An Enhanced Version of Second-Order Synchrosqueezing Transform Combined with Time-Frequency Image Texture Features to Detect Faults in Bearings

An Enhanced Version of Second-Order Synchrosqueezing Transform Combined with Time-Frequency Image Texture Features to Detect Faults in Bearings

Signals with multiple components and fast-varying instantaneous frequencies reduce the readability of the time-frequency representations obtained by traditional synchrosqueezing transforms due to time-frequency blurring. We discussed a vertical synchrosqueezing transform, which is a second-order syn...

Full description

Saved in:

Bibliographic Details
Main Authors:	Xiaohan Cheng, Aiming Wang, Zongwu Li, Long Yuan, Yajing Xiao
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2021/5589825
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Order Spectrum Analysis for Bearing Fault Detection via Joint Application of Synchrosqueezing Transform and Multiscale Chirplet Path Pursuit
by: Jiesi Luo, et al.
Published: (2016-01-01)

Geometry-Based Synchrosqueezing S-Transform with Shifted Instantaneous Frequency Estimator Applied to Gearbox Fault Diagnosis
by: Xinping Zhu, et al.
Published: (2025-01-01)

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)

Fractional synchrosqueezing transform for enhanced multicomponent signal separation
by: Yangyang Li, et al.
Published: (2024-08-01)

Sparse Signal Representations of Bearing Fault Signals for Exhibiting Bearing Fault Features
by: Wei Peng, et al.
Published: (2016-01-01)

Multiscale Time-Frequency Sparse Transformer Based on Partly Interpretable Method for Bearing Fault Diagnosis
by: Shouquan Che, et al.
Published: (2023-01-01)

General Formulation of Second-Order Semi-Lagrangian Methods for Convection-Diffusion Problems
by: Xiaohan Long, et al.
Published: (2013-01-01)

Multilevel Feature Extraction Method for Adaptive Fault Diagnosis of Railway Axle Box Bearing
by: Zhigang Liu, et al.
Published: (2023-01-01)

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

Frequency and Texture Aware Multi-Domain Feature Fusion for Remote Sensing Scene Classification
by: Russo Ashraf, et al.
Published: (2025-01-01)

Fault Frequency Identification of Rolling Bearing Using Reinforced Ensemble Local Mean Decomposition
by: Bo Qin, et al.
Published: (2021-01-01)

Orthogonal Wavelet Transform-Based Gaussian Mixture Model for Bearing Fault Diagnosis
by: Weipeng Li, et al.
Published: (2023-01-01)

Detection and diagnosis of fault bearing using wavelet packet transform and neural network
by: Djaballah Said, et al.
Published: (2019-07-01)

Single Feature Extraction Method of Bearing Fault Signals Based on Slope Entropy
by: Erna Shi
Published: (2022-01-01)

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

Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time-Frequency Analysis
by: Ahmed K. Ali, et al.
Published: (2024-01-01)

Bearing Fault Diagnosis Using a Novel Classifier Ensemble Based on Lifting Wavelet Packet Transforms and Sample Entropy
by: Lei Zhang, et al.
Published: (2016-01-01)

An Orthogonal Wavelet Transform-Based K-Nearest Neighbor Algorithm to Detect Faults in Bearings
by: Weipeng Li, et al.
Published: (2022-01-01)

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

Feature Extraction Strategy with Improved Permutation Entropy and Its Application in Fault Diagnosis of Bearings
by: Fan Jiang, et al.
Published: (2018-01-01)

Feature Extraction of Weak-Bearing Faults Based on Laplace Wavelet and Orthogonal Matching Pursuit
by: Lei Hou, et al.
Published: (2022-01-01)

Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Bearing Fault Diagnosis
by: Jun Shuai, et al.
Published: (2017-01-01)

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

An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics
by: Lixiang Duan, et al.
Published: (2018-01-01)

Modified Kernel Marginal Fisher Analysis for Feature Extraction and Its Application to Bearing Fault Diagnosis
by: Li Jiang, 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)

Deep Domain Adaptation Model for Bearing Fault Diagnosis with Domain Alignment and Discriminative Feature Learning
by: Jing An, et al.
Published: (2020-01-01)

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

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)

An Enhancement Deep Feature Extraction Method for Bearing Fault Diagnosis Based on Kernel Function and Autoencoder
by: Fengtao Wang, et al.
Published: (2018-01-01)

A Novel Method for Identifying Resonance Frequency Band in Weak Bearing Fault Diagnosis of Electric Driving System
by: Cong Yue, et al.
Published: (2024-01-01)

Fault Identification of Rotor System Based on Classifying Time-Frequency Image Feature Tensor
by: Hui Li, et al.
Published: (2017-01-01)

Fault Diagnosis of Axle Box Bearing with Acoustic Signal Based on Chirplet Transform and Support Vector Machine
by: Jimin Zhang, et al.
Published: (2022-01-01)

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

Bearing Fault Diagnosis Based on Domain Adaptation Using Transferable Features under Different Working Conditions
by: Zhe Tong, et al.
Published: (2018-01-01)

Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions
by: Xiao Yu, et al.
Published: (2021-01-01)

An Effective Gear Fault Diagnosis Method Based on Singular Value Decomposition and Frequency Slice Wavelet Transform
by: Fu-Cheng Zhou, et al.
Published: (2016-01-01)

MCRCNet: A Bearing Fault Diagnosis Method for Unknown Faults Based on Transfer Learning
by: Guangyuan Xu, et al.
Published: (2025-01-01)

Bearing Fault Classification Based on Conditional Random Field
by: Guofeng Wang, et al.
Published: (2013-01-01)