Articoli correlati a Artificial Intelligence for Safety and Reliability...

Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications and Challenges - Rilegato

 
9783031714948: Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications and Challenges
Rilegato
ISBN 10: 3031714946 ISBN 13: 9783031714948
Casa editrice: Springer Nature, 2024

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

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.

Dalla quarta di copertina

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.

 

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
3031714946
ISBN 13 
9783031714948
Rilegatura
Copertina rigida
Numero di pagine
200
Redattore
Tran Kim Phuc
Contatto del produttore
GPSR Kontakt
ProductSafety@springernature.com

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