Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) (Intelligent Data-Centric Systems) - Softcover

Softcover

ISBN 10: 012823749X ISBN 13: 9780128237496

Publisher: Academic Press, 2021

Synopsis

Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability.

The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence.

The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability.

• Provides the latest review
• Covers various nature-inspired techniques applied to RAMS+C and PHM problems
• Includes techniques applied to new applications

About this title

About the Authors

Mohamed Arezki Mellal is a Professor at M'Hamed Bougara University of Boumerdes, Algeria. He was ranked among the top 2% of scientists worldwide by Stanford University (single-year 2022) and placed first by the 47th National University Commission of the MESRS for the professorship in Mechanical Engineering in 2022. He served as a visiting scholar at the University of Maryland, USA, and at other universities. He has been an invited keynote speaker at numerous conferences and is an associate editor of Frontiers in Mechanical Engineering (Topic: Mechatronics) an SCIE-indexed journal. His research interests encompass AI techniques for solving engineering problems, including system design and dependability, control, energy management, robotics, and manufacturing.

He is the founder and director of CALCE (Center for Advanced Life Cycle Engineering) at the University of Maryland, which is funded by over 150 of the world’s leading electronics companies at more than US$6M/year. He is a Professional Engineer, an IEEE Fellow, an ASME Fellow, an SAE Fellow, and an IMAPS Fellow. He is currently serving as editor-in-chief of Circuit World. He served as editor-in-chief of IEEE Access for 6 years, as editor-in-chief of IEEE Transactions on Reliability for 9 years, and as editor-in-chief of Microelectronics Reliability for 16 years. He has also served on three U.S. National Academy of Science studies, two U.S. Congressional investigations in automotive safety, and as an expert to the U.S. FDA. He is also a Chair Professor. He consults for 22 major international electronics companies, providing expertise in strategic planning, design, test, prognostics, IP and risk assessment of electronic products and systems.

From the Back Cover

Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability.

The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence.

The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability.

Edition details

• Publisher: Academic Press
• Publication date: 2021
• Language: English
• ISBN 10: 012823749X
• ISBN 13: 9780128237496
• Binding: Paperback
• Edition number: 1
• Number of pages: 144
• Editor: Mellal PhD Mohamed Arezki, Pecht Michael G.