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Parameter Analysis of Multiscale Two-Dimensional Fuzzy and Dispersion Entropy Measures Using Machine Learning Classification

Entropy, 2021
International audienceTwo-dimensional fuzzy entropy, dispersion entropy, and their multiscale extensions (MFuzzyEn2D and MDispEn2D, respectively) have shown promising results for image classifications.
Anne Humeau-Heurtier, Mirvana Hilal
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Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy

Digital Signal Processing, 2022
Zhen-Zhen Jin, Yulong Xiao, Deqiang He, Zexian Wei, Ying-Qiang Sun, Wei-Feng Yang   +5 more
semanticscholar   +3 more sources

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

Mechanical Systems and Signal Processing, 2017
Jinde Zheng, Haiyang Pan, Junsheng Cheng   +2 more
exaly   +2 more sources

Intelligent fault detection scheme for constant-speed wind turbines based on improved multiscale fuzzy entropy and adaptive chaotic Aquila optimization-based support vector machine.

ISA transactions, 2023
Timely and effective fault detection is essential to ensure the safe and reliable operation of wind turbines. However, due to the complex kinematic mechanisms and harsh working environments of wind turbine equipment, it is difficult to extract sensitive ...
Zhenya Wang, Gaosong Li, L. Yao, Yuxiang Cai, Tang-mao Lin, Jun Zhang, Hui Dong   +6 more
semanticscholar   +1 more source

Generalized refined composite multiscale fuzzy entropy and multi-cluster feature selection based intelligent fault diagnosis of rolling bearing.

ISA transactions, 2021
Extracting the failure related information from vibration signals is a very important aspect of vibration-based fault detection for rolling bearing Multiscale entropy and its improvement, multiscale fuzzy entropy (MFE), are significant complexity measure
Jinde Zheng, Haiyang Pan, Jinyu Tong, Qing-Yun Liu   +3 more
semanticscholar   +1 more source

A Study of Sleep Stages Threshold Based on Multiscale Fuzzy Entropy

2018
The classification of sleep stages based on EEG signals has become a prerequisite for monitoring sleep quality and diagnosing sleep-related diseases. Many researchers have conducted related research work. But, they often overlook the effect of the extracted characteristics on actual sleep staging results and the interpretation in psychology and ...
Xuexiao Shao, Bin Hu 0001, Yalin Li, Xiangwei Zheng 0001   +3 more
openaire   +2 more sources

Analysis of Complex Time Series Using a Modified Multiscale Fuzzy Entropy Algorithm

2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), 2016
Multiscale fuzzy entropy (MFE) is an effective algorithm which has been successfully applied in many fields for measuring the complexity of a time series. Though, MFE can yield inaccurate entropy estimations as the coarse-graining procedure used by the algorithm reduces the length of the time series under investigation.
Tian Han 0004, Cheng Cheng Shi, Zhen Bo Wei, Tian Ran Lin   +3 more
openaire   +1 more source

Analysis of biceps brachii sEMG signal using Multiscale Fuzzy Approximate Entropy

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
In this work, an attempt has been made to differentiate sEMG signals under muscle fatigue and non-fatigue conditions using multiscale features. Signals are recorded from biceps brachii muscle of 50 normal adults during repetitive dynamic contractions. After preprocessing, the signal is divided into six segments, out of which first and last segments are
Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, S. Ramakrishnan 0001   +2 more
openaire   +3 more sources

An intelligent technique for posture and fall detection using multiscale entropy analysis and fuzzy logic

2016 IEEE Region 10 Conference (TENCON), 2016
Recognition of human body posture from the signals of wearable sensor has attracted a great interests in many applications, such as health care, aged care and sports. Main aim of the presented work is to recognize the basic activities of daily living (ADL) and detection of fall using two triaxial accelerometer located at the chest and thigh of the ...
Alok Verma, Reshma A. Merchant, Santhosh Seetharaman, Haoyong Yu   +3 more
openaire   +1 more source

Multiscale Fuzzy-Entropy Approach for Vascular Network Delineation in Retinal Images

2021
Temitope Mapayi, Pius A. Owolawi
openaire   +1 more source