Results 31 to 40 of about 4,609 (240)

Two-dimensional multi-scale permutation entropy algorithm based on uniform quantization [PDF]

Tongxin xuebao
In order to solve the problem that equal values in the subsequence lead to an increase in the probability of certain ordinal patterns when extending the permutation entropy algorithm to two-dimensional domain, a two-dimensional multi-scale permutation ...
WANG Daming, SHI Pengfei, LEI Yihang, BIAN Haoran, LIANG Min, CHANG Liwei   +5 more
doaj   +3 more sources

Multivariate multi-scale weighted permutation entropy analysis of EEG complexity for Alzheimer’s disease [PDF]

Cognitive Neurodynamics, 2016
The complexity change of brain activity in Alzheimer's disease (AD) is an interesting topic for clinical purpose. To investigate the dynamical complexity of brain activity in AD, a multivariate multi-scale weighted permutation entropy (MMSWPE) method is proposed to measure the complexity of electroencephalograph (EEG) obtained in AD patients.
Bin Deng, Lihui Cai, Shunan Li
exaly   +3 more sources

Statistical Distribution and Entropy of Multi-Scale Returns: A Coarse-Grained Analysis and Evidence for a New Stylized Fact [PDF]

Entropy
Financial time series often show periods during which market index values or asset prices increase or decrease monotonically. These events are known as price runs, uninterrupted trends, or simply runs.
Alejandro Raúl Hernández-Montoya
doaj   +2 more sources

Railway rolling bearing fault diagnosis based on multi-scale intrinsic mode function permutation entropy and extreme learning machine classifier

Advances in Mechanical Engineering, 2016
The application of the multi-scale intrinsic mode function permutation entropy and extreme learning machine classifiers in railway rolling bearing fault diagnosis is here proposed in this article.
Dechen Yao, Jianwei Yang, Yongliang Bai, Xiaoqing Cheng   +3 more
doaj   +2 more sources

Gearbox Fault Diagnosis Method Based on Improved Multi-scale Mean Permutation Entropy and Parameter Optimization SVM

Jixie chuandong
When a gearbox transmission system fails, the multi-scale mean permutation entropy （MMPE） of different vibration signals corresponds to the fault state to a certain extent.
Guo Panpan, Zhang Wenbin, Cui Ben, Xu Han   +3 more
doaj   +2 more sources

An Effective Bearing Fault Diagnosis Technique via Local Robust Principal Component Analysis and Multi-Scale Permutation Entropy [PDF]

Entropy (Basel), 2019
The acquired bearing fault signal usually reveals nonlinear and non-stationary nature. Moreover, in the actual environment, some other interference components and strong background noise are unavoidable, which lead to the fault feature signal being weak.
Ge M, Lv Y, Zhang Y, Yi C, Ma Y.
europepmc   +4 more sources

Gearbox Fault Diagnosis Method Based on Improved Multi-Scale Mean Permutation Entropy and Parameter Optimization SVM

Jixie chuandong, 2023
When a gearbox transmission system fails, the multi-scale mean permutation entropy (MMPE) of different vibration signals corresponds to the fault state to a certain extent.
Guo Panpan, Zhang Wenbin, Cui Ben, Xu Han   +3 more
doaj   +2 more sources

Combining Multi-Scale Wavelet Entropy and Kernelized Classification for Bearing Multi-Fault Diagnosis

Entropy, 2019
Discriminative feature extraction and rolling element bearing failure diagnostics are very important to ensure the reliability of rotating machines.
Nibaldo Rodriguez, Pablo Alvarez, Lida Barba, Guillermo Cabrera-Guerrero   +3 more
doaj   +2 more sources

A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures

Entropy, 2020
Software aging is a phenomenon referring to the performance degradation of a long-running software system. This phenomenon is an accumulative process during execution, which will gradually lead the system from a normal state to a failure-prone state.
Shuguang Wang, Minyan Lu, Shiyi Kong, Jun Ai   +3 more
doaj   +2 more sources

Advancing entropy analysis for heart rate variability: clinical insights for aging and diabetes [PDF]

Frontiers in Physiology
Heart rate variability (HRV) entropy analysis is an emerging tool for assessing autonomic function, particularly in older and diabetic populations.
Shanglin Yang, Shanglin Yang, Hsientsai Wu, Xuwei Liao, Yuyang Lin, Juin J. Liou, Juin J. Liou   +6 more
doaj   +2 more sources