Cargando…

Intelligent Diagnosis of Rolling Element Bearing Based on Refined Composite Multiscale Reverse Dispersion Entropy and Random Forest

Rolling bearings are the vital components of large electromechanical equipment, thus it is of great significance to develop intelligent fault diagnoses for them to improve equipment operation reliability. In this paper, a fault diagnosis method based on refined composite multiscale reverse dispersio...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Aiqiang, Yang, Zuye, Li, Hongkun, Wang, Chaoge, Liu, Xuejun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914872/ https://www.ncbi.nlm.nih.gov/pubmed/35271193 http://dx.doi.org/10.3390/s22052046

Ejemplares similares

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)

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

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

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)

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

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)

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

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

Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing
por: Yuan, Qiang, et al.
Publicado: (2023)

Composite Interpolation-Based Multiscale Fuzzy Entropy and Its Application to Fault Diagnosis of Rolling Bearing
por: Liu, Qingyun, 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)

Bearing Fault Diagnosis Using Refined Composite Generalized Multiscale Dispersion Entropy-Based Skewness and Variance and Multiclass FCM-ANFIS
por: Rostaghi, Mostafa, et al.
Publicado: (2021)

A Multiscale Overview of Modelling Rolling Cyclic Fatigue in Bearing Elements
por: Abdullah, Muhammad U., et al.
Publicado: (2022)

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

An Integrated Approach Based on Swarm Decomposition, Morphology Envelope Dispersion Entropy, and Random Forest for Multi-Fault Recognition of Rolling Bearing
por: Wan, Shuting, et al.
Publicado: (2019)

A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction
por: Ma, Jianpeng, et al.
Publicado: (2021)

A Refined Composite Multivariate Multiscale Fluctuation Dispersion Entropy and Its Application to Multivariate Signal of Rotating Machinery
por: Xi, Chenbo, 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)

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

Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network
por: Ma, Jianpeng, et al.
Publicado: (2021)

Intelligent Fault Diagnosis of Rolling Element Bearings Based on Modified AlexNet †
por: Mohiuddin, Mohammad, et al.
Publicado: (2023)

Multivariate Multiscale Dispersion Entropy of Biomedical Times Series
por: Azami, Hamed, et al.
Publicado: (2019)

Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO
por: Fu, Wenlong, et al.
Publicado: (2019)

Fractional Refined Composite Multiscale Fuzzy Entropy of International Stock Indices
por: Wu, Zhiyong, et al.
Publicado: (2019)

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)

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

Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy
por: Azami, Hamed, et al.
Publicado: (2018)

PV System Failures Diagnosis Based on Multiscale Dispersion Entropy
por: Lebreton, Carole, et al.
Publicado: (2022)

Multiscale Cumulative Residual Dispersion Entropy with Applications to Cardiovascular Signals
por: Kim, Youngjun, et al.
Publicado: (2023)

Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis
por: Azami, Hamed, et al.
Publicado: (2017)

Refined Multiscale Entropy Using Fuzzy Metrics: Validation and Application to Nociception Assessment †
por: Valencia, José F., et al.
Publicado: (2019)

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

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

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

Intelligent Online Monitoring of Rolling Bearing: Diagnosis and Prognosis
por: Hotait, Hassane, et al.
Publicado: (2021)

Multiscale entropy
por: Starck, J L, et al.
Publicado: (1999)

Noise Reduction Method of Underwater Acoustic Signals Based on CEEMDAN, Effort-To-Compress Complexity, Refined Composite Multiscale Dispersion Entropy and Wavelet Threshold Denoising
por: Li, Guohui, et al.
Publicado: (2018)

Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum
por: Zhao, Xuejun, et al.
Publicado: (2019)

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)

Cannot write session to /tmp/vufind_sessions/sess_i4h4snvdhhe6fh3djudd81h4pg