AI4I (Artificial intelligence for Industry) 2020 Predictive Maintenance using Decision Tree and Random Forest Supervised Machine Learning Classification algortihms.
Example project app for solving Operations Research's machine maintenance/replacement models.
An utility for a high-level machine maintenance journal
Class library for managing periodic machine inspections in Comarch Hydra with WPF forms — includes scheduling, notifications, protocol generation, archiving, reporting, and automated mailing.
This project performs multiclass classification to identify machine failure types using a synthetic dataset with features like temperature, torque, and tool wear. It includes data analysis, feature engineering, and model training to optimize maintenance strategies and reduce downtime through predictive insights.
Backend API for Machine Maintenance – a system for managing employee attendance, machine records, maintenance reminders, and QR code generation. Provides RESTful endpoints to support frontend or mobile interfaces for industrial asset and workforce tracking.
Add a description, image, and links to the machine-maintenance topic page so that developers can more easily learn about it.
To associate your repository with the machine-maintenance topic, visit your repo's landing page and select "manage topics."