Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation

A Publication, Prognostics CoE Publications - 11 years, 9 months ago

Shared By: Miryam Strautkalns

This article discusses several aspects of uncertainty represen- tation and management for model-based prognostics method- ologies based on our experience with Kalman Filters when applied ...

A Comparison of Filter-based Approaches for Model-based Prognostics

A Publication, Prognostics CoE Publications - 11 years, 9 months ago

Shared By: Miryam Strautkalns

Model-based prognostics approaches employ domain knowledge about a system, its components, and how they fail through the use of physics-based models, derived from first principles, ...

Requirements Flowdown for Prognostics and Health Management

A Publication, Prognostics CoE Publications - 11 years, 9 months ago

Shared By: Miryam Strautkalns

Prognostics and Health Management (PHM) principles have considerable promise to change the game of lifecycle cost of engineering systems at high safety levels by providing ...

Investigating the Effect of Damage Progression Model Choice on Prognostics Performance

A Publication, Prognostics CoE Publications - 11 years, 9 months ago

Shared By: Miryam Strautkalns

The success of model-based approaches to systems health management depends largely on the quality of the underly- ing models. In model-based prognostics, it is especially ...

A Model-based Prognostics Methodology for Electrolytic Capacitors Based on Electrical Overstress Accelerated Aging

A Publication, Prognostics CoE Publications - 11 years, 9 months ago

Shared By: Miryam Strautkalns

A remaining useful life prediction methodology for elec- trolytic capacitors is presented. This methodology is based on the Kalman filter framework and an empirical degradation ...

Exploring the Model Design Space for Battery Health Management

A Publication, Prognostics CoE Publications - 11 years, 9 months ago

Shared By: Miryam Strautkalns

Battery Health Management (BHM) is a core enabling technology for the success and widespread adoption of the emerging electric vehicles of today. Although battery chemistries ...

Prognostics of Power MOSFET

A Publication, Prognostics CoE Publications - 11 years, 9 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 ...

Multiple Damage Progression Paths in Model-based Prognostics

A Publication, Prognostics CoE Publications - 11 years, 9 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 ...

Towards Prognostics of Electrolytic Capacitors

A Publication, Prognostics CoE Publications - 11 years, 9 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 ...

Integrating Systems Health Management with Adaptive Controls for a Utility-scale Wind Turbine

A Publication, Prognostics CoE Publications - 11 years, 9 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 ...

Prognostics for Ground Support Systems: Case Study on Pneumatic Valves

A Publication, Prognostics CoE Publications - 11 years, 9 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) ...

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

A Publication, Prognostics CoE Publications - 11 years, 9 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 ...

Impact of Input Uncertainty on Failure Prognostic Algorithms: Extending the Remaining Useful Life of Nonlinear ...

A Publication, Prognostics CoE Publications - 11 years, 9 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 ...

An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries

A Publication, Prognostics CoE Publications - 11 years, 9 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 ...