Soft Computing and Artificial Intelligence in System Safety and Reliability Analysis
Recent Advances and Perspectives
- 1 Edición - 1 de marzo de 2027
- Última edición
- Editores: Fatemeh Afsharnia, Harish Garg, Mohammad Yazdi, Amit Kumar
- Idioma: Inglés
Soft Computing and Artificial Intelligence in System Safety and Reliability Analysis: Recent Advances and Perspectives provides information in three main fields of safety and re… Leer más
Descripción
Descripción
Soft Computing and Artificial Intelligence in System Safety and Reliability Analysis: Recent Advances and Perspectives provides information in three main fields of safety and reliability including "AI in reliability and safety science", "soft computing applications in safety analysis" and "Operation and Maintenance".
Every topic addressed in the book is complemented by illustrations, which aid with conceptual understanding.
Using this book, all audiences will learn about recent theoretical and methodological advances in ensemble AI-driven metaheuristic optimization algorithms and their applications in all aspects of safety and reliability, soft computing, as well as hybridization of metaheuristics with other soft computing and artificial intelligence tools, and would be able to perform operations like designing, identifying, choosing the best AI-driven algorithms for the safety and reliability analysis, and maintenance optimization.
The main advantage of this book is that all the required and recent knowledge of safety, and reliability is provided in one place without the need to read several books and papers.
Puntos claves
Puntos claves
- Comprehensive information on soft computing and artificial intelligence in different aspects of safety, reliability, and maintenance
- Introductory knowledge on safety, reliability, and maintenance, then applications of soft computing, and artificial intelligence in safety, and reliability, and finally maintenance optimization
- All the required information on safety, reliability, and maintenance in one place in a simple, comprehensive, and compact way
De interès para
De interès para
Engineers who are interested in this field, undergrads or graduates, and operators who use or will use soft computing, and AI in the future
Índice
Índice
1. Quantitative Advances in Reliability Science: Exploring Soft Computing and AI Applications
2. Comparison of statistical and AI techniques for preventive maintenance optimization based on Bayesian network reliability
3. Assessing the Impact of Climate Change on RAMS in Critical Infrastructure Systems
4. Resilience Engineering: Enhancing Asset Integrity through System Dynamics and Risk Analysis
5. Sensitivity and reliability analysis of a complex real-time system
6. Assessment of direct and indirect risk on structures based on probabilistic methods under the effect of one or more critical events
7. Finding a Reliable Path for Search and Rescue Problems at Sea, an Application of Water Propagation Modelling
8. Reliability of a Complex Sales Network Using Path Tracing Method
9. The Future of Reliability and Safety Science in the Era of Artificial Intelligence
10. Explainable Artificial Intelligence (XAI) applications in condition monitoring of industrial equipment
2. Comparison of statistical and AI techniques for preventive maintenance optimization based on Bayesian network reliability
3. Assessing the Impact of Climate Change on RAMS in Critical Infrastructure Systems
4. Resilience Engineering: Enhancing Asset Integrity through System Dynamics and Risk Analysis
5. Sensitivity and reliability analysis of a complex real-time system
6. Assessment of direct and indirect risk on structures based on probabilistic methods under the effect of one or more critical events
7. Finding a Reliable Path for Search and Rescue Problems at Sea, an Application of Water Propagation Modelling
8. Reliability of a Complex Sales Network Using Path Tracing Method
9. The Future of Reliability and Safety Science in the Era of Artificial Intelligence
10. Explainable Artificial Intelligence (XAI) applications in condition monitoring of industrial equipment
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 1 de marzo de 2027
- Idioma: Inglés
Sobre los editores
Sobre los editores
FA
Fatemeh Afsharnia
Fatemeh Afsharnia completed her Ph.D. in Mechanization Engineering from Agricultural Sciences and Natural Resources University of Khuzestan in 2021 and postdoctoral studies from Ferdowsi University of Mashhad. She was also a visiting scholar at the Condition Monitoring Center at the Sharif University of Technology in 2019. She was awarded the "Top Student Award” in 2010, and the “Best Research Student of University Award” in 2019. Dr. Afsharnia’s fields of study are Reliability engineering and analysis, Maintenance management, Maintenance planning, Regression modelling, Reliability theory, Risk assessment and analysis, Safety management and engineering, Probabilistic risk analysis, Maintenance optimization, Condition-based maintenance, etc. She is a member of the Iranian Maintenance Association (IRMA) and has published over 30 publications in several reputed journals and books. Moreover, she has been serving as a reviewer of the Journal of Industrial Information Integration, Computers & Industrial Engineering, ISA Transactions, Measurement, Journal of Food Engineering, and Computers and Electronics in Agriculture Journals published by Elsevier.
Afiliaciones y experiencia
Postdoctoral researcher, Reliability and Maintenance Engineering, Ferdowsi University of Mashhad, Mashhad, IranHG
Harish Garg
Dr. Garg is Associate Professor of Mathematics at Thapar Institute of Engineering and Technology, Patiala, Punjab, India. He is the recipient of the Obada-Prize 2022 – Young Distinguished Researchers. He is also the recipient of the Top-Cited paper by an India-based author (2015 – 2019) from Elsevier Publisher. He also serves as an advisory board member of the Universal Scientific Education and Research Network (USERN).
Dr. Garg's research interests include computational intelligence, multi-criteria decision making, evolutionary algorithms, reliability analysis, expert systems, and decision support systems, computing with words, and soft computing. He has authored more than 400 papers published in refereed international journals. He has also authored seven book chapters. He has also edited 8 books from Elsevier, Springer, and other publishers. Dr. Garg also serves on editorial boards of several leading international journals, this includes the Founding Editor-in-Chief of the Journal of Computational and Cognitive Engineering. He is also the Associate Editor of IEEE Transaction of Fuzzy Systems, Soft Computing, Alexandria Engineering Journal, Journal of Intelligent & Fuzzy Systems, Complex and Intelligent Systems, Journal of Industrial & Management Optimization, and CAAI Transactions on Intelligence Technology.
Afiliaciones y experiencia
Department of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, IndiaMY
Mohammad Yazdi
Mohammad Yazdi completed a dual Ph.D. program at the Centre for Risk, Integrity, and Safety Engineering (C-RISE), at the Memorial University of Newfoundland, Canada, and Macquarie University in Australia. Prior to graduate school, Mohammad took on multifaceted roles such as a Firefighter, Safety Officer, WHS/OHS Advisor, and Auditor across various industrial and energy sectors. His research interests and professional background converge at the nexus of system safety, risk assessment, resilience, process integrity, and asset management, especially concerning renewable and non-renewable energy infrastructure. With an impressive track record of leading large-scale energy projects and technology-rich initiatives, Mohammad offers invaluable support to asset operators, developers, and maintainers
Afiliaciones y experiencia
Memorial University of Newfoundland, Canada; Macquarie University, AustraliaAK
Amit Kumar
Dr. Amit Kumar is working as an Assistant Professor in the department of Applied Sciences, Symbiosis Institute of Technology, Pune campus, Symbiosis International (Deemed University), Maharashtra, India. He has done his Bachelors and Master’s form Chaudhary Charan Singh University, Meerut, India, in 2006 and 2009 respectively. In 2016, he received his Doctorate in Applied mathematics (Reliability theory). He published 65+ research papers in various esteemed (Scopus, WOS etc.) international journals. He is a reviewer/editorial board member in many international journals. His fields of research are, Reliability theory, Fuzzy Reliability, Operations Research, and System Engineering.
Afiliaciones y experiencia
Department of Applied Sciences, Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), (SIU), Pune, Maharashtra, India