Results 31 to 40 of about 808,398 (185)

Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM

Entropy, 2021
The goal of the paper is to present a solution to improve the fault detection accuracy of rolling bearings. The method is based on variational mode decomposition (VMD), multiscale permutation entropy (MPE) and the particle swarm optimization-based ...
Maoyou Ye, Xiaoan Yan, Minping Jia
doaj   +1 more source

Refined Multiscale Entropy Using Fuzzy Metrics: Validation and Application to Nociception Assessment [PDF]

Entropy, 2019
The refined multiscale entropy (RMSE) approach is commonly applied to assess complexity as a function of the time scale. RMSE is normally based on the computation of sample entropy (SampEn) estimating complexity as conditional entropy. However, SampEn is dependent on the length and standard deviation of the data.
José F. Valencia, Jose D. Bolanos, Montserrat Vallverdú, Erik W. Jensen, Alberto Porta, Pedro L. Gambús   +5 more
openaire   +5 more sources

Multivariate Multiscale Cosine Similarity Entropy and Its Application to Examine Circularity Properties in Division Algebras

Entropy, 2022
The extension of sample entropy methodologies to multivariate signals has received considerable attention, with traditional univariate entropy methods, such as sample entropy (SampEn) and fuzzy entropy (FuzzyEn), introduced to measure the complexity of ...
Hongjian Xiao, Theerasak Chanwimalueang, Danilo P. Mandic   +2 more
doaj   +1 more source

Assessing the Role of EEG Biosignal Preprocessing to Enhance Multiscale Fuzzy Entropy in Alzheimer's Disease Detection. [PDF]

Biosensors (Basel)
Quantitative electroencephalography (QEEG) has emerged as a promising tool for detecting Alzheimer’s disease (AD). Among QEEG measures, Multiscale Fuzzy Entropy (MFE) shows great potential in identifying AD-related changes in EEG complexity. However, MFE is intrinsically linked to signal amplitude, which can vary substantially among EEG systems, and ...
Arpaia P, Cacciapuoti M, Cataldo A, Criscuolo S, De Benedetto E, Masciullo A, Pesola M, Schiavoni R.   +7 more
europepmc   +6 more sources

Multiscale multivariate fuzzy entropy analysis

Acta Physica Sinica, 2013
Multiscale multivariate sample entropy can test the multivariate complexity, which is accepted as a kind of reflection of nonlinear dynamical interactions in multichannel data. It is however relatively unstable due to the rigid ranking scheme used in comparison among different patterns.
null Li Peng, null Liu Cheng-Yu, null Li Li-Ping, null Ji Li-Zhen, null Yu Shou-Yuan, null Liu Chang-Chun   +5 more
openaire   +1 more source

Multiscale symbolic fuzzy entropy: An entropy denoising method for weak feature extraction of rotating machinery

Mechanical Systems and Signal Processing, 2022
Abstract The entropy-based method has been demonstrated to be an effective approach to extract the fault features by estimating the complexity of signals, but how to remove the strong background noises in analyzing early weak impulsive signal remains unexplored. To solve this problem, this paper proposes symbolic fuzzy entropy (SFE) based on symbolic
Yongbo Li, Shun Wang, Yang Yang, Zichen Deng   +3 more
openaire   +1 more source

Refined Multiscale Fuzzy Entropy to Analyse Post-Exercise Cardiovascular Response in Older Adults With Orthostatic Intolerance. [PDF]

Entropy (Basel), 2018
Orthostatic intolerance syndrome occurs when the autonomic nervous system is incapacitated and fails to respond to the demands associated with the upright position. Assessing this syndrome among the elderly population is important in order to prevent falls. However, this problem is still challenging.
Hortelano M, Reilly RB, Castells F, Cervigón R.   +3 more
europepmc   +8 more sources

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

, 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, Jiang, BC, Shieh, J-S, Sue, PD, Maysam F. Abbod, Bernard Jiang, Jiann-Shing Shieh, Huang, CW, Maysam Abbod, Pei-Der Sue, Shieh, JS, Abbod, MF, Bernard C. Jiang, Cheng-Wei Huang, Sue, P-D   +14 more
core   +1 more source

A Novel Fault Detection Scheme Using Improved Inherent Multiscale Fuzzy Entropy With Partly Ensemble Local Characteristic-Scale Decomposition

IEEE Access, 2020
At present, the multiscale fuzzy entropy has been verified to be an excellent measure of the complexity for dynamic time series. However, when using to short-time time series collected in practical application, the conventional multiscale fuzzy entropy ...
Songrong Luo, Wenxian Yang, Youxin Luo
doaj   +1 more source

Bearing Fault Diagnosis Using Refined Composite Generalized Multiscale Dispersion Entropy-Based Skewness and Variance and Multiclass FCM-ANFIS

Entropy, 2021
Bearing vibration signals typically have nonlinear components due to their interaction and coupling effects, friction, damping, and nonlinear stiffness. Bearing faults affect the signal complexity at various scales.
Mostafa Rostaghi, Mohammad Mahdi Khatibi, Mohammad Reza Ashory, Hamed Azami   +3 more
doaj   +1 more source