317 related articles for article (PubMed ID: 31431288)
1. A weak fault feature extraction of rolling element bearing based on attenuated cosine dictionaries and sparse feature sign search.
Zhou H; Li H; Liu T; Chen Q
ISA Trans; 2020 Feb; 97():143-154. PubMed ID: 31431288
[TBL] [Abstract][Full Text] [Related]
2. Adaptive online dictionary learning for bearing fault diagnosis.
Lu Y; Xie R; Liang SY
Int J Adv Manuf Technol; 2019 Mar; 101(1-4):195-202. PubMed ID: 31182896
[TBL] [Abstract][Full Text] [Related]
3. GMPSO-VMD Algorithm and Its Application to Rolling Bearing Fault Feature Extraction.
Ding J; Huang L; Xiao D; Li X
Sensors (Basel); 2020 Mar; 20(7):. PubMed ID: 32244305
[TBL] [Abstract][Full Text] [Related]
4. An Early Fault Diagnosis Method of Rolling Bearings on the Basis of Adaptive Frequency Window and Sparse Coding Shrinkage.
Wan S; Peng B
Entropy (Basel); 2019 Jun; 21(6):. PubMed ID: 33267298
[TBL] [Abstract][Full Text] [Related]
5. Feature Extraction Using Sparse Kernel Non-Negative Matrix Factorization for Rolling Element Bearing Diagnosis.
Liang L; Ding X; Liu F; Chen Y; Wen H
Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34070578
[TBL] [Abstract][Full Text] [Related]
6. An adaptive group sparse feature decomposition method in frequency domain for rolling bearing fault diagnosis.
Zheng K; Yao D; Shi Y; Wei B; Yang D; Zhang B
ISA Trans; 2023 Jul; 138():562-581. PubMed ID: 36863953
[TBL] [Abstract][Full Text] [Related]
7. Weak Fault Feature Extraction of Rolling Bearings Based on an Improved Kurtogram.
Chen X; Feng F; Zhang B
Sensors (Basel); 2016 Sep; 16(9):. PubMed ID: 27649171
[TBL] [Abstract][Full Text] [Related]
8. Sparse representation of parametric dictionary based on fault impact matching for wheelset bearing fault diagnosis.
Deng F; Qiang Y; Yang S; Hao R; Liu Y
ISA Trans; 2021 Apr; 110():368-378. PubMed ID: 33223191
[TBL] [Abstract][Full Text] [Related]
9. Application of Parameter Optimized Variational Mode Decomposition Method in Fault Feature Extraction of Rolling Bearing.
Liang T; Lu H; Sun H
Entropy (Basel); 2021 Apr; 23(5):. PubMed ID: 33923199
[TBL] [Abstract][Full Text] [Related]
10. Fault Feature Extraction Method for Rolling Bearings Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Variational Mode Decomposition.
Wang L; Li H; Xi T; Wei S
Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067814
[TBL] [Abstract][Full Text] [Related]
11. A Hybrid SVD-Based Denoising and Self-Adaptive TMSST for High-Speed Train Axle Bearing Fault Detection.
Deng F; Liu C; Liu Y; Hao R
Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577232
[TBL] [Abstract][Full Text] [Related]
12. Application of EEMD and improved frequency band entropy in bearing fault feature extraction.
Li H; Liu T; Wu X; Chen Q
ISA Trans; 2019 May; 88():170-185. PubMed ID: 30558907
[TBL] [Abstract][Full Text] [Related]
13. A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction.
Ma J; Han S; Li C; Zhan L; Zhang GZ
Entropy (Basel); 2021 Apr; 23(4):. PubMed ID: 33920417
[TBL] [Abstract][Full Text] [Related]
14. An information-based K-singular-value decomposition method for rolling element bearing diagnosis.
Liang K; Zhao M; Lin J; Jiao J
ISA Trans; 2020 Jan; 96():444-456. PubMed ID: 31208882
[TBL] [Abstract][Full Text] [Related]
15. Research on extracting weak repetitive transients of fault rolling element bearing.
Kang W; Zhu Y; Yan K; Ren Z; Gao D; Hong J
ISA Trans; 2022 Apr; 123():381-397. PubMed ID: 34024624
[TBL] [Abstract][Full Text] [Related]
16. Bearing Fault Feature Extraction and Fault Diagnosis Method Based on Feature Fusion.
Zhu H; He Z; Wei J; Wang J; Zhou H
Sensors (Basel); 2021 Apr; 21(7):. PubMed ID: 33916563
[TBL] [Abstract][Full Text] [Related]
17. Detection of weak fault using sparse empirical wavelet transform for cyclic fault.
Lu Y; Xie R; Liang SY
Int J Adv Manuf Technol; 2018 Nov; 99(5-8):1195-1201. PubMed ID: 31182897
[TBL] [Abstract][Full Text] [Related]
18. Adaptive VMD-K-SVD-Based Rolling Bearing Fault Signal Enhancement Study.
Mao M; Zeng K; Tan Z; Zeng Z; Hu Z; Chen X; Qin C
Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896721
[TBL] [Abstract][Full Text] [Related]
19. Simultaneously Low Rank and Group Sparse Decomposition for Rolling Bearing Fault Diagnosis.
Zheng K; Bai Y; Xiong J; Tan F; Yang D; Zhang Y
Sensors (Basel); 2020 Sep; 20(19):. PubMed ID: 32992657
[TBL] [Abstract][Full Text] [Related]
20. Weak feature enhancement in machinery fault diagnosis using empirical wavelet transform and an improved adaptive bistable stochastic resonance.
Zhang X; Wang J; Liu Z; Wang J
ISA Trans; 2019 Jan; 84():283-295. PubMed ID: 30309725
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
