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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.
Springer Nature - Springer Physics and Astronomy eBooks 2024 English International Available online
View online- Format:
- Book
- Author/Creator:
- Varde, Prabhakar V.
- Series:
- Lecture Notes in Mechanical Engineering, 2195-4364
- Language:
- English
- Subjects (All):
- Security systems.
- Computers.
- Mathematical models.
- Engineering mathematics.
- Engineering--Data processing.
- Engineering.
- Security Science and Technology.
- Hardware Performance and Reliability.
- Mathematical Modeling and Industrial Mathematics.
- Mathematical and Computational Engineering Applications.
- Local Subjects:
- Security Science and Technology.
- Hardware Performance and Reliability.
- Mathematical Modeling and Industrial Mathematics.
- Mathematical and Computational Engineering Applications.
- Physical Description:
- 1 online resource (854 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- 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.
- 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.
- ISBN:
- 981-9730-87-2
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