Results 21 to 30 of about 1,261 (252)

Ensemble Improved Permutation Entropy: A New Approach for Time Series Analysis

open access: yesEntropy, 2023
Entropy quantification approaches have gained considerable attention in engineering applications. However, certain limitations persist, including the strong dependence on parameter selection, limited discriminating power, and low robustness to noise.
Zhe Chen   +3 more
doaj   +1 more source

An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE

open access: yesIEEE Access, 2020
Gear transmission is one of the most commonly used transmission methods in mechanical equipment. By analyzing the vibration data of gearbox, an improved deep belief network (DBN) algorithm for gear fault diagnosis based on wavelet packet energy entropy ...
Dongying Han, Xiaoci Guo, Peiming Shi
doaj   +1 more source

Multiscale permutation entropy analysis of electroencephalogram

open access: yesActa Physica Sinica, 2014
We carried out a detailed analysis and a comparison between normal and epileptic electroencephalogram (EEG) based on multiscale permutation entropy. The relationship between multiscale permutation entropy values of EEG and age, and the effect of scale factor on multiscale permutation entropy value were also discussed.
null Yao Wen-Po   +3 more
openaire   +1 more source

Multiscale based nonlinear dynamics analysis of heart rate variability signals.

open access: yesPLoS ONE, 2020
Acceleration change index (ACI) is a fast and easy to understand heart rate variability (HRV) analysis approach used for assessing cardiac autonomic control of the nervous systems.
Syed Zaki Hassan Kazmi   +5 more
doaj   +1 more source

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

open access: yesEntropy, 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   +4 more
doaj   +1 more source

Recognition of Biological Tissue Denaturation Based on Improved Multiscale Permutation Entropy and GK Fuzzy Clustering

open access: yesInformation, 2022
Recognition of biological tissue denaturation is a vital work in high-intensity focused ultrasound (HIFU) therapy. Multiscale permutation entropy (MPE) is a nonlinear signal processing method for feature extraction, widely applied to the recognition of ...
Ziqi Peng, Xian Zhang, Jing Cao, Bei Liu
doaj   +1 more source

Application of Generalized Composite Multiscale Lempel–Ziv Complexity in Identifying Wind Turbine Gearbox Faults

open access: yesEntropy, 2021
Wind turbine gearboxes operate in harsh environments; therefore, the resulting gear vibration signal has characteristics of strong nonlinearity, is non-stationary, and has a low signal-to-noise ratio, which indicates that it is difficult to identify wind
Xiaoan Yan   +3 more
doaj   +1 more source

Multiscale permutation entropy analysis of laser beam wandering in isotropic turbulence [PDF]

open access: yesPhysical Review E, 2017
We have experimentally quantified the temporal structural diversity from the coordinate fluctuations of a laser beam propagating through isotropic optical turbulence. The main focus here is on the characterization of the long-range correlations in the wandering of a thin Gaussian laser beam over a screen after propagating through a turbulent medium. To
Olivares, Felipe   +4 more
openaire   +5 more sources

The Method for Determining Optimal Analysis Length of Vibration Data Based on Improved Multiscale Permutation Entropy

open access: yesShock and Vibration, 2021
Research on damage diagnosis or safety monitoring based on structural vibration response is one of the hot issues in the engineering field. The characteristic information of the structure is obtained by analyzing the structure response data.
Jianwei Zhang   +4 more
doaj   +1 more source

Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method

open access: yesShock and Vibration, 2019
The cracking of piezoelectric ceramics is the main reason of failure of an ultrasonic motor. Since the fault information is too weak to reflect the condition of piezoelectric ceramics especially in the early degradation stage, a fault feature extraction ...
Guoqing An, Hongru Li
doaj   +1 more source

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