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DeepRUL

Deep Neural Network Techniques for Remaining Useful Life Prediction

Details

Programm / Ausschreibung Forschungspartnerschaften, Forschungspartnerschaften NATS/Ö-Fonds, FORPA NFTE 2018
Projektpartner AIT Austrian Institute of Technology GmbH
Projektstart 01.01.2019
Projektende 31.12.2022
Status abgeschlossen
Projektlaufzeit 48 Monate
Keywords Predictive Maintenance, Deep Learning, Explainable AI

Projektbeschreibung

The goal of Deep RUL is to investigate the application of Deep Learning techniques for the prediction of machine health indicators, such as Remaining Useful Life (RUL) or Time to Failure (TTF). Specifically, it will (i) develop novel methods for automated construction of health indicators, (ii) investigate methods for explaining predictions resulting from DL models, and (iii) research DL-informed decision making strategies.

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