Cargando…

Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum

The nonlocal means (NL-Means) method that has been widely used in the field of image processing in recent years effectively overcomes the limitations of the neighborhood filter and eliminates the artifact and edge problems caused by the traditional image denoising methods. Although NL-Means is very...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lv, Yong, Zhu, Qinglin, Yuan, Rui
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2015
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327071/ https://www.ncbi.nlm.nih.gov/pubmed/25585105 http://dx.doi.org/10.3390/s150101182

Ejemplares similares

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

Compound Fault Diagnosis of Rolling Bearing Based on Singular Negentropy Difference Spectrum and Integrated Fast Spectral Correlation
por: Tang, Guiji, et al.
Publicado: (2020)

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

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

Improved Dynamic Mode Decomposition and Its Application to Fault Diagnosis of Rolling Bearing
por: Dang, Zhang, 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 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)

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

Tacholess Envelope Order Analysis and Its Application to Fault Detection of Rolling Element Bearings with Varying Speeds
por: Zhao, Ming, et al.
Publicado: (2013)

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

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)

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

Fault Diagnosis of Rolling Bearings in Primary Mine Fans under Sample Imbalance Conditions
por: Cui, Wei, et al.
Publicado: (2023)

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 Novel Method for Bearing Fault Diagnosis under Variable Speed Based on Envelope Spectrum Fault Characteristic Frequency Band Identification
por: Pei, Di, et al.
Publicado: (2023)

Fault Diagnosis for Rolling Bearings under Variable Conditions Based on Visual Cognition
por: Cheng, Yujie, et al.
Publicado: (2017)

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

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

A Novel Fault Diagnosis Method of Rolling Bearings Based on AFEWT-KDEMI
por: Ge, Mingtao, et al.
Publicado: (2018)

Few-Shot Rolling Bearing Fault Diagnosis with Metric-Based Meta Learning
por: Wang, Sihan, et al.
Publicado: (2020)

Rolling Bearing Fault Diagnosis Based on Markov Transition Field and Residual Network
por: Yan, Jialin, et al.
Publicado: (2022)

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

Rolling Bearing Fault Diagnosis Based on WOA-VMD-MPE and MPSO-LSSVM
por: Jin, Zhihao, et al.
Publicado: (2022)

A Rolling Bearing Fault Diagnosis Method Based on the WOA-VMD and the GAT
por: Wang, Yaping, et al.
Publicado: (2023)

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

Coordinated Approach Fusing RCMDE and Sparrow Search Algorithm-Based SVM for Fault Diagnosis of Rolling Bearings
por: Lv, Jie, et al.
Publicado: (2021)

Rolling Bearing Incipient Fault Diagnosis Method Based on Improved Transfer Learning with Hybrid Feature Extraction
por: Yang, Zhengni, et al.
Publicado: (2021)

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

Quantitative and Localization Fault Diagnosis Method of Rolling Bearing Based on Quantitative Mapping Model
por: Wang, Jialong, et al.
Publicado: (2018)

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

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

Rolling-Element Bearing Fault Diagnosis Using Improved LeNet-5 Network
por: Wan, Lanjun, 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)

Online Domain Adaptation for Rolling Bearings Fault Diagnosis with Imbalanced Cross-Domain Data
por: Chao, Ko-Chieh, et al.
Publicado: (2022)

A New Fault Diagnosis of Rolling Bearing Based on Markov Transition Field and CNN
por: Wang, Mengjiao, et al.
Publicado: (2022)

Rolling Bearing Fault Diagnosis Using Hybrid Neural Network with Principal Component Analysis
por: You, Keshun, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_4vp2q0pu3414f2qsfr40fke9d0