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Feature extraction of milling chatter based on optimized variational mode decomposition and multi-scale permutation entropy

The International Journal of Advanced Manufacturing Technology, 2021
In the milling process, chatter is easy to occur and has a very adverse impact on the quality of the workpiece and the production efficiency. A chatter feature extraction method based on optimized variational mode decomposition (OVMD) and multi-scale permutation entropy (MPE) was proposed to solve the problem that it is difficult to detect the ...
Xianli Liu, Zhixue Wang, Maoyue Li, Caixu Yue, Steven Y. Liang, Lihui Wang   +5 more
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Synchronous analysis of brain regions based on multi-scale permutation transfer entropy

Computers in Biology and Medicine, 2019
The coupling of electroencephalographic (EEG) signals reflects the interaction between brain regions, which is of great importance for the assessment of motor function in post-stroke patients. In this study, the measurement of multi-scale permutation transfer entropy (MPTE) was presented and employed to characterize the coupling between the EEG signals
Yunyuan Gao, Rihui Li, Yingchun Zhang
exaly   +3 more sources

Sound Based Fault Diagnosis for RPMs Based on Multi-Scale Fractional Permutation Entropy and Two-Scale Algorithm

IEEE Transactions on Vehicular Technology, 2021
Considering the advantages of contactless fault diagnosis, a novel sound based fault diagnosis method for railway point machines (RPMs) is proposed. Firstly, a denoising method based on empirical mode decomposition (EMD) is proposed. The useful intrinsic mode functions (IMFs) are selected using kurtosis and energy criteria to reconstruct the denoised ...
Yongkui Sun, Yuan Cao, Guo Xie
exaly   +2 more sources

[Multi-scale Permutation Entropy and Its Applications in the Identification of Seizures].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2015
The electroencephalogram (EEG) has proved to be a valuable tool in the study of comprehensive conditions whose effects are manifest in the electrical brain activity, and epilepsy is one of such conditions. In the study, multiscale permutation entropy (MPE) was proposed to describe dynamical characteristics of EEG recordings from epilepsy and healthy ...
Xi, Min, Zhu, Guohun
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The experimental signals analysis for bubbly oil-in-water flow using multi-scale weighted-permutation entropy

Physica A: Statistical Mechanics and Its Applications, 2015
Abstract We firstly combine multi-scale method (MS) and weighted-permutation entropy (WPE) to analyze chaotic, noisy, and fractal time series, and find that MSWPE can distinguish different nonlinear time series and exhibit a better robustness in the presence of higher levels of noise, a task that multi-scale permutation entropy (MSPE) fails to work ...
Ningde Jin, Zhongke Gao, Lusheng Zhai
exaly   +2 more sources

Composite multi-scale phase reverse permutation entropy and its application to fault diagnosis of rolling bearing

Nonlinear Dynamics, 2022
Jinde Zheng, Haiyang Pan, Jinyu Tong
exaly   +2 more sources

Fault Diagnosis for RPMs Based on Novel Weighted Multi-Scale Fractional Permutation Entropy Improved by Multi-Scale Algorithm and PSO

IEEE Transactions on Vehicular Technology
Yongkui Sun, Yuan Cao, Peng Li
exaly   +2 more sources

Cumulative Tsallis entropy based on multi-scale permuted distribution of financial time series

Physica A: Statistical Mechanics and its Applications, 2020
Abstract A method based on multi-scale permuted distribution Cumulative Tsallis entropy (MPDCTE) is proposed in this paper to measure the complexity and dissimilarity between sequences. It avoids the influence of permutation on spatial distribution, and uses the calculation of spatial distance matrix in distributed entropy to effectively measure the ...
Yali Zhang, Pengjian Shang, Jiayi He, Hui Xiong   +3 more
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Multi-scale permutation entropy as a tool for complexity analysis of ship-radiated noise

2016 IEEE/OES China Ocean Acoustics (COA), 2016
In the present paper, we intend to evaluate on the basis of multi-scale permutation entropy (MPE) the complexity of underwater acoustic signals which include ship-radiated noise. Numerical simulation analysis indicates that the MPE method is able to improve the ability to distinguish stochastic noise and deterministic chaotic data. The analysis of real
Yang Wang, Qing-yu Liu
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MHTFPE2D: two-dimensional multi-scale hierarchical time–frequency permutation entropy for complexity measurement

Nonlinear Dynamics
Jinde Zheng, Haiyang Pan, Jinyu Tong
exaly   +2 more sources