Cargando…

Fault Diagnosis for Rolling Bearings Using Optimized Variational Mode Decomposition and Resonance Demodulation

It is difficult to extract the fault signal features of locomotive rolling bearings and the accuracy of fault diagnosis is low. In this paper, a novel fault diagnosis method based on the optimized variational mode decomposition (VMD) and resonance demodulation technology, namely GNVRFD, is proposed...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Chunguang, Wang, Yao, Deng, Wu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517282/ https://www.ncbi.nlm.nih.gov/pubmed/33286510 http://dx.doi.org/10.3390/e22070739

Ejemplares similares

Rolling Bearing Fault Diagnosis Based on Successive Variational Mode Decomposition and the EP Index
por: Guo, Yuanjing, et al.
Publicado: (2022)

Application of Parameter Optimized Variational Mode Decomposition Method in Fault Feature Extraction of Rolling Bearing
por: Liang, Tao, et al.
Publicado: (2021)

Improved Dynamic Mode Decomposition and Its Application to Fault Diagnosis of Rolling Bearing
por: Dang, Zhang, et al.
Publicado: (2018)

Research on Fault Diagnosis of Rolling Bearings Based on Variational Mode Decomposition Improved by the Niche Genetic Algorithm
por: Shi, Ruimin, et al.
Publicado: (2022)

Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis
por: Chen, Xianglong, et al.
Publicado: (2017)

The Partial Reconstruction Symplectic Geometry Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis
por: Liu, Yanfei, et al.
Publicado: (2023)

Fault Diagnosis for Rolling Bearing of Combine Harvester Based on Composite-Scale-Variable Dispersion Entropy and Self-Optimization Variational Mode Decomposition Algorithm
por: Jiang, Wei, et al.
Publicado: (2023)

Fault Diagnosis of Rolling Bearings Based on WPE by Wavelet Decomposition and ELM
por: Xi, Caiping, et al.
Publicado: (2022)

Rolling Bearing Fault Diagnosis Based on Optimal Notch Filter and Enhanced Singular Value Decomposition
por: Pang, Bin, et al.
Publicado: (2018)

Simultaneously Low Rank and Group Sparse Decomposition for Rolling Bearing Fault Diagnosis
por: Zheng, Kai, et al.
Publicado: (2020)

Negentropy Spectrum Decomposition and Its Application in Compound Fault Diagnosis of Rolling Bearing
por: Xu, Yonggang, et al.
Publicado: (2019)

A Novel Method Based on Multi-Island Genetic Algorithm Improved Variational Mode Decomposition and Multi-Features for Fault Diagnosis of Rolling Bearing
por: Liang, Tao, et al.
Publicado: (2020)

A Compound Fault Diagnosis for Rolling Bearings Method Based on Blind Source Separation and Ensemble Empirical Mode Decomposition
por: Wang, Huaqing, et al.
Publicado: (2014)

Multi-Fault Diagnosis of Rolling Bearings via Adaptive Projection Intrinsically Transformed Multivariate Empirical Mode Decomposition and High Order Singular Value Decomposition
por: Yuan, Rui, et al.
Publicado: (2018)

A Fault Diagnosis Method of Bogie Axle Box Bearing Based on Spectrum Whitening Demodulation
por: Zheng, Zejun, et al.
Publicado: (2020)

An Improved Bearing Fault Diagnosis Model of Variational Mode Decomposition Based on Linked Extension Neural Network
por: Wang, Tichun, et al.
Publicado: (2022)

Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis
por: Song, Xinmin, et al.
Publicado: (2023)

Research on Fault Diagnosis of Gearbox with Improved Variational Mode Decomposition
por: Wang, Zhijian, et al.
Publicado: (2018)

Trivariate Empirical Mode Decomposition via Convex Optimization for Rolling Bearing Condition Identification
por: Lv, Yong, 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)

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)

Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features
por: Zhan, Liwei, et al.
Publicado: (2019)

Early Fault Detection of Rolling Bearings Based on Time-Varying Filtering Empirical Mode Decomposition and Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted
por: Song, Shuo, et al.
Publicado: (2023)

Underdetermined Blind Source Separation with Variational Mode Decomposition for Compound Roller Bearing Fault Signals
por: Tang, Gang, et al.
Publicado: (2016)

Rolling Bearing Fault Diagnosis Based on an Improved HTT Transform
por: Pang, Bin, et al.
Publicado: (2018)

Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM
por: Zhou, Junbo, et al.
Publicado: (2022)

Improved Variational Mode Decomposition and CNN for Intelligent Rotating Machinery Fault Diagnosis
por: Xiao, Qiyang, et al.
Publicado: (2022)

Fault Diagnosis of Rolling Bearing Based on HPSO Algorithm Optimized CNN-LSTM Neural Network
por: Tian, He, et al.
Publicado: (2023)

An improved multi-scale branching convolutional neural network for rolling bearing fault diagnosis
por: Xu, Meng, et al.
Publicado: (2023)

A Novel Demodulation Analysis Technique for Bearing Fault Diagnosis via Energy Separation and Local Low-Rank Matrix Approximation
por: Lv, Yong, et al.
Publicado: (2019)

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)

Bearing Fault Diagnosis Using Piecewise Aggregate Approximation and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
por: Hu, Lei, et al.
Publicado: (2022)

Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element Bearings
por: Duan, Jie, et al.
Publicado: (2018)

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

Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM
por: Ye, Maoyou, et al.
Publicado: (2021)

Fault Diagnosis of Rolling Bearing Based on a Priority Elimination Method
por: Xiang, Chuan, et al.
Publicado: (2023)

A Novel Fault Diagnosis Scheme for Rolling Bearing Based on Convex Optimization in Synchroextracting Chirplet Transform
por: You, Guanghui, et al.
Publicado: (2020)

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

Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm
por: Shen, Weijie, et al.
Publicado: (2023)

A Sparsity-Promoted Decomposition for Compressed Fault Diagnosis of Roller Bearings
por: Wang, Huaqing, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_3eippijjajeequbbq8q5td8ive