Predictive Maintenance for Transport Systems – Employing Model Ensembles for Online State Detection
J. Zenisek, M. Affenzeller, C. Sievi, M. Silmbroth, J. Wolfartsberger - Predictive Maintenance for Transport Systems – Employing Model Ensembles for Online State Detection - Proceedings of the IAUP Triennial Conference, Wien, Austria, 2017, pp. 2
Predictive Maintenance (PdM) plays an important role in detecting potential problems and preventing unexpected equipment failures in the industrial area. Transport systems represent another application domain where PdM could lead to higher availability and lower maintenance costs. In this paper, we propose a machine learning approach to predict the Remaining Useful Life (RUL) of turbofan units in aircraft.