Prognostics CoE Publications

Bayesian model selection and parameter estimation for fatigue damage progression models in composites

A Publication, Prognostics CoE Publications - 8 years, 4 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. ...

An Energy-based Prognostic Framework to Predict Evolution of Damage

A Publication, Prognostics CoE Publications - 8 years, 6 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 ...

A Recursive Receding Horizon Planning for Unmanned Vehicles

A Publication, Prognostics CoE Publications - 8 years, 10 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 ...

In-situ fatigue life prognosis for composite laminates based on stiffness degradation

A Publication, Prognostics CoE Publications - 8 years, 10 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 ...

Condition-based prediction of time-dependent reliability in composites

A Publication, Prognostics CoE Publications - 8 years, 10 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 ...

Prognostics Design Solutions in Structural Health Monitoring Systems

A Publication, Prognostics CoE Publications - 8 years, 10 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 ...

Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics

A Publication, Prognostics CoE Publications - 8 years, 10 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 ...