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.
Edited by:
Kim Phuc Tran Imprint: Springer International Publishing AG Country of Publication: Switzerland Edition: 2024 ed. Dimensions:
Height: 235mm,
Width: 155mm,
ISBN:9783031714948 ISBN 10: 3031714946 Series:Springer Series in Reliability Engineering Pages: 199 Publication Date:29 September 2024 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active
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.