185 related articles for article (PubMed ID: 33423766)
1. Period-oriented multi-hierarchy deconvolution and its application for bearing fault diagnosis.
Miao Y; Zhang B; Zhao M; Lin J
ISA Trans; 2021 Aug; 114():455-469. PubMed ID: 33423766
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Blind Deconvolution Based on Correlation Spectral Negentropy for Bearing Fault.
Tian T; Tang GJ; Tian YC; Wang XL
Entropy (Basel); 2023 Mar; 25(3):. PubMed ID: 36981430
[TBL] [Abstract][Full Text] [Related]
4. Compound Fault Feature Extraction of Rolling Bearing Acoustic Signals Based on AVMD-IMVO-MCKD.
Wu S; Zhou J; Liu T
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146118
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. An improved Autogram and MOMEDA method to detect weak compound fault in rolling bearings.
Xie X; Yang Z; Zhang L; Zeng G; Wang X; Zhang P; Chen G
Math Biosci Eng; 2022 Jul; 19(10):10424-10444. PubMed ID: 36032001
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Incipient fault detection of rolling bearing using maximum autocorrelation impulse harmonic to noise deconvolution and parameter optimized fast EEMD.
Zheng K; Luo J; Zhang Y; Li T; Wen J; Xiao H
ISA Trans; 2019 Jun; 89():256-271. PubMed ID: 30587330
[TBL] [Abstract][Full Text] [Related]
10. Application of Mutual Information-Sample Entropy Based MED-ICEEMDAN De-Noising Scheme for Weak Fault Diagnosis of Hoist Bearing.
Yang F; Kou Z; Wu J; Li T
Entropy (Basel); 2018 Sep; 20(9):. PubMed ID: 33265756
[TBL] [Abstract][Full Text] [Related]
11. An Adaptive Deconvolution Method with Improve Enhanced Envelope Spectrum and Its Application for Bearing Fault Feature Extraction.
He F; Zheng C; Pang C; Zhao C; Yang M; Zhu Y; Luo Z; Luo H; Li L; Jiang H
Sensors (Basel); 2024 Feb; 24(3):. PubMed ID: 38339668
[TBL] [Abstract][Full Text] [Related]
12. Research on Extraction of Compound Fault Characteristics for Rolling Bearings in Wind Turbines.
Xiang L; Su H; Li Y
Entropy (Basel); 2020 Jun; 22(6):. PubMed ID: 33286455
[TBL] [Abstract][Full Text] [Related]
13. A novel time-frequency slice extraction method for target recognition and local enhancement of non-stationary signal features.
Ma C; Liang C; Jiang Z; Zhang K; Xu Y
ISA Trans; 2024 Mar; 146():319-335. PubMed ID: 38220542
[TBL] [Abstract][Full Text] [Related]
14. Fault detection for planetary gearbox based on an enhanced average filter and modulation signal bispectrum analysis.
Guo J; Zhen D; Li H; Shi Z; Gu F; Ball AD
ISA Trans; 2020 Jun; 101():408-420. PubMed ID: 32061355
[TBL] [Abstract][Full Text] [Related]
15. Identification of Multiple Faults in Gearbox Based on Multipoint Optional Minimum Entropy Deconvolution Adjusted and Permutation Entropy.
Sun H; Wu C; Liang X; Zeng Q
Entropy (Basel); 2018 Nov; 20(11):. PubMed ID: 33266574
[TBL] [Abstract][Full Text] [Related]
16. Compound fault extraction method via self-adaptively determining the number of decomposition layers of the variational mode decomposition.
Zhang Z; Zhang X; Zhang P; Wu F; Li X
Rev Sci Instrum; 2018 Aug; 89(8):085110. PubMed ID: 30184705
[TBL] [Abstract][Full Text] [Related]
17. Enhanced periodic mode decomposition and its application to composite fault diagnosis of rolling bearings.
Cheng J; Yang Y; Shao H; Pan H; Zheng J; Cheng J
ISA Trans; 2022 Jun; 125():474-491. PubMed ID: 34284879
[TBL] [Abstract][Full Text] [Related]
18. Fuzzy Entropy-Assisted Deconvolution Method and Its Application for Bearing Fault Diagnosis.
Pei D; Yue J; Jiao J
Entropy (Basel); 2024 Mar; 26(4):. PubMed ID: 38667858
[TBL] [Abstract][Full Text] [Related]
19. Gearbox Composite Fault Diagnosis Method Based on Minimum Entropy Deconvolution and Improved Dual-Tree Complex Wavelet Transform.
Zhang Z; Zhang X; Zhang P; Wu F; Li X
Entropy (Basel); 2018 Dec; 21(1):. PubMed ID: 33266734
[TBL] [Abstract][Full Text] [Related]
20. Multi-Fault Diagnosis of Gearbox Based on Improved Multipoint Optimal Minimum Entropy Deconvolution.
Yang F; Shen X; Wang Z
Entropy (Basel); 2018 Aug; 20(8):. PubMed ID: 33265700
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]