282 related articles for article (PubMed ID: 28208820)
1. Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis.
Chen X; Zhang B; Feng F; Jiang P
Sensors (Basel); 2017 Feb; 17(2):. PubMed ID: 28208820
[TBL] [Abstract][Full Text] [Related]
2. Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element Bearings.
Duan J; Shi T; Zhou H; Xuan J; Zhang Y
Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29738474
[TBL] [Abstract][Full Text] [Related]
3. Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution.
Jia F; Lei Y; Shan H; Lin J
Sensors (Basel); 2015 Nov; 15(11):29363-77. PubMed ID: 26610501
[TBL] [Abstract][Full Text] [Related]
4. Multi-objective iterative optimization algorithm based optimal wavelet filter selection for multi-fault diagnosis of rolling element bearings.
Ding C; Zhao M; Lin J; Jiao J
ISA Trans; 2019 May; 88():199-215. PubMed ID: 30578001
[TBL] [Abstract][Full Text] [Related]
5. The Detection of Motor Bearing Fault with Maximal Overlap Discrete Wavelet Packet Transform and Teager Energy Adaptive Spectral Kurtosis.
Yang DM
Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34696108
[TBL] [Abstract][Full Text] [Related]
6. The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings.
Sun P; Liao Y; Lin J
Sensors (Basel); 2017 Mar; 17(3):. PubMed ID: 28282883
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Fault Diagnosis for Rolling Bearings Using Optimized Variational Mode Decomposition and Resonance Demodulation.
Zhang C; Wang Y; Deng W
Entropy (Basel); 2020 Jul; 22(7):. PubMed ID: 33286510
[TBL] [Abstract][Full Text] [Related]
9. Shannon Entropy of Binary Wavelet Packet Subbands and Its Application in Bearing Fault Extraction.
Wan S; Zhang X; Dou L
Entropy (Basel); 2018 Apr; 20(4):. PubMed ID: 33265351
[TBL] [Abstract][Full Text] [Related]
10. Particle swarm optimization algorithm to solve the deconvolution problem for rolling element bearing fault diagnosis.
Cheng Y; Wang Z; Zhang W; Huang G
ISA Trans; 2019 Jul; 90():244-267. PubMed ID: 30732991
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Bearing Fault Detection Based on Empirical Wavelet Transform and Correlated Kurtosis by Acoustic Emission.
Gao Z; Lin J; Wang X; Xu X
Materials (Basel); 2017 May; 10(6):. PubMed ID: 28772929
[TBL] [Abstract][Full Text] [Related]
13. A Novel Method of Frequency Band Selection for Squared Envelope Analysis for Fault Diagnosing of Rolling Element Bearings in a Locomotive Powertrain.
Xu L; Chatterton S; Pennacchi P
Sensors (Basel); 2018 Dec; 18(12):. PubMed ID: 30544866
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Bearing Fault Diagnosis Based on Energy Spectrum Statistics and Modified Mayfly Optimization Algorithm.
Liu Y; Chai Y; Liu B; Wang Y
Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33806961
[TBL] [Abstract][Full Text] [Related]
16. A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis.
Zhen D; Guo J; Xu Y; Zhang H; Gu F
Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31527448
[TBL] [Abstract][Full Text] [Related]
17. An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation.
Li J; Yu Q; Wang X; Zhang Y
ISA Trans; 2020 Jul; 102():335-346. PubMed ID: 32122637
[TBL] [Abstract][Full Text] [Related]
18. Rolling element bearing fault identification using a novel three-step adaptive and automated filtration scheme based on Gini index.
Albezzawy MN; Nassef MG; Sawalhi N
ISA Trans; 2020 Jun; 101():453-460. PubMed ID: 31955946
[TBL] [Abstract][Full Text] [Related]
19. Multi-objective Informative Frequency Band Selection Based on Negentropy-induced Grey Wolf Optimizer for Fault Diagnosis of Rolling Element Bearings.
Gu X; Yang S; Liu Y; Hao R; Liu Z
Sensors (Basel); 2020 Mar; 20(7):. PubMed ID: 32225091
[TBL] [Abstract][Full Text] [Related]
20. Early-Stage Fault Diagnosis of Motor Bearing Based on Kurtosis Weighting and Fusion of Current-Vibration Signals.
Zhang B; Li H; Kong W; Fu M; Ma J
Sensors (Basel); 2024 May; 24(11):. PubMed ID: 38894163
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
