RSW-CFL3D-Schuster-Fine Grid

A Dataset, Aeroelastic Prediction Workshop - 12 years, 2 months ago

Shared By: DAVID SCHUSTER

RSW-CFL3D-Schuster-Medium Grid

A Dataset, Aeroelastic Prediction Workshop - 12 years, 2 months ago

Shared By: DAVID SCHUSTER

RSW-CFL3D-Schuster-Coarse Grid

A Dataset, Aeroelastic Prediction Workshop - 12 years, 2 months ago

Shared By: DAVID SCHUSTER

RSW Wing Grid. Structured single-block grid with viscous tunnel wall. PLOT3D Format

Reporting Sample

Other, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 12 years, 2 months ago

Shared By: Bryan Matthews

RSW ICEM CFD grids from ANSYS Germany

A Dataset, Aeroelastic Prediction Workshop - 12 years, 2 months ago

Shared By: PAWEL CHWALOWSKI

These grids were constructed by ANSYS Germany using ICEM CFD. Please contact Thorsten Hansen, if you have any questions.

Model-based Prognostics with Fixed-lag Particle Filters

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Model-based prognostics exploits domain knowledge of the system, its components, and how they fail by casting the underlying physical phenomena in a physics-based model that ...

Model-based Prognostics under Limited Sensing

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Prognostics is crucial to providing reliable condition-based maintenance decisions. To obtain accurate predictions of component life, a variety of sensors are often needed. However, it ...

Tackling Verification and Validation for Prognostics

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Verification and validation (V&V;) has been identified as a critical phase in fielding systems with Integrated Systems Health Management (ISHM) solutions to ensure that the ...

Improving Computational Efficiency of Prediction in Model-based Prognostics Using the Unscented Transform

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Model-based prognostics captures system knowledge in the form of physics-based models of components, and how they fail, in order to obtain accurate predictions of end ...

Prognostics for Ground Support Systems: Case Study on Pneumatic Valves

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Prognostics technologies determine the health (or damage) state of a component or subsystem, and make end of life (EOL) and remaining useful life (RUL) predictions. ...

A Model-based Prognostics Approach Applied to Pneumatic Valves

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain knowledge of the ...

BSCW ICEM CFD grids from ANSYS Germany

A Dataset, Aeroelastic Prediction Workshop - 12 years, 3 months ago

Shared By: PAWEL CHWALOWSKI

These grids were constructed by ANSYS Germany using ICEM CFD. Please contact Thorsten Hansen, if you have any questions.