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A Publication, Prognostics CoE Publications - 11 years, 2 months ago
Shared By: Miryam Strautkalns
This paper demonstrates how to apply prognostics to power MOSFETs (metal oxide field effect transistor). The methodology uses thermal cycling to age devices and Gaussian ...
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Multiple Damage Progression Paths in Model-based Prognostics
A Publication, Prognostics CoE Publications - 11 years, 2 months ago
Shared By: Miryam Strautkalns
Model-based prognostics approaches employ do- main knowledge about a system, its components, and how they fail through the use of physics-based models. Compo- nent wear ...
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Towards Prognostics of Electrolytic Capacitors
A Publication, Prognostics CoE Publications - 11 years, 2 months ago
Shared By: Miryam Strautkalns
A remaining useful life prediction algorithm and degradation model for electrolytic capacitors is presented. Electrolytic capacitors are used in several applications ranging from power supplies ...
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Integrating Systems Health Management with Adaptive Controls for a Utility-scale Wind Turbine
A Publication, Prognostics CoE Publications - 11 years, 2 months ago
Shared By: Miryam Strautkalns
Increasing turbine up-time and reducing maintenance costs are key technology drivers for wind turbine operators. Components within wind turbines are subject to considerable stresses due ...
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Prognostics for Ground Support Systems: Case Study on Pneumatic Valves
A Publication, Prognostics CoE Publications - 11 years, 2 months ago
Shared By: Miryam Strautkalns
Prognostics technologies determine the health (or damage) state of a component or sub- system, and make end of life (EOL) and remaining useful life (RUL) ...
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A Publication, Prognostics CoE Publications - 11 years, 2 months ago
Shared By: Miryam Strautkalns
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 ...
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A Publication, Prognostics CoE Publications - 11 years, 2 months ago
Shared By: Miryam Strautkalns
This paper presents a novel set of uncertainty measures to quantify the impact of input uncertainty on nonlinear prognosis systems. A Particle Filtering-based method is ...
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An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries
A Publication, Prognostics CoE Publications - 11 years, 2 months ago
Shared By: Miryam Strautkalns
Prognostics is an emerging science of predicting the health condition of a system (or its components) based upon current and previous system states. A reliable ...
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