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, 2019Density 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, 2019The 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, 2015The 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, 2018This 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, 2023Chengxin Yang, G. Weng, Yiyang Chen
semanticscholar +1 more source
A new divergence measure for belief functions in D–S evidence theory for multisensor data fusion
Information Sciences, 2020Fuyuan Xiao
exaly
Rényi Divergence and Kullback-Leibler Divergence
IEEE Transactions on Information Theory, 2014Peter Harremoës
exaly
Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy
Information Fusion, 2019Fuyuan Xiao
exaly
Divergence measures for statistical data processing—An annotated bibliography
Signal Processing, 2013Michele Basseville
exaly

