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A Publication, Prognostics CoE Publications - 8 years, 3 months ago
Shared By: Kai Goebel
A Bayesian approach is presented for selecting the most probable model class among a set of damage mechanics models for fatigue damage progression in composites. ...
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An Energy-based Prognostic Framework to Predict Evolution of Damage
A Publication, Prognostics CoE Publications - 8 years, 4 months ago
Shared By: Kai Goebel
Real-time measurements of the structural performance are now possible through state-of-the-art structural health monitoring (SHM) techniques, and a large amount of response data can be ...
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A Recursive Receding Horizon Planning for Unmanned Vehicles
A Publication, Prognostics CoE Publications - 8 years, 9 months ago
Shared By: Kai Goebel
This paper proposes a recursive receding horizon path planning algorithm for unmanned vehicles in nonuniform environments. In the proposed algorithm, the map is described by ...
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In-situ fatigue life prognosis for composite laminates based on stiffness degradation
A Publication, Prognostics CoE Publications - 8 years, 9 months ago
Shared By: Kai Goebel
In this paper, a real-time composite fatigue life prognosis framework is proposed. The proposed methodology combines Bayesian inference, piezoelectric sensor measurements, and a mechanical stiffness ...
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Condition-based prediction of time-dependent reliability in composites
A Publication, Prognostics CoE Publications - 8 years, 9 months ago
Shared By: Kai Goebel
This paper presents a reliability-based prediction methodology to obtain the remaining useful life of composite materials subjected to fatigue degradation. Degradation phenomena such as stiffness ...
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Prognostics Design Solutions in Structural Health Monitoring Systems
A Publication, Prognostics CoE Publications - 8 years, 9 months ago
Shared By: Kai Goebel
The chapter describes the application of prognostic techniques to the domain of structural health and demonstrates the efficacy of the methods using fatigue data from ...
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Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics
A Publication, Prognostics CoE Publications - 8 years, 9 months ago
Shared By: Kai Goebel
Particle filters (PF) have been established as the de facto state of the art in failure prognosis. They combine advantages of the rigors of Bayesian ...
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A Publication, Prognostics CoE Publications - 8 years, 9 months ago
Shared By: Kai Goebel
Prognostics has received considerable attention recently as an emerging sub-discipline within SHM. Prognosis is here strictly defined as “predicting the time at which a component ...
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