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AI-Driven Predictive Maintenance as a Business Optimization Model for Smart Facilities

  • Arodh Lal Karn (Supervisor)

Activity: Supervision › Master Dissertation Supervision

Description

This thesis explores the impact of the selected machine learning/deep learning model for Remaining Useful Life prediction on the cost-optimal maintenance decision in predictive maintenance systems. Many works focus only on prediction accuracy. Far less is known as to how these RUL estimates map on to maintenance economically sound actions..
Period1 Jan 2025 → 30 Jul 2026
Degree of RecognitionLocal

Keywords

  • Machine Learning
  • Smart Facilities
  • Cost Optimization