Learning for Predictions: Real-Time Reliability Assessment of Aerospace Systems

What is it about?

Estimating the remaining useful life of an engineering system is difficult as the propagation of damages is affected by uncertainty. We propose a methodology to deal efficiently with uncertainty by learning from real-time observations of the health of the monitored machine.

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