Prediction and Adaptation in Predictive Maintenance Systems (Strategic Project)

Basic research project to

• improve current adaptive and evolving data-driven models in predictive maintenance (PdM) systems,
• develop and improve automated process optimization techniques based on time-series forecast models,
• perform enhanced anomaly detection for early recognition of arising problems,
• develop new methods and algorithms for improved robustness, performance and useability of PdM models and optimization in dynamic processes.