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Sensors incipient fault detection and isolation of nuclear power plant using extended Kalman filter and Kullback-Leibler divergence.

ISA transactions, 2019
Sensor real-time monitoring is an indispensable to achieve reliable plant operation along with stricter safety and environmental measures. This paper presents a statistical algorithm for sensors time-varying incipient fault detection and isolation.
Suryakant Gautam   +4 more
semanticscholar   +1 more source

Identity for Kullback-Leibler divergence in density functional reactivity theory.

Journal of Chemical Physics, 2019
Density functional reactivity theory (DFRT) makes use of simple electron density functionals to appreciate chemical reactivity. The Kullback-Leibler divergence, also called information gain or relative Shannon entropy, as a key component of the DFRT ...
Shubin Liu
semanticscholar   +1 more source

Kullback–Leibler Divergence Between Multivariate Generalized Gaussian Distributions

IEEE Signal Processing Letters, 2019
The Kullback–Leibler divergence (KLD) between two multivariate generalized Gaussian distributions (MGGDs) is a fundamental tool in many signal and image processing applications.
N. Bouhlel, Ali Dziri
semanticscholar   +1 more source

On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes

International Conference on Artificial Intelligence and Statistics, 2015
The variational framework for learning inducing variables (Titsias, 2009a) has had a large impact on the Gaussian process literature. The framework may be interpreted as minimizing a rigorously defined Kullback-Leibler divergence between the ...
A. G. Matthews   +3 more
semanticscholar   +1 more source

An improved incipient fault detection method based on Kullback-Leibler divergence.

ISA transactions, 2018
This paper presents an improved incipient fault detection method based on Kullback-Leibler (KL) divergence under multivariate statistical analysis frame.
Hongtian Chen, B. Jiang, N. Lu
semanticscholar   +1 more source

Active contour model based on local Kullback-Leibler divergence for fast image segmentation

Engineering applications of artificial intelligence, 2023
Chengxin Yang, G. Weng, Yiyang Chen
semanticscholar   +1 more source

Rényi Divergence and Kullback-Leibler Divergence

IEEE Transactions on Information Theory, 2014
Peter Harremoës
exaly  

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