Cargando…

Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing

The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, and low signal-to-noise ratio. The advantages of entropy calculation in analyzing time series data were combined with the high calculation accuracy of Multiscale Fuzzy Entropy (MFE)...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yuan, Qiang, Lv, Mingchen, Zhou, Ruiping, Liu, Hong, Liang, Chongkun, Cheng, Lijiao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377953/ https://www.ncbi.nlm.nih.gov/pubmed/37509995 http://dx.doi.org/10.3390/e25071049

Ejemplares similares

Fault Diagnosis for Rolling Element Bearings Based on Feature Space Reconstruction and Multiscale Permutation Entropy
por: Zhang, Weibo, et al.
Publicado: (2019)

Rolling Bearing Diagnosis Based on Composite Multiscale Weighted Permutation Entropy
por: Gan, Xiong, et al.
Publicado: (2018)

Composite Multivariate Multi-Scale Permutation Entropy and Laplacian Score Based Fault Diagnosis of Rolling Bearing
por: Ying, Wanming, et al.
Publicado: (2022)

Composite Multiscale Transition Permutation Entropy-Based Fault Diagnosis of Bearings
por: Guo, Jing, et al.
Publicado: (2022)

Composite Interpolation-Based Multiscale Fuzzy Entropy and Its Application to Fault Diagnosis of Rolling Bearing
por: Liu, Qingyun, et al.
Publicado: (2019)

A New Fuzzy Logic Classifier Based on Multiscale Permutation Entropy and Its Application in Bearing Fault Diagnosis
por: Du, Wenhua, et al.
Publicado: (2019)

Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy
por: Lv, Zhongliang, et al.
Publicado: (2022)

A Rolling Bearing Fault Classification Scheme Based on k-Optimized Adaptive Local Iterative Filtering and Improved Multiscale Permutation Entropy
por: Zhang, Yi, et al.
Publicado: (2021)

Time-Shift Multiscale Fuzzy Entropy and Laplacian Support Vector Machine Based Rolling Bearing Fault Diagnosis
por: Zhu, Xiaolong, et al.
Publicado: (2018)

Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy
por: Yan, Xiaoan, et al.
Publicado: (2021)

Optimized Adaptive Local Iterative Filtering Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis
por: Lv, Yong, et al.
Publicado: (2018)

Fault Recognition of Rolling Bearings Based on Parameter Optimized Multi-Scale Permutation Entropy and Gath-Geva
por: Wang, Haiming, et al.
Publicado: (2021)

Fault Diagnosis Method for Rolling Bearings Based on Composite Multiscale Fluctuation Dispersion Entropy
por: Gan, Xiong, et al.
Publicado: (2019)

Hierarchical Amplitude-Aware Permutation Entropy-Based Fault Feature Extraction Method for Rolling Bearings
por: Li, Zhe, et al.
Publicado: (2022)

Refined Composite Multiscale Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis
por: Rostaghi, Mostafa, et al.
Publicado: (2023)

Fault Diagnosis for Rail Vehicle Axle-Box Bearings Based on Energy Feature Reconstruction and Composite Multiscale Permutation Entropy
por: Wang, Xiaochao, et al.
Publicado: (2019)

Fault Diagnosis of Rolling Element Bearings with a Two-Step Scheme Based on Permutation Entropy and Random Forests
por: Xue, Xiaoming, et al.
Publicado: (2019)

Multiscale Distribution Entropy and t-Distributed Stochastic Neighbor Embedding-Based Fault Diagnosis of Rolling Bearings
por: Tu, Deyu, et al.
Publicado: (2018)

Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing
por: Dong, Zhilin, et al.
Publicado: (2019)

Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks
por: Li, Hongmei, et al.
Publicado: (2020)

Fault Diagnosis of a Rolling Bearing Based on Adaptive Sparest Narrow-Band Decomposition and RefinedComposite Multiscale Dispersion Entropy
por: Luo, Songrong, et al.
Publicado: (2020)

Data Decomposition Techniques with Multi-Scale Permutation Entropy Calculations for Bearing Fault Diagnosis
por: Yasir, Muhammad Naveed, et al.
Publicado: (2018)

Weighted Kernel Entropy Component Analysis for Fault Diagnosis of Rolling Bearings
por: Zhou, Hongdi, et al.
Publicado: (2017)

A Comprehensive Fault Diagnosis Method for Rolling Bearings Based on Refined Composite Multiscale Dispersion Entropy and Fast Ensemble Empirical Mode Decomposition
por: Zhang, Weibo, et al.
Publicado: (2019)

A Novel Fault Diagnosis Method for Rolling Bearing Based on Hierarchical Refined Composite Multiscale Fluctuation-Based Dispersion Entropy and PSO-ELM
por: Chen, Yinsheng, et al.
Publicado: (2022)

Multiscale Weighted Permutation Entropy Analysis of Schizophrenia Magnetoencephalograms
por: Bai, Dengxuan, et al.
Publicado: (2022)

Rolling Element Bearing Fault Diagnosis by Combining Adaptive Local Iterative Filtering, Modified Fuzzy Entropy and Support Vector Machine
por: Zhu, Keheng, et al.
Publicado: (2018)

An Effective Bearing Fault Diagnosis Technique via Local Robust Principal Component Analysis and Multi-Scale Permutation Entropy
por: Ge, Mao, et al.
Publicado: (2019)

Remaining Useful Life Prediction of Rolling Bearings Based on Multi-scale Permutation Entropy and ISSA-LSTM
por: Wang, Hongju, et al.
Publicado: (2023)

An Improved Refined Composite Multivariate Multiscale Fuzzy Entropy Method for MI-EEG Feature Extraction
por: Li, Mingai, et al.
Publicado: (2019)

Rotating Machinery Fault Diagnosis Based on Improved Multiscale Amplitude-Aware Permutation Entropy and Multiclass Relevance Vector Machine
por: Chen, Yinsheng, et al.
Publicado: (2019)

Multiscale permutation Rényi entropy and its application for EEG signals
por: Yin, Yinghuang, et al.
Publicado: (2018)

On the Statistical Properties of Multiscale Permutation Entropy: Characterization of the Estimator’s Variance
por: Dávalos, Antonio, et al.
Publicado: (2019)

The IBA-ISMO Method for Rolling Bearing Fault Diagnosis Based on VMD-Sample Entropy
por: Zhuang, Deyu, et al.
Publicado: (2023)

Improvement of Statistical Performance of Ordinal Multiscale Entropy Techniques Using Refined Composite Downsampling Permutation Entropy
por: Dávalos, Antonio, et al.
Publicado: (2020)

Intelligent Fault Identification for Rolling Bearings Fusing Average Refined Composite Multiscale Dispersion Entropy-Assisted Feature Extraction and SVM with Multi-Strategy Enhanced Swarm Optimization
por: Shi, Huibin, et al.
Publicado: (2021)

Optimized Dynamic Mode Decomposition via Non-Convex Regularization and Multiscale Permutation Entropy
por: Dang, Zhang, et al.
Publicado: (2018)

A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier
por: Zhou, Shenghan, et al.
Publicado: (2018)

Intelligent Diagnosis of Rolling Element Bearing Based on Refined Composite Multiscale Reverse Dispersion Entropy and Random Forest
por: Liu, Aiqiang, et al.
Publicado: (2022)

Feature Enhancement Method of Rolling Bearing Based on K-Adaptive VMD and RBF-Fuzzy Entropy
por: Jiao, Jing, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_p7bniiqt79erhg3bdmb44qnac2