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Artificial Intelligence for Safety and Reliability Engineering

Methods, Applications, and Challenges

Kim Phuc Tran (Hrsg.)

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Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Sonstiges

Beschreibung

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.

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Schlagwörter

Artificial Intelligence, Remaining Useful Lifetime Prediction, Safety and Reliability Engineering, Smart Manufacturing, Predictive Maintenance, Smart Condition Monitoring, Machine Learning, Reinforcement Learning, Deep Learning, Industry 5.0