A Combined Model-Based and Data-Driven Prognostic Approach for Aircraft System Life Management

A Publication, Prognostics CoE Publications - 8 years, 3 months ago

Shared By: Kai Goebel

Failure prognosis - as a natural extension to the fault detection and isolation (FDI) problem - has become a key issue in a world where ...

Jet Engine Performance Deterioration

A Dataset, PHM Data Challenges - 10 years, 5 months ago

Shared By: Kai Goebel

This data set contains numerous trajectories of engine related parameters that terminate at a lower acceptable threshold

Maintenance Action Recommendation

A Dataset, PHM Data Challenges - 10 years, 5 months ago

Shared By: Kai Goebel

This data set deals with Maintenance Action Recommendations

Maintenance Action Recommendation

A Dataset, Kai Goebel's Collection - 9 years, 2 months ago

Shared By: Kai Goebel

Maintenance action recommendation is a common problem in industrial remote monitoring and diagnostics. This dataset will allow testing of the ability to accurately recommend confirmed ...

Model-based Prognostics with Fixed-lag Particle Filters

A Publication, Prognostics CoE Publications - 12 years, 2 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, 2 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, 2 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, 2 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, 2 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. ...