This monograph examines the design and implementation of a smart predictive maintenance platform for CNC machines, integrating real-time sensing, data analytics, and AI-driven diagnostic models. The author explores how hybrid human–machine interaction, anomaly detection, and adaptive decision-making improve equipment reliability, reduce downtime, and enhance overall manufacturing efficiency. The book outlines a practical framework for developing predictive maintenance workflows, supported by case studies and model architectures relevant to modern industrial environments. It offers a comprehensive perspective on building intelligent, resilient, and scalable maintenance systems for next-generation manufacturing.
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Viacheslav Shargaev is an innovation leader in metallurgy whose research explores artificial intelligence and human-machine collaboration. He authors works on intelligent, efficient and future-oriented industrial systems.
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Paperback. Zustand: new. Paperback. This monograph examines the design and implementation of a smart predictive maintenance platform for CNC machines, integrating real-time sensing, data analytics, and AI-driven diagnostic models. The author explores how hybrid human-machine interaction, anomaly detection, and adaptive decision-making improve equipment reliability, reduce downtime, and enhance overall manufacturing efficiency. The book outlines a practical framework for developing predictive maintenance workflows, supported by case studies and model architectures relevant to modern industrial environments. It offers a comprehensive perspective on building intelligent, resilient, and scalable maintenance systems for next-generation manufacturing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209341168
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This monograph examines the design and implementation of a smart predictive maintenance platform for CNC machines, integrating real-time sensing, data analytics, and AI-driven diagnostic models. The author explores how hybrid human-machine interaction, anomaly detection, and adaptive decision-making improve equipment reliability, reduce downtime, and enhance overall manufacturing efficiency. The book outlines a practical framework for developing predictive maintenance workflows, supported by case studies and model architectures relevant to modern industrial environments. It offers a comprehensive perspective on building intelligent, resilient, and scalable maintenance systems for next-generation manufacturing.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Bestandsnummer des Verkäufers 9786209341168
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