Fault Frequency Identification of Rolling Bearing Using Reinforced Ensemble Local Mean Decomposition

Fault Frequency Identification of Rolling Bearing Using Reinforced Ensemble Local Mean Decomposition

The vibration signal of rolling bearing exhibits the characteristics of energy attenuation and complex time-varying modulation caused by the transmission with multiple interfaces and complex paths. In view of this, strong ambient noise easily masks faulty signs of rolling bearings, resulting in inac...

Full description

Saved in:

Bibliographic Details
Main Authors:	Bo Qin, Quanyi Luo, Juanjuan Zhang, Zixian Li, Yan Qin
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Journal of Control Science and Engineering
Online Access:	http://dx.doi.org/10.1155/2021/2744193
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Application of an Improved Ensemble Local Mean Decomposition Method for Gearbox Composite Fault Diagnosis
by: Zhijian Wang, et al.
Published: (2019-01-01)

Fault Identification of Rolling Bearing Using Variational Mode Decomposition Multiscale Permutation Entropy and Adaptive GG Clustering
by: Tianjing He, et al.
Published: (2021-01-01)

A new -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault
by: Hongchao Wang, et al.
Published: (2020-05-01)

Peak-Based Mode Decomposition for Weak Fault Feature Enhancement and Detection of Rolling Element Bearing
by: Zhi Xu, et al.
Published: (2020-01-01)

The Fault Diagnosis of Rolling Bearing Based on Improved Deep Forest
by: Xiwen Qin, et al.
Published: (2021-01-01)

Multitask Convolutional Neural Network for Rolling Element Bearing Fault Identification
by: Mingxing Jia, et al.
Published: (2020-01-01)

Rolling Bearings Fault Diagnosis under Variable Speed Conditions Based on Multitime-Frequency Ridge Extraction
by: Qing Xiong, et al.
Published: (2024-01-01)

Fault Diagnosis for Rolling Bearing under Variable Conditions Based on Image Recognition
by: Bo Zhou, et al.
Published: (2016-01-01)

A Fault Feature Extraction Method for Rolling Bearing Based on Intrinsic Time-Scale Decomposition and AR Minimum Entropy Deconvolution
by: Jiakai Ding, et al.
Published: (2021-01-01)

Rolling Bearing Fault Diagnosis Method Based on MCMF and SAIMFE
by: Dejun Meng, et al.
Published: (2022-01-01)

Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis
by: Jinde Zheng, et al.
Published: (2014-01-01)

Rolling Bearing Fault Diagnosis Method Based on Multisynchrosqueezing S Transform and Faster Dictionary Learning
by: Guodong Sun, et al.
Published: (2021-01-01)

An Improved Time-Frequency Analysis Method for Instantaneous Frequency Estimation of Rolling Bearing
by: Zengqiang Ma, et al.
Published: (2018-01-01)

Research on Rolling Bearing Fault Feature Extraction Based on Singular Value Decomposition considering the Singular Component Accumulative Effect and Teager Energy Operator
by: Longlong Li, et al.
Published: (2019-01-01)

A study on rolling bearing fault diagnosis using RIME-VMD
by: Zhenrong Ma, et al.
Published: (2025-02-01)

Application of RSSD-OCYCBD Strategy in Enhanced Fault Detection of Rolling Bearing
by: Xiaolong Wang, et al.
Published: (2020-01-01)

Rolling Bearing Fault Diagnosis Based on ELCD Permutation Entropy and RVM
by: Jiang Xingmeng, et al.
Published: (2016-01-01)

An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis
by: Zhicheng Qiao, et al.
Published: (2020-01-01)

Application of Variational Mode Decomposition and Multiscale Permutation Entropy in Rolling Bearing Failure Analysis
by: Haorui Liu, et al.
Published: (2022-01-01)

Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features
by: Weigang Wen, et al.
Published: (2015-01-01)

Improved VMD‐KFCM algorithm for the fault diagnosis of rolling bearing vibration signals
by: Yong Chang, et al.
Published: (2021-06-01)

Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals
by: Hongmei Liu, et al.
Published: (2016-01-01)

Fault Diagnosis of Rolling Element Bearing Using an Adaptive Multiscale Enhanced Combination Gradient Morphological Filter
by: Yuanqing Luo, et al.
Published: (2019-01-01)

Degradation State Recognition of Rolling Bearing Based on K-Means and CNN Algorithm
by: Qicai Zhou, et al.
Published: (2019-01-01)

Fault diagnosis of mining rolling bearings based on Superlet Transform and OD-ConvNeXt-ELA
by: WU Xinzhong, et al.
Published: (2024-12-01)

Intelligent fault diagnosis method for rolling bearings based on flexible residual neural network
by: Chuang CHEN, et al.
Published: (2025-03-01)

Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis
by: Ruqiang Yan, et al.
Published: (2015-01-01)

Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis
by: Hongdi Zhou, et al.
Published: (2022-01-01)

Rolling Element Bearing Fault Recognition Approach Based on Fuzzy Clustering Bispectrum Estimation
by: W.Y. Liu, et al.
Published: (2013-01-01)

The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value
by: Te Han, et al.
Published: (2016-01-01)

Rolling Bearing Fault Diagnosis Based on SVM Optimized with Adaptive Quantum DE Algorithm
by: Yuanyuan Li, et al.
Published: (2022-01-01)

Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis
by: Long Zhang, et al.
Published: (2020-01-01)

Fault Diagnosis for Gearbox Based on Improved Empirical Mode Decomposition
by: Ling Zhao, et al.
Published: (2015-01-01)

Rolling Bearing Degradation State Identification Based on LPP Optimized by GA
by: He Yu, et al.
Published: (2016-01-01)

Fault Identification of UHVDC Transmission Based on DF-AD and Ensemble Learning
by: Qingsheng Zhao, et al.
Published: (2024-01-01)

Rolling Bearing Fault Diagnosis Based on a Synchrosqueezing Wavelet Transform and a Transfer Residual Convolutional Neural Network
by: Zihao Zhai, et al.
Published: (2025-01-01)

A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing
by: Hu Aijun, et al.
Published: (2017-01-01)

Rolling Bearing Fault Diagnostic Method Based on VMD-AR Model and Random Forest Classifier
by: Te Han, et al.
Published: (2016-01-01)

The Hybrid KICA-GDA-LSSVM Method Research on Rolling Bearing Fault Feature Extraction and Classification
by: Jiyong Li, et al.
Published: (2015-01-01)

Research on Fault Feature Extraction Method of Rolling Bearing Based on NMD and Wavelet Threshold Denoising
by: Maohua Xiao, et al.
Published: (2018-01-01)