, VVSS Rao, AK Ghosh, HS Kushwaha
Reliability Engineering & System Safety 94 (3), 759-762, 2009
872009
An approach for reliability prediction of instrumentation & control cables by artificial neural networks and Weibull theory for probabilistic safety assessment of NPPs
TV Santhosh, V Gopika, AK Ghosh, BG Fernandes
Reliability Engineering & System Safety 170, 31-44, 2018
632018
A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants
D Tian, J Deng, G Vinod, TV Santhosh, H Tawfik
Neurocomputing 322, 102-119, 2018
382018
Reliability analysis of pipelines carrying H2S for risk based inspection of heavy water plants
G Vinod, OP Shrivastava, RK Saraf, AK Ghosh, HS Kushwaha
Reliability Engineering & System Safety 91 (2), 163-170, 2006
372006
Robust on-line diagnosis tool for the early accident detection in nuclear power plants
S Tolo, X Tian, N Bausch, V Becerra, TV Santhosh, G Vinod, E Patelli
Reliability Engineering & System Safety 186, 110-119, 2019
352019
A study on the robustness of neural network models for predicting the break size in LOCA
X Tian, V Becerra, N Bausch, TV Santhosh, G Vinod
Progress in Nuclear Energy 109, 12-28, 2018
262018
A diagnostic system for identifying accident conditions in a nuclear reactor
TV Santhosh, M Kumar, I Thangamani, A Srivastava, A Dutta, V Verma, ...
Nuclear engineering and design 241 (1), 177-184, 2011
262011
New approach for risk based inspection of H2S based process plants
G Vinod, PK Sharma, TV Santosh, MH Prasad, KK Vaze
Annals of Nuclear Energy 66, 13-19, 2014
182014
Integrating safety critical software system in probabilistic safety assessment
G Vinod, TV Santosh, RK Saraf, AK Ghosh
Nuclear engineering and design 238 (9), 2392-2399, 2008
162008
Remaining life prediction of I&C cables for reliability assessment of NPP systems
TV Santhosh, AK Ghosh, BG Fernandes
Nuclear engineering and design 245, 197-201, 2012
92012
Development of a BN framework for human reliability analysis through virtual simulation
V Garg, TV Santhosh, PD Antony, G Vinod
Life Cycle Reliability and Safety Engineering 6, 223-233, 2017
72017
Diagnostic system for identification of accident scenarios in nuclear power plants
TV Santhosh, A Srivastava, VVSS Rao, AK Ghosh, HS Kushwaha
Reliability Engineering and System Safety 94 (3), 759-762, 2009
62009
A Bayesian network approach for the quantitative assessment of resilience of critical systems
TV Santhosh, E Patelli
Proceedings of the 30th European Safety and Reliability Conference and the …, 2020
52020
A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants
D Tian, J Deng, G Vinod, TV Santhosh, H Tawfik
Applications of Big Data Analytics: Trends, Issues, and Challenges, 43-61, 2018
52018
Reliability prediction of I&C cable insulation materials by DSC and Weibull theory for probabilistic safety assessment of NPPs
TV Santhosh, V Gopika, AK Ghosh, BG Fernandes, KA Dubey
Nuclear Engineering and Design 296, 51-61, 2016
52016
Simulation Methods for the Analysis of Complex Systems
H George-Williams, TV Santhosh, E Patelli
Uncertainty in Engineering Introduction to Methods and Applications, 95, 2022
42022
Measurement of light output response in scintillator based neutron detectors using quasi-monoenergetic neutrons
AS Roy, K Banerjee, P Roy, S Seth, TK Rana, A Sen, D Pandit, S Kundu, ...
Journal of Instrumentation 16 (07), P07045, 2021
42021
Uncertainty quantification methods for neural networks pattern recognition
S Tolo, TV Santhosh, G Vinod, U Oparaji, E Patelli
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
42017
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