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Other, Prognostics CoE Publications - 11 years, 4 months ago
Shared By: Miryam Strautkalns
This invention develops a mathematical model to describe battery behavior during individual discharge cycles as well as over its cycle life. The basis for the ...
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A Publication, Prognostics CoE Publications - 11 years, 4 months ago
Shared By: Miryam Strautkalns
The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of Relevance Vector Machine (RVM), and to ...
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A Bayesian Framework for Remaining Useful Life Estimation
A Publication, Prognostics CoE Publications - 11 years, 4 months ago
Shared By: Miryam Strautkalns
The estimation of remaining useful life (RUL) of a faulty component is at the center of system prognostics and health management. It gives operators a ...
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Health-Management Driven Control Reconfiguration Approach for Flight Vehicles
A Publication, Prognostics CoE Publications - 11 years, 4 months ago
Shared By: Miryam Strautkalns
A prognostic system makes it possible to anticipate loss of functionality before it occurs with sufficient lead time to take actions that mitigate the impact ...
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Prognostics in the Control Loop
A Publication, Prognostics CoE Publications - 11 years, 4 months ago
Shared By: Miryam Strautkalns
The term Automated Contingency Management (ACM) has been used to describe intelligent systems capable of mission re-planning and control reconfiguration in the presence of a ...
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A Survey of Artificial Intelligence for Prognostics
A Publication, Prognostics CoE Publications - 11 years, 4 months ago
Shared By: Miryam Strautkalns
Integrated Systems Health Management includes as key elements fault detection, fault diagnostics, and failure prognostics. Whereas fault detection and diagnostics have been the subject of ...
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Uncertainty Management for Diagnostics and Prognostics of Batteries using Bayesian Techniques
A Publication, Prognostics CoE Publications - 11 years, 4 months ago
Shared By: Miryam Strautkalns
Uncertainty management has always been the key hurdle faced by diagnostics and prognostics algorithms. A Bayesian treatment of this problem provides an elegant and theoretically ...
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A Comparison of Three Data-driven Techniques for Prognostics
A Publication, Prognostics CoE Publications - 11 years, 4 months ago
Shared By: Miryam Strautkalns
In situations where the cost/benefit analysis of using physics-based damage propagation algorithms is not favorable and when sufficient test data are available that map out ...
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