Advances in Risk and Reliability Modelling and Assessment Proceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024) / [electronic resource] :
edited by Prabhakar V. Varde, Gopika Vinod, N. S. Joshi.
- 1st ed. 2024.
- XVIII, 895 p. 407 illus., 339 illus. in color. online resource.
- Lecture Notes in Mechanical Engineering, 2195-4364 .
- Lecture Notes in Mechanical Engineering, .
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.
This book presents the proceedings of the 5th International Conference on Reliability Safety & Hazard-2024, held in Mumbai during February 21–24, 2024. It covers the latest advances in artificial intelligence and machine learning in development of risk-conscious culture. Various topics covered in this volume are reliability prediction, precursor event analysis, fuzzy reliability, structural reliability, passive system reliability, digital system reliability, risk-informed approach to decision making, dynamic PSA, uncertainty and sensitivity modeling, among others. The book is a valuable resource for researchers and professionals working in both academia and industry in the areas of complex systems, safety-critical systems, and risk-based engineering.