Advances in Risk and Reliability Modelling and Assessment

Advances in Risk and Reliability Modelling and Assessment

Proceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024)

Vinod, Gopika; Joshi, N. S.; Varde, Prabhakar V.

Springer Verlag, Singapore

06/2024

895

Mole

9789819730865

15 a 20 dias

Descrição não disponível.
A Support Vector Machine Model for Detection of Transients in Nuclear Reactor.- Reinforcement Learning for Mission Reliability Based Selective Maintenance Optimization.- Role of Ai in Anti-drone Systems: A Review.- Transient Identification in Nuclear Power Plants by Pca Based Neural Networks.- Internal Leakage Diagnosis of a Hydraulic Cylinder Using C-lstm Neural Network.- Assessment of Wind Forecasts from a Numerical Weather Prediction Model for Indian Npp Sites.- Development of Kalman Filter Based Source Term Estimation Model (Stem).- Evaluation of Internal Fire Hazards in Indian Nuclear Power Plants.- A Novel Implementation of Tableau Software for Visualisation of Seismic Data from Himalayan Region.- Time-frequency Analysis of Strong Ground Motions from the 1989 Loma Prieta Earthquake.- Prediction of Effective Duration of Vertical Ground Motions Based on Machine Learning Algorithms.- Rul Estimation of Igbt Modules under Power Cycling Stress.- Reliability and Cost-effectiveness Trade-offs in Hierarchical Industrial Networks.- Investigation of Primary Radiation Damage in Nanocrystalline Tantalum Using Machine-learning Interatomic Potential: An Atomistic Simulation Study.- Performance Evaluation of Silicon Carbide (Sic) Power Mosfets under Gamma Radiation.
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Safety;Risk;Artificial Intelligence;Safety Critical Systems;Complex Systems;Reliability;Machine Learning