Intelligent Maintenance and Operations Systems (IMOS)
Our research focuses on the development of intelligent algorithms designed to improve the performance, reliability, and availability of complex industrial systems while making maintenance strategies more cost-efficient.
From Reactive to Intelligent Maintenance: Transforming Industrial Asset Management
To tackle these challenges, we develop and leverage computational tools and methodologies tailored to Prognostics and Health Management (PHM) tasks, including fault detection, diagnostics, and Remaining Useful Life (RUL) prediction.
Prof. Olga Fink gives an introduction to her research.
Our approach integrates:
Current Team
