Rolling bearing faults identification based on multiscale singular value
Explore this paper's citation graph
- Type
- article
- Published
- 2023-08-01
- Cited by
- 42
- References
- 38
- OpenAlex
- https://openalex.org/W4379624388
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:259796207
Keywords
Hankel matrix, Singular value, Singular value decomposition, Singular spectrum analysis, Algorithm
References
- SVD and Hankel matrix based de-noising approach for ball bearing fault detection and its assessment using artificial faults
- Physiological time-series analysis using approximate entropy and sample entropy.
- A roller bearing fault diagnosis method based on the improved ITD and RRVPMCD
- Variational Mode Decomposition
- Study on Hankel matrix-based SVD and its application in rolling element bearing fault diagnosis
- Rolling element bearing fault diagnosis under slow speed operation using wavelet de-noising
- A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery
- Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis
- Sliding window denoising K-Singular Value Decomposition and its application on rolling bearing impact fault diagnosis
- Weak fault feature extraction of rolling bearings based on globally optimized sparse coding and approximate SVD
- Research on bearing fault feature extraction based on singular value decomposition and optimized frequency band entropy
- Incipient fault detection of rolling bearing using maximum autocorrelation impulse harmonic to noise deconvolution and parameter optimized fast EEMD.
- Composite multi-scale weighted permutation entropy and extreme learning machine based intelligent fault diagnosis for rolling bearing
- A new wind turbine health condition monitoring method based on VMD-MPE and feature-based transfer learning
- Fault diagnosis for rolling bearing based on VMD-FRFT
- Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine
- An integrated method based on hybrid grey wolf optimizer improved variational mode decomposition and deep neural network for fault diagnosis of rolling bearing
- Fault feature extraction of rolling bearings based on VMD-SVD joint de-noising and FSWT
- An optimized VMD method and its applications in bearing fault diagnosis
- Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum
Cited by
- Empowering intelligent manufacturing with edge computing: A portable diagnosis and distance localization approach for bearing faults
- Conditional variational transformer for bearing remaining useful life prediction
- Adaptive spatial-model-based predictive control for complex distributed parameter systems
- A Parameter-Adaptive Spectral Graph Wavelet Transform Method for Wind Turbines Vibration Signal Denoising
- Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis
- Faulty rolling bearing digital twin model and its application in fault diagnosis with imbalanced samples
- Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
- A new method of noise reduction grounded on the Hankel matrix and its application in rubbing fault diagnosis
- Toward accurate extraction of bearing fault modulation characteristics with novel time–frequency modulation bispectrum and modulation Gini index analysis
- FCHG: Fuzzy Cognitive Hypergraph for interpretable fault detection
- A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
- Missing-Data Filling Method Based on Improved Informer Model for Mechanical-Bearing Fault Diagnosis
- Integrating automatic order determination with response prediction error minimization for nonlinear subspace identification in structural dynamics
- Rotating machinery early fault detection integrating variational mode decomposition and multiscale singular value decomposition
- Phase-based video vibration measurement and fault feature extraction method for compound faults of rolling bearings
- Fault identification of rolling bearing based on improved salp swarm algorithm
- Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearings
- Oscillation search robust dynamic mode decomposition method and its application in rolling bearing fault diagnosis
- A bearing fault extraction method combining time-frequency mode decomposition based on local maxima with amplitude z-scores
- Application of FCEEMD-TSMFDE and adaptive CatBoost in fault diagnosis of complex variable condition bearings
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