A probabilistic estimation of remaining useful life from censored time-to-event data

Predicting the remaining useful life (RUL) of ball bearings plays an important role in predictive maintenance. A common definition of the RUL is the time until a bearing is no longer functional, which we denote as an event, and many data-driven methods have been proposed to predict the RUL. However,...

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Hauptverfasser:	Lillelund, Christian Marius, Pannullo, Fernando, Jakobsen, Morten Opprud, Morante, Manuel, Pedersen, Christian Fischer
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
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