AI-Driven Predictive Maintenance for Manufacturing

Ongoing 75% complete

Description

Research on using machine learning to predict equipment failures in manufacturing plants

Research Objectives

Develop ML models for failure prediction, Reduce downtime by 30%

Methodology

Data collection from sensors, ML model training, Validation in real environment

Research Team

Dr. Jamal Et-Tousy
Research Assistant

Collaborators

Manufacturing Company X

Project Progress

75%