Reliability Engineering and Computational Intelligence for Complex Systems: Design, Analysis and Evaluation (Studies in Systems, Decision and Control) - Softcover

Softcover

ISBN 10: 303140999X ISBN 13: 9783031409998

Publisher: Springer, 2024

Synopsis

This book offers insight into the current issues of the merger between reliability engineering and computational intelligence. The intense development of information technology allows for designing more complex systems as well as creating more detailed models of real-world systems which forces traditional reliability engineering approaches based on Boolean algebra, probability theory, and statistics to embrace the world of data science. The works deal with methodological developments as well as applications in the development of safe and reliable systems in various kinds of distribution networks, in the development of highly reliable healthcare systems, in finding weaknesses in systems with the human factor, or in reliability analysis of large information systems and other software solutions.

In this book, experts from various fields of reliability engineering and computational intelligence present their view on the risks, the opportunities and the synergy between reliability engineering and computational intelligence that have been developed separately but in recent years have found a way to each other. The topics addressed include the latest advances in computing technology to improve the real lives of millions of people by increasing safety and reliability of various types of real-life systems by increasing the availability of software services, reducing the accident rate of means of transport, developing high reliable patient-specific health care, or generally, save cost and increase efficiency in the work and living environment. Though this book, the reader has access to professionals and researchers in the fields of reliability engineering and computational intelligence that share their experience in merging the two as well as an insight into the latest methods, concerns and application domains. 

About this title

About the Author

Coen van Gulijk re-joined TNO in the Netherlands after a five-year post as full professor at the University of Huddersfield at the school of computing and engineering. He remains academically active as a visiting professor at the school of computing and engineering at the University of Huddersfield. His work focuses on the IT transformation Risk Analysis and Safety Management Systems. The objective is to provide industries with modern IT business systems to support risk-based decision making and asset management and to deliver cost reductions, performance enhancements, and optimization in industry. The introduction of AI functionality in safety management software is of special interest. Coen received a Ph.D. degree chemical engineering, applying computational fluid dynamics for aerosol deposition in diesel exhaust gasses. He has produced over 100 scientific papers on various topics and edited and co-edited half a dozen of multi-author books and proceedings.

Elena Zaitseva received the M.S. degree in computer science from the Belarus State University of Informatics and Radioelectronics (BSUIR), Belarus, in 1989 and the Ph.D. degree in computer science from BSUIR in 1994. She worked as Associate Professor at the Department of Informatics of University of Zilina, Slovakia, from 2004 to 2015. Since 2015, she has been Professor at the same department. Her research interests include Reliability Analysis of Multi-state System, Fuzzy Decision Trees, and Decision Support Systems. She is Chair of the Technical Committee of European Safety and Reliability Association. She has more than 140 documents indexed in Scopus and more than 500 citations.

Miroslav Kvassay received the M.S. degree in information systems and the Ph.D. degree in applied informatics from the University of Zilina, Slovakia, in 2012 and 2015, respectively. From 2015 to 2019, he was Assistant Professor at the Department of Informatics of University of Zilina, Slovakia. Since 2019, he has been Associate Professor at the same department. His research interests include applications of Boolean and Multiple-Valued Logic in Reliability Analysis of Binary- and Multi-state Systems, respectively. He has more than 80 documents indexed in Scopus and more than 200 citations.

From the Back Cover

This book offers insight into the current issues of the merger between reliability engineering and computational intelligence. The intense development of information technology allows for designing more complex systems as well as creating more detailed models of real-world systems which forces traditional reliability engineering approaches based on Boolean algebra, probability theory, and statistics to embrace the world of data science. The works deal with methodological developments as well as applications in the development of safe and reliable systems in various kinds of distribution networks, in the development of highly reliable healthcare systems, in finding weaknesses in systems with the human factor, or in reliability analysis of large information systems and other software solutions.

In this book, experts from various fields of reliability engineering and computational intelligence present their view on the risks, the opportunities and the synergy between reliabilityengineering and computational intelligence that have been developed separately but in recent years have found a way to each other. The topics addressed include the latest advances in computing technology to improve the real lives of millions of people by increasing safety and reliability of various types of real-life systems by increasing the availability of software services, reducing the accident rate of means of transport, developing high reliable patient-specific health care, or generally, save cost and increase efficiency in the work and living environment. Though this book, the reader has access to professionals and researchers in the fields of reliability engineering and computational intelligence that share their experience in merging the two as well as an insight into the latest methods, concerns and application domains.

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 303140999X
• ISBN 13: 9783031409998
• Binding: Paperback
• Number of pages: 236
• Editor: Van Gulijk Coen, Zaitseva Elena, Kvassay Miroslav