Results 41 to 50 of about 456,367 (154)

Variational Embedding Multiscale Sample Entropy: A Tool for Complexity Analysis of Multichannel Systems

Entropy, 2021
Entropy-based methods have received considerable attention in the quantification of structural complexity of real-world systems. Among numerous empirical entropy algorithms, conditional entropy-based methods such as sample entropy, which are associated ...
Hongjian Xiao, Danilo P. Mandic
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Fault Diagnosis of Hydroelectric Units Based on a Novel Multiscale Fractional-Order Weighted Permutation Entropy

Fractal and Fractional, 2022
To improve the noise immunity, stability and sensitivity to different signal types in the hydroelectric unit fault diagnosis model, a hydroelectric unit fault diagnosis model based on improved multiscale fractional-order weighted permutation entropy ...
Wenjing Zhang, Yuanchen Gao, Shizhe Peng, Dongdong Zhou, Bin Wang   +4 more
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Multiscale permutation entropy and supervised classifiers for state detection in an ICE

Journal of Physics: Conference Series, 2021
Abstract Entropy has been positioned as a measurement capable of detecting irregularities and uncertainties in time series. Specifically, Multiscale Permutation Entropy (MPE) has positioned itself as an alternative to classical characterization methodologies, managing to identify nonlinear dynamics present in non-stationary signals.
J C Mejía, J D Echeverry, H F Quintero
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Graph Multi-Scale Permutation Entropy for Bearing Fault Diagnosis

Sensors, 2023
Bearing faults are one kind of primary failure in rotatory machines. To avoid economic loss and casualties, it is important to diagnose bearing faults accurately. Vibration-based monitoring technology is widely used to detect bearing faults. Graph signal
Qingwen Fan, Yuqi Liu, Jingyuan Yang, Dingcheng Zhang   +3 more
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Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network

Sensors, 2020
As an important research direction of human–computer interaction technology, gesture recognition is the key to realizing sign language translation. To improve the accuracy of gesture recognition, a new gesture recognition method based on four channel ...
Wenguo Li, Zhizeng Luo, Yan Jin, Xugang Xi   +3 more
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Composite Multivariate Multi-Scale Permutation Entropy and Laplacian Score Based Fault Diagnosis of Rolling Bearing

Entropy, 2022
As a powerful tool for measuring complexity and randomness, multivariate multi-scale permutation entropy (MMPE) has been widely applied to the feature representation and extraction of multi-channel signals.
Wanming Ying, Jinyu Tong, Zhilin Dong, Haiyang Pan, Qingyun Liu, Jinde Zheng   +5 more
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Refined Composite Multiscale Fluctuation Dispersion Entropy and Supervised Manifold Mapping for Planetary Gearbox Fault Diagnosis

Machines, 2023
A novel fault diagnosis scheme was developed to address the difficulty of feature extraction for planetary gearboxes using refined composite multiscale fluctuation dispersion entropy (RCMFDE) and supervised manifold mapping. The RCMFDE was first utilized
Haocheng Su, Zhenya Wang, Yuxiang Cai, Jiaxin Ding, Xinglong Wang, Ligang Yao   +5 more
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Rolling Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and SOA-SVM

Machines, 2022
The service conditions of underground coal mine equipment are poor, and it is difficult to accurately extract the fault characteristics of rolling bearings. In order to better improve the accuracy of the fault identification of rolling bearings, a fault-detection method based on multiscale permutation entropy and SOA-SVM is proposed.
Xi Zhang, Hongju Wang, Mingming Ren, Mengyun He, Lei Jin   +4 more
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Applying Improved Multiscale Fuzzy Entropy for Feature Extraction of MI-EEG

Applied Sciences, 2017
Electroencephalography (EEG) is considered the output of a brain and it is a bioelectrical signal with multiscale and nonlinear properties. Motor Imagery EEG (MI-EEG) not only has a close correlation with the human imagination and movement intention but ...
Ming-ai Li, Hai-na Liu, Wei Zhu, Jin-fu Yang   +3 more
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Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis

Entropy
To enhance the performance of entropy algorithms in analyzing complex time series, generalized Gaussian distribution improved permutation entropy (GGDIPE) and its multiscale variant (MGGDIPE) are proposed in this paper.
Kun Zheng, Hong-Seng Gan, Jun Kit Chaw, Sze-Hong Teh, Zhe Chen   +4 more
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