Bayesian entropy network for fusion of different types of information
A hybrid method for information fusion combining the maximum entropy (ME) method with
the classical Bayesian network is proposed as the Bayesian-Entropy Network (BEN) in this …
the classical Bayesian network is proposed as the Bayesian-Entropy Network (BEN) in this …
Predictive nuclear power plant outage control through computer vision and data-driven simulation
Field operation and preparation (FO & P) processes in the outages of nuclear power plants
(NPPs) involve tedious team coordination processes. This study proposed a predictive NPP …
(NPPs) involve tedious team coordination processes. This study proposed a predictive NPP …
Information fusion for national airspace system prognostics: A NASA ULI project
Abstract Expanding Prognostics and Health Management (PHM) from an equipment-centric
view to complex large-scale engineering systems is a challenging problem. One example for …
view to complex large-scale engineering systems is a challenging problem. One example for …
Bayesian-entropy gaussian process for constrained metamodeling
Abstract A novel Bayesian-Entropy Gaussian Process (BEGP) is proposed for constrained
metamodeling. Gaussian Process (GP) regression is a flexible and robust tool for surrogate …
metamodeling. Gaussian Process (GP) regression is a flexible and robust tool for surrogate …
Aircraft trajectory prediction and risk assessment using bayesian updating
The continuous increase in the air traffic volume in the National Airspace System (NAS) not
only put heavy burden on the Air Traffic Controller (ATC), but also increase the number of …
only put heavy burden on the Air Traffic Controller (ATC), but also increase the number of …
Bayesian-Entropy Method for Probabilistic Diagnostics and Prognostics of Engineering Systems
Y Wang - 2020 - search.proquest.com
Abstract Information exists in various forms and a better utilization of the available
information can benefit the system awareness and response predictions. The focus of this …
information can benefit the system awareness and response predictions. The focus of this …