Cargando…

Application of Teager–Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings

Rolling bearings are key components that support the rotation of motor shafts, operating with a quite high failure rate among all the motor components. Early bearing fault diagnosis has great significance to the operation security of motors. The main contribution of this paper is to illustrate Gauss...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shi, Xiangfu, Zhang, Zhen, Xia, Zhiling, Li, Binhua, Gu, Xin, Shi, Tingna
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460047/ https://www.ncbi.nlm.nih.gov/pubmed/36081131 http://dx.doi.org/10.3390/s22176673

Ejemplares similares

Teager–Kaiser energy operator signal conditioning improves EMG onset detection
por: Solnik, Stanislaw, et al.
Publicado: (2010)

Teager Energy Entropy Ratio of Wavelet Packet Transform and Its Application in Bearing Fault Diagnosis
por: Wan, Shuting, et al.
Publicado: (2018)

Application of Teager–Kaiser’s Instantaneous Frequency for Detection of Delamination in FRP Composite Materials
por: Gałęzia, Adam, et al.
Publicado: (2021)

A Fast Sparse Decomposition Based on the Teager Energy Operator in Extraction of Weak Fault Signals
por: Yan, Baokang, et al.
Publicado: (2022)

Crack Identification in CFRP Laminated Beams Using Multi-Resolution Modal Teager–Kaiser Energy under Noisy Environments
por: Xu, Wei, et al.
Publicado: (2017)

The Detection of Motor Bearing Fault with Maximal Overlap Discrete Wavelet Packet Transform and Teager Energy Adaptive Spectral Kurtosis
por: Yang, D.-M.
Publicado: (2021)

An Efficient Teager Energy Operator-Based Automated QRS Complex Detection
por: Beyramienanlou, Hamed, 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 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)

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

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

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)

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

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

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

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)

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

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)

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)

Identification of Premature Ventricular Cycles of Electrocardiogram Using Discrete Cosine Transform-Teager Energy Operator Model
por: Sharmila, Vallem, et al.
Publicado: (2015)

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)

Acoustic-Based Rolling Bearing Fault Diagnosis Using a Co-Prime Circular Microphone Array
por: Li, Chi, et al.
Publicado: (2023)

Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder
por: Shi, Hongmei, et al.
Publicado: (2020)

A Sound and Vibration Fusion Method for Fault Diagnosis of Rolling Bearings under Speed-Varying Conditions
por: Wan, Haibo, 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)

Cannot write session to /tmp/vufind_sessions/sess_3o1v2v8t4m1te0m4qscp5f8dp0