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industry-4-0

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predictive-maintenance-mcp

AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.

  • Updated Apr 6, 2026
  • Python

🎯 AI-powered CNC production monitoring: Automatically tracks machining cycles, optimizes efficiency, reduces costs 15-25%. Real-time analytics, predictive maintenance alerts, seamless MES integration. Industrial-grade security, 99.8% uptime. ROI in 6-12 months. Ready for Industry 4.0.

  • Updated Aug 4, 2025
  • Python

Features a logic-gate to pause updates and notify stakeholders if maintenance records are incomplete.Simultaneously, machine learning models are used in retool to provide early warnings and suggestions.

  • Updated Mar 17, 2026
  • JavaScript

Predictive Fault Detection System for Three-Phase Induction Motors using Thermography and CNNs with Grad-CAM Interpretability | Bachelor's Thesis | UFSC 2025

  • Updated Dec 29, 2025
  • Python

A Real-Time Manufacturing Intelligence Dashboard integrating a Decision Support System (DSS) and Expert System for predictive maintenance, energy optimization, and smart factory diagnostics. Built with React, Tailwind CSS, and Hybrid Intelligence logic.

  • Updated Jan 15, 2026
  • JavaScript

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