predictive maintenance
Case Study: MCP Factory 4.0 – Predictive Equipment Failure Using TensorFlow and OPC-UA
Project Overview The Model Context Protocol (MCP) Factory 4.0 project was designed to revolutionize predictive maintenance in industrial automation by leveraging machine learning (ML) and real-time PLC (Programmable Logic Controller) data. The goal was to develop a scalable system that could predict equipment failures before they occurred, minimizing downtime
