Results 41 to 50 of about 808,398 (185)
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
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Lubricants, 2023 The current damage is the most stubborn and difficult fault of high-power motor bearings because its vibration characteristics are easily confused with those of ordinary bearing mechanical faults.
Guangbin Wang +3 more
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, 2016 Multiscale entropy (MSE) is an appealing tool to characterize the complexity of time series over multiple temporal scales. Recent developments in the field have tried to extend the MSE technique in different ways. Building on these trends, we propose the
Azami, Hamed, Escudero, Javier
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Application of multiscale fuzzy entropy features for multilevel subject-dependentemotion recognition
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2019 Emotion recognition can be used in clinical and nonclinical situations. Despite previous works which mostly used time and frequency features of electroencephalogram (EEG) signals in subject-dependent emotion recognition issues, we used multiscale fuzzy entropy as a nonlinear dynamic feature.
Hamze Lotfalinezhad, Ali Maleki
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Weakly fuzzy topological entropy [PDF]
, 2022 summary:In 2005, İ. Tok fuzzified the notion of the topological entropy R. A. Adler et al. (1965) using the notion of fuzzy compactness of C. L. Chang (1968).
Afsan, B M Uzzal
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Refined composite multiscale fuzzy entropy based fault diagnosis of diesel engine
Journal of Low Frequency Noise, Vibration and Active Control, 2022 Due to complicated transfer paths and strong background noise interference, the fault pattern information deeply hides in common features of the vibration signal at the engine surface. In this study, the refined composite multiscale fuzzy entropy (RCMFE) used to measure the irregularity and self-similarity of time series is proposed to quantify the ...
Junhong Zhang +7 more
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Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation [PDF]
, 2018 © 2017 IEEE. In recent years, the concept of entropy has been widely used to measure the dynamic complexity of signals. Since the state of complexity of human beings is significantly affected by their health state, developing accurate complexity ...
Zehong Cao +3 more
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Frontiers in Physiology, 2021 Previous studies have explored the relationship between the complexity of local blood flow signals and heart rate variability (HRV) under different thermal stimulations. However, the relationship between the complexity of local blood flow signals and HRV
Shuyong Jia +6 more
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Exponential entropy on intuitionistic fuzzy sets [PDF]
, 2013 summary:In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy entropy measure is proposed in the setting of Atanassov's intuitionistic fuzzy set theory. This measure is a generalized version of exponential fuzzy
Verma, Rajkumar, Sharma, Bhu Dev
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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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