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View All on GitHub Learn about Machinery fault diagnosis and signal processing from NPTEL. about 2 hours ago
AI Summary: This GitHub issue serves as a personal checklist to track progress through an NPTEL course on "Machinery fault diagnosis and signal processing." It lists weeks 1 through 12 as items to be completed, along with a direct link to the course material.
Complexity:
1/5
good first issue
An AI-driven Prognostics and Health Management (PHM) system for predictive maintenance. This project features a FastAPI for real-time condition monitoring, advanced models for fault detection, and Remaining Useful Life (RUL) prediction. It integrates digital twin concepts and Explainable AI (XAI) for transparent and reliable industrial asset manage
Python
#condition-monitoring#cookiecutter#digital-twin#explainable-ai#fastapi#fault-detection-and-diagnosis#health-management#industrial-iot#machine-learning-projects#predictive-maintenance#prognostics#remaining-useful-life