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

Author:   Kim Phuc Tran
Publisher:   Springer International Publishing AG
ISBN:  

9783031714979


Pages:   199
Publication Date:   30 September 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications, and Challenges


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Author:   Kim Phuc Tran
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031714979


ISBN 10:   3031714970
Pages:   199
Publication Date:   30 September 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction to Artificial Intelligence for Safety and Reliability Engineering.- Artificial Intelligence for Safety and Reliability Engineering in Industry 5.0 Methods, Applications and Challenges.- System Reliability Inference for Common Cause Failure Model in Contexts of Missing Information.- Predictive maintenance enabled by a Light Weight Federated Learning in Smart Manufacturing: Remaining Useful Lifetime Prediction.- Explainable Trustworthy and Transparent Artificial Intelligence for Reliability Engineering and Safety Applications.- Inverse Reinforcement Learning for Predictive Maintenance.- Reliability and Risk Assessment with Explainable Artificial Intelligence.- An Anomaly Detection Framework for Safety and Reliability Engineering.- Wearable Technology for Workplace Safety with Embedded Artificial Intelligence.- Safety and Reliability of Artificial Intelligence systems.- Physics-informed machine learning for reliability and systems safety applications.

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Author Information

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.

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