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Variable-Step Multiscale Fuzzy Dispersion Entropy: A Novel Metric for Signal Analysis [PDF]
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
doaj +8 more sources
Refined Composite Multiscale Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis [PDF]
Entropy, 2023 Rotary machines often exhibit nonlinear behavior due to factors such as nonlinear stiffness, damping, friction, coupling effects, and defects. Consequently, their vibration signals display nonlinear characteristics.
Mostafa Rostaghi +3 more
doaj +8 more sources
Parameter Analysis of Multiscale Two-Dimensional Fuzzy and Dispersion Entropy Measures Using Machine Learning Classification [PDF]
Entropy, 2021 Two-dimensional fuzzy entropy, dispersion entropy, and their multiscale extensions (MFuzzyEn2D and MDispEn2D, respectively) have shown promising results for image classifications.
Ryan Furlong +3 more
doaj +6 more sources
Research on Feature Extraction of Ship-Radiated Noise Based on Multiscale Fuzzy Dispersion Entropy
Journal of Marine Science and Engineering, 2023 In recent years, fuzzy dispersion entropy (FDE) has been proposed and used in the feature extraction of various types of signals. However, FDE can only analyze a signal from a single time scale during practical application and ignores some important ...
Yuxing Li +3 more
doaj +5 more sources
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
doaj +4 more sources
Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases [PDF]
IEEE Access, 2019 Fluctuation-based dispersion entropy (FDispEn) is a new approach to estimate the dynamical variability of the fluctuations of signals. It is based on Shannon entropy and fluctuation-based dispersion patterns.
Hamed Azami +6 more
doaj +4 more sources
Quantifying Heart Rate Variability Using Multiscale Fuzzy Dispersion Entropy
IEEE AccessHeart rate variability (HRV), which is the variation of inter-beat intervals, exhibits complex characteristics on multiple temporal scales due to the balancing function of the autonomic nervous system.
Chae-Min Kim, Young-Seok Choi
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Multivariate Multiscale Dispersion Entropy of Biomedical Times Series [PDF]
Entropy, 2019 Due to the non-linearity of numerous physiological recordings, non-linear analysis of multi-channel signals has been extensively used in biomedical engineering and neuroscience.
Hamed Azami +2 more
doaj +4 more sources
CoatingsAccurate detection of surface defects such as wear, cracks, and flaws in metallic components is critical for equipment reliability and longevity, representing a core challenge in surface integrity engineering. To solve the information loss, low estimation accuracy and poor noise immunity associated with Multiscale Dispersion Entropy (MDE) are utilized ...
Jingyuan Ma, Chengjiang Zhou
exaly +3 more sources
IEEE Access, 2019 Many nonlinear dynamic and statistic methods, including multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), have been widely studied and employed to fault diagnosis of the rolling bearing. Multiscale dispersion entropy (MDE) is a powerful
Congzhi Li +4 more
doaj +3 more sources