Results 11 to 20 of about 1,261 (252)

Rolling Bearing Diagnosis Based on Composite Multiscale Weighted Permutation Entropy [PDF]

Entropy, 2018
In this paper, composite multiscale weighted permutation entropy (CMWPE) is proposed to evaluate the complexity of nonlinear time series, and the advantage of the CMWPE method is verified through analyzing the simulated signal. Meanwhile, considering the
Xiong Gan, Hong Lu, Guangyou Yang, Jing Liu   +3 more
doaj   +3 more sources

Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis [PDF]

Entropy
To enhance the performance of entropy algorithms in analyzing complex time series, generalized Gaussian distribution improved permutation entropy (GGDIPE) and its multiscale variant (MGGDIPE) are proposed in this paper.
Kun Zheng, Hong-Seng Gan, Jun Kit Chaw, Sze-Hong Teh, Zhe Chen   +4 more
doaj   +2 more sources

Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis [PDF]

IEEE Access, 2020
Fault diagnosis of rolling bearing is of great importance to ensure high reliability and safety in the industrial machinery system. Entropy measures are useful non-linear indicators for time series complexity analysis and have been widely applied in ...
Zhiqiang Huo, Yu Zhang, Gbanaibolou Jombo, Lei Shu   +3 more
doaj   +2 more sources

A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts [PDF]

Scientific Reports
Computational analysis of infant movement has significant potential to reveal markers of developmental health. We report two studies employing dynamic analyses of motor kinematics and motor behaviours, which characterise movement at two levels, in 9 ...
Yu Wei Chua, Lorena Jiménez-Sánchez, Victoria Ledsham, Sinéad O’Carroll, Ralf F. A. Cox, Ivan Andonovic, Christos Tachtatzis, James P. Boardman, Sue Fletcher-Watson, Philip Rowe, Jonathan Delafield-Butt   +10 more
doaj   +2 more sources

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
doaj   +1 more source

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

Multiscale permutation entropy for two-dimensional patterns

Pattern Recognition Letters, 2021
Abstract Complexity measures are important to understand and analyze systems with one dimensional data. However, extension of these methods to images (two dimensional data) are much less usual. Bidimensional multiscale sample entropy ( M S E 2 D ) has recently been proposed as a new complexity measure for texture evaluation. However,
Morel, Cristina, Humeau-Heurtier, Anne
openaire   +2 more sources

Remaining Useful Life Prediction Model for Rolling Bearings Based on MFPE–MACNN

Entropy, 2022
Aiming to resolve the problem of redundant information concerning rolling bearing degradation characteristics and to tackle the difficulty faced by convolutional deep learning models in learning feature information in complex time series, a prediction ...
Yaping Wang, Jinbao Wang, Sheng Zhang, Di Xu, Jianghua Ge   +4 more
doaj   +1 more source

Application of Variational Mode Decomposition and Multiscale Permutation Entropy in Rolling Bearing Failure Analysis

Shock and Vibration, 2022
The rolling bearing fault test signal has nonstationary and nonlinear characteristics. The feature extraction method based on variational mode decomposition (VMD) and permutation entropy can effectively measure the regularity of the signal and detect ...
Haorui Liu, Haijun Li, Rongyan Wang, Hengwei Zhu, Jianchen Zhang   +4 more
doaj   +1 more source

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
doaj   +1 more source