Cargando…

Improved Dynamic Mode Decomposition and Its Application to Fault Diagnosis of Rolling Bearing

To solve the intractable problems of optimal rank truncation threshold and dominant modes selection strategy of the standard dynamic mode decomposition (DMD), an improved DMD algorithm is introduced in this paper. Distinct from the conventional methods, a convex optimization framework is introduced...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dang, Zhang, Lv, Yong, Li, Yourong, Wei, Guoqian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022056/ https://www.ncbi.nlm.nih.gov/pubmed/29921832 http://dx.doi.org/10.3390/s18061972

Ejemplares similares

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

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

Fault Diagnosis for Rolling Bearings Using Optimized Variational Mode Decomposition and Resonance Demodulation
por: Zhang, Chunguang, et al.
Publicado: (2020)

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

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)

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

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)

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

Simultaneously Low Rank and Group Sparse Decomposition for Rolling Bearing Fault Diagnosis
por: Zheng, Kai, 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)

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)

The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings
por: Sun, Peng, et al.
Publicado: (2017)

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

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

Trivariate Empirical Mode Decomposition via Convex Optimization for Rolling Bearing Condition Identification
por: Lv, Yong, et al.
Publicado: (2018)

Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum
por: Lv, Yong, et al.
Publicado: (2015)

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

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)

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)

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

Health Degradation Monitoring and Early Fault Diagnosis of a Rolling Bearing Based on CEEMDAN and Improved MMSE
por: Lv, Yong, et al.
Publicado: (2018)

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

Application of Teager–Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings
por: Shi, Xiangfu, et al.
Publicado: (2022)

Research on Fault Diagnosis of Gearbox with Improved Variational Mode Decomposition
por: Wang, Zhijian, 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 WGWOA-VMD-SVM
por: Zhou, Junbo, et al.
Publicado: (2022)

GMPSO-VMD Algorithm and Its Application to Rolling Bearing Fault Feature Extraction
por: Ding, Jiakai, et al.
Publicado: (2020)

Bearing Fault Diagnosis Method Based on Improved Singular Value Decomposition Package
por: Zhu, Huibin, et al.
Publicado: (2023)

Rolling-Element Bearing Fault Diagnosis Using Improved LeNet-5 Network
por: Wan, Lanjun, et al.
Publicado: (2020)

Multi-Fault Classification and Diagnosis of Rolling Bearing Based on Improved Convolution Neural Network
por: Zhang, Xiong, et al.
Publicado: (2023)

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

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)

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

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)

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

Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions
por: Liu, Hengchang, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_i1mt5jd158cc87lb4clhh7rfrq