Results 1 to 10 of about 10,244 (112)

Identification of Electroencephalogram Signals in Alzheimer's Disease by Multifractal and Multiscale Entropy Analysis [PDF]

Frontiers in Neuroscience, 2021
Alzheimer's disease (AD) is the most common form of dementia and is a progressive neurodegenerative disease that primarily develops in old age. In recent years, it has been reported that early diagnosis of AD and early intervention significantly delays ...
Momo Ando, Sou Nobukawa, Sou Nobukawa, Mitsuru Kikuchi, Mitsuru Kikuchi, Tetsuya Takahashi, Tetsuya Takahashi, Tetsuya Takahashi   +7 more
doaj   +2 more sources

Multiscale Entropy-Based Feature Extraction for the Detection of Instability Inception in Axial Compressors [PDF]

Entropy
The detection of instability inception is favorable to avoid compressor instability. In this paper, a multiscale entropy-based feature extraction is developed for the detection of the instability inception in axial compressors.
Yihan Fu, Zheng Zhao, Peng Lin
doaj   +2 more sources

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   +3 more sources

A Refined Composite Multivariate Multiscale Fuzzy Entropy and Laplacian Score-Based Fault Diagnosis Method for Rolling Bearings

Entropy, 2017
The vibration signals of rolling bearings are often nonlinear and non-stationary. Multiscale entropy (MSE) has been widely applied to measure the complexity of nonlinear mechanical vibration signals, however, at present only the single channel vibration ...
Jinde Zheng, Deyu Tu, Haiyang Pan, Xiaolei Hu, Tao Liu, Qingyun Liu   +5 more
doaj   +3 more sources

The Multiscale Entropy Algorithm and Its Variants: A Review

Entropy, 2015
Multiscale entropy (MSE) analysis was introduced in the 2002 to evaluate the complexity of a time series by quantifying its entropy over a range of temporal scales. The algorithm has been successfully applied in different research fields.
Anne Humeau-Heurtier
doaj   +3 more sources

Time Series Analysis Using Composite Multiscale Entropy

Entropy, 2013
Multiscale entropy (MSE) was recently developed to evaluate the complexity of time series over different time scales. Although the MSE algorithm has been successfully applied in a number of different fields, it encounters a problem in that the ...
Kung-Yen Lee, Chun-Chieh Wang, Shiou-Gwo Lin, Chiu-Wen Wu, Shuen-De Wu   +4 more
doaj   +3 more sources

Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine

Entropy, 2012
Bearing fault diagnosis has attracted significant attention over the past few decades. It consists of two major parts: vibration signal feature extraction and condition classification for the extracted features.
Jian-Jiun Ding, Chun-Chieh Wang, Chiu-Wen Wu, Po-Hung Wu, Shuen-De Wu   +4 more
doaj   +3 more sources

Intelligent Fault Diagnosis of Rolling Bearings Based on a Complete Frequency Range Feature Extraction and Combined Feature Selection Methodology

Sensors, 2023
The utilization of multiscale entropy methods to characterize vibration signals has proven to be promising in intelligent diagnosis of mechanical equipment.
Zhengkun Xue, Yukun Huang, Wanyang Zhang, Jinchuan Shi, Huageng Luo   +4 more
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Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing

Entropy, 2023
The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, and low signal-to-noise ratio.
Qiang Yuan, Mingchen Lv, Ruiping Zhou, Hong Liu, Chongkun Liang, Lijiao Cheng   +5 more
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Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM

Entropy, 2021
The goal of the paper is to present a solution to improve the fault detection accuracy of rolling bearings. The method is based on variational mode decomposition (VMD), multiscale permutation entropy (MPE) and the particle swarm optimization-based ...
Maoyou Ye, Xiaoan Yan, Minping Jia
doaj   +1 more source