Results 31 to 40 of about 456,367 (154)

Ensemble Improved Permutation Entropy: A New Approach for Time Series Analysis

open access: yesEntropy, 2023
Entropy quantification approaches have gained considerable attention in engineering applications. However, certain limitations persist, including the strong dependence on parameter selection, limited discriminating power, and low robustness to noise.
Zhe Chen   +3 more
doaj   +1 more source

A noise-robust Multivariate Multiscale Permutation Entropy for two-phase flow characterisation [PDF]

open access: yes, 2022
Using a graph-based approach, we propose a multiscale permutation entropy to explore the complexity of multivariate time series over multiple time scales.
Fabila-Carrasco, John Stewart   +2 more
core   +1 more source

Multivariate improved weighted multi-scale permutation entropy and its application on EEG data [PDF]

open access: yes, 2019
International audienceThis paper introduces an entropy based method that measures complexity in non-stationary multivariate signals. This method, called Mutivariate Improved Weighted Multiscale Permutation Entropy (mvIWMPE), has two main advantages: (i ...
Siniatchkin, M.   +7 more
core   +2 more sources

Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform [PDF]

open access: yes, 2013
Copyright © 2013 by the authors. To assess the improvement of human body balance, a low cost and portable measuring device of center of pressure (COP), known as center of pressure and complexity monitoring system (CPCMS), has been developed for data ...
Huang, C-W   +14 more
core   +1 more source

Multiscale permutation entropy analysis of electroencephalogram

open access: yesActa Physica Sinica, 2014
We carried out a detailed analysis and a comparison between normal and epileptic electroencephalogram (EEG) based on multiscale permutation entropy. The relationship between multiscale permutation entropy values of EEG and age, and the effect of scale factor on multiscale permutation entropy value were also discussed.
null Yao Wen-Po   +3 more
openaire   +1 more source

Multiscale based nonlinear dynamics analysis of heart rate variability signals.

open access: yesPLoS ONE, 2020
Acceleration change index (ACI) is a fast and easy to understand heart rate variability (HRV) analysis approach used for assessing cardiac autonomic control of the nervous systems.
Syed Zaki Hassan Kazmi   +5 more
doaj   +1 more source

Multiscale permutation entropy analysis of laser beam wandering in isotropic turbulence [PDF]

open access: yesPhysical Review E, 2017
We have experimentally quantified the temporal structural diversity from the coordinate fluctuations of a laser beam propagating through isotropic optical turbulence. The main focus here is on the characterization of the long-range correlations in the wandering of a thin Gaussian laser beam over a screen after propagating through a turbulent medium. To
Olivares, Felipe   +4 more
openaire   +5 more sources

Application of Generalized Composite Multiscale Lempel–Ziv Complexity in Identifying Wind Turbine Gearbox Faults

open access: yesEntropy, 2021
Wind turbine gearboxes operate in harsh environments; therefore, the resulting gear vibration signal has characteristics of strong nonlinearity, is non-stationary, and has a low signal-to-noise ratio, which indicates that it is difficult to identify wind
Xiaoan Yan   +3 more
doaj   +1 more source

Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method

open access: yesShock and Vibration, 2019
The cracking of piezoelectric ceramics is the main reason of failure of an ultrasonic motor. Since the fault information is too weak to reflect the condition of piezoelectric ceramics especially in the early degradation stage, a fault feature extraction ...
Guoqing An, Hongru Li
doaj   +1 more source

Rolling bearing fault diagnosis based on generalized multiscale mean permutation entropy and GWO‐LSSVM

open access: yesIET Science, Measurement & Technology, 2023
Faults in rolling bearings are usually observed through pulses in the vibration signals. However, due to the influence of complex background noise and interference from other machine components present in measurement equipment, vibration signals are ...
Li Liu, Zijin Liu, Xuefei Qian
doaj   +1 more source

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