Results 21 to 30 of about 1,309,182 (144)

A Refined Multiscale Symbolic Diverse Entropy Technique for Detecting Weak Faults in Rotating Machinery

open access: yesApplied Sciences, 2023
In rotating machinery components, it is difficult to extract incipient weak fault features directly from vibration signals. A fault feature extraction method based on refined multiscale symbolic dispersion entropy (RMSDE) is proposed.
Shunming Li   +3 more
doaj   +1 more source

A Novel Method for Fault Diagnosis of Rotating Machinery

open access: yesEntropy, 2022
When rotating machinery fails, the consequent vibration signal contains rich fault feature information. However, the vibration signal bears the characteristics of nonlinearity and nonstationarity, and is easily disturbed by noise, thus it may be ...
Meng Tang   +3 more
doaj   +1 more source

Fault line selection method for coal mine power grid based on RCMDE and KFCM

open access: yesGong-kuang zidonghua, 2022
It is difficult to accurately select the fault line when the single-phase ground fault occurs in the coal mine power grid with the widely used resonant grounding system.
HAN Guoguo   +4 more
doaj   +1 more source

Hierarchical Multiscale Fluctuation Dispersion Entropy for Fuel Injection System Fault Diagnosis [PDF]

open access: yes, 2023
Marine electronically controlled (ME) two-stroke diesel engines occupy the highest market share in newly-built ships and its fuel injection system is quite different and important.
Hu Yihuai   +8 more
core   +1 more source

Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals

open access: yesFrontiers in Physiology, 2020
Sudden cardiac death (SCD), which can deprive a person of life within minutes, is a destructive heart abnormality. Thus, providing early warning information for patients at risk of SCD, especially those outside hospitals, is essential.
Manhong Shi   +9 more
doaj   +1 more source

Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy [PDF]

open access: yes, 2019
© 2019 Elsevier B.V. Multiscale inherent fuzzy entropy is an objective measurement of electroencephalography (EEG) complexity, reflecting the habituation of brain systems.
Hussain, FK   +11 more
core   +1 more source

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

Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing

open access: yes, 2023
The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, and low signal-to-noise ratio.
Hong Liu   +5 more
core   +1 more source

SUPERSEDED - Matlab codes for "Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals"

open access: yes, 2017
Please see the updated Matlab codes for "Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals" at https://doi.org/10.7488/ds/1982 . Multiscale entropy (MSE) is a widely-used tool for the analysis of biomedical signals.
Azami, Hamed, Escudero, Javier
core   +1 more source

A multivariate multiscale fuzzy entropy algorithm with application to uterine EMG complexity analysis [PDF]

open access: yes, 2016
The recently introduced multivariate multiscale entropy (MMSE) has been successfully used to quantify structural complexity in terms of nonlinear within- and cross-channel correlations as well as to reveal complex dynamical couplings and various degrees ...
Danilo Mandic   +9 more
core   +1 more source

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