Results 21 to 30 of about 10,393 (254)
Machines, 2023 The fault diagnosis of a gearbox is crucial to ensure its safe operation. Entropy has become a common tool for measuring the complexity of time series. However, entropy bias may occur when the data are not long enough or the scale becomes larger.
Xiang Wang, Han Jiang
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Entropy of Proteins Using Multiscale Cell Correlation [PDF]
Journal of Chemical Information and Modeling, 2020 A new multiscale method is presented to calculate the entropy of proteins from molecular dynamics simulations. Termed Multiscale Cell Correlation (MCC), the method decomposes the protein into sets of rigid-body units based on their covalent-bond connectivity at three levels of hierarchy: molecule, residue, and united atom.
Arghya Chakravorty +2 more
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Fractional Refined Composite Multiscale Fuzzy Entropy of International Stock Indices
Entropy, 2019 Fractional refined composite multiscale fuzzy entropy (FRCMFE), which aims to relieve the large fluctuation of fuzzy entropy (FuzzyEn) measure and significantly discriminate different short-term financial time series with noise, is proposed to quantify ...
Zhiyong Wu, Wei Zhang
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Variable-Step Multiscale Fuzzy Dispersion Entropy: A Novel Metric for Signal Analysis
Entropy, 2023 Fuzzy dispersion entropy (FuzDE) is a newly proposed entropy metric, which combines the superior characteristics of fuzzy entropy (FE) and dispersion entropy (DE) in signal analysis.
Yuxing Li +4 more
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Multiscale Mesoscopic Entropy of Driven Macroscopic Systems [PDF]
Entropy, 2013 How do macroscopic systems react to imposed external forces? Attempts to answer this question by a general principle have a long history. The general feeling is that the macroscopic systems in their reaction to imposed external forces follow some kind of optimization strategy in which their internal structure is changed so that they offer the least ...
Miroslav Grmela +3 more
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Shock and Vibration, 2020 Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and ...
Fuming Zhou +3 more
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Multivariate Generalized Multiscale Entropy Analysis [PDF]
Entropy, 2016 Multiscale entropy (MSE) was introduced in the 2000s to quantify systems’ complexity. MSE relies on (i) a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales; (ii) the computation of the sample entropy for each coarse-grained time series.
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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 +3 more
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Multiscale permutation entropy for two-dimensional patterns
Pattern Recognition Letters, 2021 Abstract Complexity measures are important to understand and analyze systems with one dimensional data. However, extension of these methods to images (two dimensional data) are much less usual. Bidimensional multiscale sample entropy ( M S E 2 D ) has recently been proposed as a new complexity measure for texture evaluation. However,
Morel, Cristina, Humeau-Heurtier, Anne
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Entropy, 2018 Quantifying complexity from heart rate variability (HRV) series is a challenging task, and multiscale entropy (MSE), along with its variants, has been demonstrated to be one of the most robust approaches to achieve this goal.
Frederico Sassoli Fazan +4 more
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