1.

Record Nr.

UNINA9910865289303321

Autore

Varde Prabhakar V

Titolo

Advances in Risk and Reliability Modelling and Assessment : Proceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024) / / edited by Prabhakar V. Varde, Gopika Vinod, N. S. Joshi

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024

ISBN

981-9730-87-2

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (854 pages)

Collana

Lecture Notes in Mechanical Engineering, , 2195-4364

Altri autori (Persone)

VinodGopika

JoshiN. S

Disciplina

621

Soggetti

Security systems

Computers

Mathematical models

Engineering mathematics

Engineering - Data processing

Security Science and Technology

Hardware Performance and Reliability

Mathematical Modeling and Industrial Mathematics

Mathematical and Computational Engineering Applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.