Advances in Risk and Reliability Modelling and Assessment : Proceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024) (Lecture Notes in Mechanical Engineering)

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Advances in Risk and Reliability Modelling and Assessment : Proceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024) (Lecture Notes in Mechanical Engineering)

Varde, Prabhakar V. (EDT)/ Vinod, Gopika (EDT)/ Joshi, N. S. (EDT)

ウェブストア価格 ¥40,548（本体¥36,862）
Springer Nature（2024/07発売）
外貨定価 US$ 199.99
ポイント 368pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 828 p.
言語 ENG
商品コード 9789819730865

Full 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.

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.