A review of entropy measures for uncertainty quantification of stochastic processes

A Namdari, Z Li - Advances in Mechanical Engineering, 2019 - journals.sagepub.com
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 …

Anomaly detection methods for categorical data: A review

A Taha, AS Hadi - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
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 …

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 …

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 …

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 …

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 …

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 …

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 …

An entropy-based approach for modeling lithium-ion battery capacity fade

A Namdari, ZS Li - 2020 Annual Reliability and Maintainability …, 2020 - ieeexplore.ieee.org
Batteries are key components of many electronic devices including instrumentations,
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 …