Advances in Risk and Reliability Modelling and Assessment
Proceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024)
Series: Lecture Notes in Mechanical Engineering;
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Product details:
- Edition number 2024
- Publisher Springer Nature Singapore
- Date of Publication 1 June 2024
- Number of Volumes 1 pieces, Book
- ISBN 9789819730865
- Binding Paperback
- No. of pages895 pages
- Size 235x155 mm
- Language English
- Illustrations XVIII, 895 p. 407 illus., 339 illus. in color. Illustrations, black & white 567
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Long description:
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.
MoreTable of Contents:
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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