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{ "item_title" : "Smart Predictive Maintenance Platform for CNC Machines", "item_author" : [" Viacheslav Shargaev "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/20/934/116/6209341160_b.jpg", "price_data" : { "retail_price" : "51.00", "online_price" : "51.00", "our_price" : "51.00", "club_price" : "51.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Smart Predictive Maintenance Platform for CNC Machines|Viacheslav Shargaev

Smart Predictive Maintenance Platform for CNC Machines

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Overview

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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Details

  • ISBN-13: 9786209341168
  • ISBN-10: 6209341160
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: December 2025
  • Dimensions: 9 x 6 x 0.16 inches
  • Shipping Weight: 0.23 pounds
  • Page Count: 68

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