Distributed acoustic optical fiber sensor for conveyor belts health monitoring

Purpose and goal The main purpose of the project is to investigate methods to effectively monitor real-time mining conveyor conditions using distributed optical fiber sensors. The project aims to verify the possibility of…

MachineHealth: Towards healthy machines and predictive maintenance with AI

Purpose and goal This project will conduct a feasibility study to understand the requirements for monitoring machine health in the mining environment. With the latest announcements of new technology, AI algorithms will be…

Improving data quality for LCC predictions with cloud services

Purpose and goal The purpose of the IDQfLCC project is to: 1. Develop a data quality assessment framework of the MAXIMO database. The framework includes three essential aspects: diagnostics, prediction and recipies; 2….

Reliability centric maintenance (RCM) for automated mining machines

Purpose and goal The purpose of the research project is to study the ability to apply Reliability Centered Maintenance (RCM) in automated mining machines. The goal is to improve the reliability and availability…