Overview
- Describes systematic artificial intelligence (AI) for safety and reliability engineering
- Offers insights on better-informed decision-making and more effective accident prevention in smart manufacturing
- Provides ready-to-use algorithms for readers and practitioners and contains case studies in every chapter
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book is a comprehensive exploration of the latest theoretical research, technological advancements, and real-world applications of artificial intelligence (AI) for safety and reliability engineering.
Smart manufacturing relies on predictive maintenance (PdM) to ensure sustainable production systems, and the integration of AI has become increasingly prevalent in this field. This book serves as a valuable resource for researchers, practitioners, and decision-makers in manufacturing. By combining theoretical research, practical applications, and case studies, it equips readers with the necessary knowledge and tools to implement AI for safety and reliability engineering effectively in smart manufacturing contexts.
Keywords
Table of contents (9 chapters)
-
Front Matter
Editors and Affiliations
About the editor
Kim Phuc Tran is a Senior Associate Professor (Maître de Conférences HDR, equivalent to UK Reader) of Artificial Intelligence and Data Science at the ENSAIT and the GEMTEX laboratory, University of Lille, France.
Bibliographic Information
Book Title: Artificial Intelligence for Safety and Reliability Engineering
Book Subtitle: Methods, Applications, and Challenges
Editors: Kim Phuc Tran
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-3-031-71495-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-71494-8Published: 29 September 2024
Softcover ISBN: 978-3-031-71497-9Due: 13 October 2025
eBook ISBN: 978-3-031-71495-5Published: 28 September 2024
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: V, 199
Number of Illustrations: 8 b/w illustrations, 48 illustrations in colour
Topics: Industrial and Production Engineering, Artificial Intelligence, Production