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Introduction to Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0

Author

Listed:
  • Kim Phuc Tran

    (Université de Lille, ENSAIT, ULR 2461 - GEMTEX Génie et Matériaux Textiles
    Dong A University, International Chair in DS & XAI, International Research Institute for Artificial Intelligence and Data Science)

Abstract

With a focus on explainability, reliability, and human-centered design, this book examines the theoretical underpinnings and real-world applications of artificial intelligence (AI) for smart manufacturing in the context of Industry 5.0. By encouraging resilience, sustainability, and human-machine collaboration, Industry 5.0 builds on Industry 4.0, where anomaly detection (AD) is essential to operational reliability and predictive maintenance. It covers fundamental technologies like decentralized intelligence through Federated Learning (FL) and Blockchain for privacy and transparency, as well as hybrid AI-statistical approaches. Explainable and Human-Centered AD, which blends interpretability techniques with human-in-the-loop tactics, is given a lot of attention. The book presents cutting-edge AI techniques–deep learning, generative models, transformers, reinforcement, and transfer learning–that bridge theory and practice to create transparent, safe, and robust AI systems for reliable Smart Manufacturing in Industry 5.0.

Suggested Citation

  • Kim Phuc Tran, 2026. "Introduction to Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0," Springer Series in Reliability Engineering,, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-032-13657-2_1
    DOI: 10.1007/978-3-032-13657-2_1
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