Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0
Theories, Applications and Case Studies
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Beschreibung
This book systematically presents the application of Human-Centered Explainable Anomaly Detection (HCXAD) in Smart Manufacturing (SM). This book addresses HCXAD as an approach that places the human at the center of technology design, aiming to bridge the gap between Explainable AI (XAI) and its real-world impact. The book will also cover the applications of HCXAD in SM, including predictive maintenance, cybersecurity of Industrial Internet of Things (IIoT) systems, fault detection, and reliability analysis for manufacturing processes. It will introduce readers to the latest theoretical research, technological developments, and practical applications of HCXAD, addressing the current challenges and opportunities in Smart Manufacturing. Additionally, the book will provide ready-to-use algorithms for readers and practitioners, tailored to several potential HCXAD applications in SM. Case studies will be presented in each chapter to help readers and practitioners easily apply these tools to real-world Smart Manufacturing processes.
This book systematically presents the application of Human-Centered Explainable Anomaly Detection (HCXAD) in Smart Manufacturing (SM). This book addresses HCXAD as an approach that places the human at the center of technology design, aiming to bridge the gap between Explainable AI (XAI) and its real-world impact. The book will also cover the applications of HCXAD in SM, including predictive maintenance, cybersecurity of Industrial Internet of Things (IIoT) systems, fault detection, and reliability analysis for manufacturing processes. It will introduce readers to the latest theoretical research, technological developments, and practical applications of HCXAD, addressing the current challenges and opportunities in Smart Manufacturing. Additionally, the book will provide ready-to-use algorithms for readers and practitioners, tailored to several potential HCXAD applications in SM. Case studies will be presented in each chapter to help readers and practitioners easily apply these tools to real-world Smart Manufacturing processes.
Introduces systematic applications of Human-Centered Explainable Anomaly Detection (HCXAD) for Smart Manufacturing (SM) With ready-to-use algorithms for readers and practitioners for several potential HCXAD applications in SM Includes case studies in each chapter to help readers apply the tools introduced in the book
Autor*in
Kim Phuc Tran
Themen in »Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0«
Artificial Intelligence Reinforcement Learning Deep learning Predictive Maintenance Safety and Reliability Engineering Remaining Useful Lifetime Prediction Smart Condition Monitoring Industry 50 Smart Manufacturing