Cargando…

Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding

Fault diagnosis is essentially a kind of pattern recognition. The measured signal samples usually distribute on nonlinear low-dimensional manifolds embedded in the high-dimensional signal space, so how to implement feature extraction, dimensionality reduction and improve recognition performance is a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Xiang, Zheng, Yuan, Zhao, Zhenzhou, Wang, Jinping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2015
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541876/ https://www.ncbi.nlm.nih.gov/pubmed/26153771 http://dx.doi.org/10.3390/s150716225

Ejemplares similares

Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems
por: Pham, Minh Tuan, et al.
Publicado: (2020)

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

Bearing Fault Diagnosis Based on Energy Spectrum Statistics and Modified Mayfly Optimization Algorithm
por: Liu, Yuhu, et al.
Publicado: (2021)

Bearing Fault Feature Extraction and Fault Diagnosis Method Based on Feature Fusion
por: Zhu, Huibin, et al.
Publicado: (2021)

Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization Observer
por: Piltan, Farzin, et al.
Publicado: (2018)

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

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

A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals
por: Altaf, Muhammad, et al.
Publicado: (2022)

Color Recurrence Plots for Bearing Fault Diagnosis
por: Petrauskiene, Vilma, et al.
Publicado: (2022)

Bearing Fault Diagnosis Based on Randomized Fisher Discriminant Analysis
por: Ye, Hejun, et al.
Publicado: (2022)

An Explainable AI-Based Fault Diagnosis Model for Bearings
por: Hasan, Md Junayed, et al.
Publicado: (2021)

An Automatic Bearing Fault Diagnosis Method Based on Characteristics Frequency Ratio
por: Wu, Dengyun, et al.
Publicado: (2020)

A New Method of Wheelset Bearing Fault Diagnosis
por: Sun, Runtao, et al.
Publicado: (2022)

An AVMD-DBN-ELM Model for Bearing Fault Diagnosis
por: Lei, Xue, et al.
Publicado: (2022)

Intelligent Compound Fault Diagnosis of Roller Bearings Based on Deep Graph Convolutional Network
por: Chen, Caifeng, et al.
Publicado: (2023)

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

Self-Adaptive Spectrum Analysis Based Bearing Fault Diagnosis
por: Wu, Jie, et al.
Publicado: (2018)

A Bearing Fault Diagnosis Method Based on PAVME and MEDE
por: Yan, Xiaoan, et al.
Publicado: (2021)

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

A new intelligent bearing fault diagnosis model based on triplet network and SVM
por: Yang, Kaisi, et al.
Publicado: (2022)

Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection
por: Maliuk, Andrei S., et al.
Publicado: (2021)

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

Bearing Fault Diagnosis Considering the Effect of Imbalance Training Sample
por: Lin, Lin, et al.
Publicado: (2019)

Combine Harvester Bearing Fault-Diagnosis Method Based on SDAE-RCmvMSE
por: Yang, Guangyou, et al.
Publicado: (2022)

HUST bearing: a practical dataset for ball bearing fault diagnosis
por: Thuan, Nguyen Duc, et al.
Publicado: (2023)

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

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

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

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

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

Fractional lower order linear chirplet transform and its application to bearing fault analysis
por: Long, Junbo, et al.
Publicado: (2022)

Ball Bearing Fault Diagnosis Using Recurrence Analysis
por: Kecik, Krzysztof, et al.
Publicado: (2022)

A Siamese Vision Transformer for Bearings Fault Diagnosis
por: He, Qiuchen, et al.
Publicado: (2022)

Naive Bayes Bearing Fault Diagnosis Based on Enhanced Independence of Data
por: Zhang, Nannan, et al.
Publicado: (2018)

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)

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

Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis
por: Du, Junfei, et al.
Publicado: (2022)

Fault diagnosis method of bearing utilizing GLCM and MBASA-based KELM
por: Fei, Sheng-wei, et al.
Publicado: (2022)

Network Construction for Bearing Fault Diagnosis Based on Double Attention Mechanism
por: Wu, QingE, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ccgqhr25tfsno5ta80aqbu9hfa