Results 21 to 30 of about 456,367 (154)

Fault Diagnosis of Rolling Bearing Using Multiscale Amplitude-Aware Permutation Entropy and Random Forest

Algorithms, 2019
A rolling bearing is an important connecting part between rotating machines. It is susceptible to mechanical stress and wear, which affect the running state of bearings.
Yinsheng Chen, Tinghao Zhang, Wenjie Zhao, Zhongming Luo, Kun Sun   +4 more
doaj   +2 more sources

Fault Diagnosis of Rolling Element Bearings with a Two-Step Scheme Based on Permutation Entropy and Random Forests

Entropy, 2019
This study presents a two-step fault diagnosis scheme combined with statistical classification and random forests-based classification for rolling element bearings.
Xiaoming Xue, Chaoshun Li, Suqun Cao, Jinchao Sun, Liyan Liu   +4 more
doaj   +2 more sources

Complexity of Horizontal Oil–Gas–Water Flows in Deepwater Simulation Well: Insights from Multiscale Phase Permutation Entropy Analysis

Energies
Deepwater oil–gas–water three-phase flow is widely regarded as a multiphase system. Intense interfacial interactions cause significant nonuniform fluid distributions in the wellbore, giving rise to complex nonlinear dynamics. In this study, a distributed
Lusheng Zhai, Yukun Huang, Jiawei Qiao, Jingru Cui   +3 more
doaj   +2 more sources

Twenty Years of Entropy Research: A Bibliometric Overview

Entropy, 2019
Entropy, founded in 1999, is an emerging international journal in the field of entropy and information studies. In the year of 2018, the journal enjoyed its 20th anniversary, and therefore, it is quite reasonable and meaningful to conduct a retrospective
Weishu Li, Yuxiu Zhao, Qi Wang, Jian Zhou   +3 more
doaj   +2 more sources

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

Gear compound fault detection method based on improved multiscale permutation entropy and local mean decomposition [PDF]

, 2021
The traditional multiscale entropy algorithm shows inconsistency because some points are ignored when the signal is coarsened. To solve this problem, this paper proposes an improved multiscale permutation entropy (IMSPE).
Qinge Dai, Yongqi Chen, Yang Chen, Chen, Yang, Chen, Yongqi, Dai, Qinge   +5 more
core   +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

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

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

IEEE 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