A review of entropy measures for uncertainty quantification of stochastic processes
Entropy is originally introduced to explain the inclination of intensity of heat, pressure, and
density to gradually disappear over time. Based on the concept of entropy, the Second Law …
density to gradually disappear over time. Based on the concept of entropy, the Second Law …
Anomaly detection methods for categorical data: A review
Anomaly detection has numerous applications in diverse fields. For example, it has been
widely used for discovering network intrusions and malicious events. It has also been used …
widely used for discovering network intrusions and malicious events. It has also been used …
Weighted K-NN classification method of bearings fault diagnosis with multi-dimensional sensitive features
Q Wang, S Wang, B Wei, W Chen, Y Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
Research on the intelligent fault diagnosis method of rolling bearing based on laboratory
data has made some achievements. However, due to the change of working conditions and …
data has made some achievements. However, due to the change of working conditions and …
Bearing fault feature selection method based on weighted multidimensional feature fusion
Y Li, W Dai, W Zhang - IEEE access, 2020 - ieeexplore.ieee.org
Rolling bearing is one of the most critical components in rotating machinery, so in order to
efficiently select features, reduce feature dimensions and improve the correctness of fault …
efficiently select features, reduce feature dimensions and improve the correctness of fault …
A new method of cognitive signal recognition based on hybrid information entropy and DS evidence theory
H Wang, L Guo, Z Dou, Y Lin - Mobile Networks and Applications, 2018 - Springer
The automatic modulation recognition of communication signal has been widely used in
many fields. However, it is very difficult to recognize the modulation in low SNR. Based on …
many fields. However, it is very difficult to recognize the modulation in low SNR. Based on …
Automatic modulation classification of digital communication signals using SVM based on hybrid features, cyclostationary, and information entropy
Y Wei, S Fang, X Wang - Entropy, 2019 - mdpi.com
Since digital communication signals are widely used in radio and underwater acoustic
systems, the modulation classification of these signals has become increasingly significant …
systems, the modulation classification of these signals has become increasingly significant …
A rolling element bearing fault diagnosis approach based on multifractal theory and gray relation theory
J Li, Y Cao, Y Ying, S Li - PLoS One, 2016 - journals.plos.org
Bearing failure is one of the dominant causes of failure and breakdowns in rotating
machinery, leading to huge economic loss. Aiming at the nonstationary and nonlinear …
machinery, leading to huge economic loss. Aiming at the nonstationary and nonlinear …
Research on rolling bearing fault diagnosis based on multi-dimensional feature extraction and evidence fusion theory
J Li, Y Ying, Y Ren, S Xu, D Bi… - Royal Society open …, 2019 - royalsocietypublishing.org
Rolling bearing failure is the main cause of failure of rotating machinery, and leads to huge
economic losses. The demand of the technique on rolling bearing fault diagnosis in …
economic losses. The demand of the technique on rolling bearing fault diagnosis in …
An entropy-based approach for modeling lithium-ion battery capacity fade
Batteries are key components of many electronic devices including instrumentations,
vehicles, embedded systems, and medical devices. The malfunction of batteries may cause …
vehicles, embedded systems, and medical devices. The malfunction of batteries may cause …
An improved algorithm for extracting subtle features of radiation source individual signals
J Li, D Bi, Y Ying, K Wei, B Zhang - Electronics, 2019 - mdpi.com
With the rapid development of communication and information technology, it is difficult for
traditional signal detection and recognition methods to accurately acquire and identify the …
traditional signal detection and recognition methods to accurately acquire and identify the …