About this document
Real-Time Predictive Maintenance Using ML by hatir.guu is a document available to read on EtoBox.
The document discusses a framework for real-time predictive maintenance using machine learning at the edge for manufacturing systems, specifically focusing on an industrial oil-injection screw compressor. It highlights the transition from centralized to distributed computing, enabling edge devices to learn local models and improve diagnostics. The setup utilizes various technologies, including NVIDIA Jetson Nano for edge computing and MQTT for communication, to analyze real-time data from sensors and enhanc
- Author
- hatir.guu
- Language
- EN