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FPGA-Based Predictive Maintenance System by Alishba Hyder ali is a document available to read on EtoBox.

What is FPGA-Based Predictive Maintenance System about?

The document outlines a project focused on predictive maintenance for industrial motors using sensor data and machine learning to detect faults early, aiming to reduce downtime and maintenance costs. It details the methodology involving the use of FPGA for real-time monitoring, along with objectives such as developing a sensor-based data acquisition system and training a machine learning model. The project also includes a literature review, tools and software used, and references to support its findings.

Author

Alishba Hyder ali

Language

EN