12 citations · 18 across the 6 of their papers we have counts for
3 papers · 1 filter
Integrating Prognostics, Maintenance, and Tail Assignment under Remaining Useful Life Uncertainty: A Stochastic Optimisation Approach for Airline Reliability
Benno Käslin, Marta Ribeiro, Dimitrios Zarouchas +1
Ensuring reliability, safety, and economic efficiency in airline operations requires maintenance and fleet scheduling strategies that explicitly account for uncertainty in Remainin…
Fusing Physics-based and Deep Learning Models for Prognostics
Manuel Arias Chao, Chetan Kulkarni, Kai Goebel +1
Physics-based and data-driven models for remaining useful lifetime (RUL) prediction typically suffer from two major challenges that limit their applicability to complex real-world…
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models
Manuel Arias Chao, Chetan Kulkarni, Kai Goebel +1
With the increased availability of condition monitoring data and the increased complexity of explicit system physics-based models, the application of data-driven approaches for fau…