Results 41 to 50 of about 781,500 (170)

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

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

Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy

Italian National Conference on Sensors, 2022
The working environment of rotating machines is complex, and their key components are prone to failure. The early fault diagnosis of rolling bearings is of great significance; however, extracting the single scale fault feature of the early weak fault of ...
Zhong-Liang Lv, Senping Han, Li Peng, Lin Yang, Yu-Jiang Cao   +4 more
semanticscholar   +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

Refined Composite Multivariate Multiscale Dispersion Entropy and Its Application to Fault Diagnosis of Rolling Bearing

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, Jinde Zheng, Haiyang Pan, Jinyu Tong, Yifang Zhang   +4 more
doaj   +1 more source

Adaptive Local Mean Decomposition and Multiscale-Fuzzy Entropy-Based Algorithms for the Detection of DC Series Arc Faults in PV Systems

Energies, 2022
DC series arc fault detection is essential for improving the productivity of photovoltaic (PV) stations. The DC series arc fault also poses severe fire hazards to the solar equipment and surrounding building.
Li-Na Wang, E. Lodhi, Pu Yang, Hongcheng Qiu, W. ur Rehman, Zeeshan Lodhi, Tariku Sinshaw Tamir, M. A. Khan   +7 more
semanticscholar   +1 more source

Research on Shaft Current Damage Identification of Variable Condition Motor Bearings Based on Multiscale Feature Label Propagation and Manifold Metric Transfer

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, Shubiao Zhao, Zhixian Zhong, Dong Zeng   +3 more
doaj   +1 more source

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
openaire   +1 more source

A New Bearing Fault Diagnosis Method Based on Refined Composite Multiscale Global Fuzzy Entropy and Self-Organizing Fuzzy Logic Classifier

Shock and Vibration, 2021
In this paper, a new feature extraction method called refined composite multiscale global fuzzy entropy (RCMGFE) is proposed. Based on the proposed RCMGFE and self-organizing fuzzy logic classifier (SOF), a new method for bearing fault diagnosis is ...
Zhang Ziying, Zhang Xi
doaj   +1 more source