These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
144 related articles for article (PubMed ID: 33266797)
1. Partial Discharge Fault Diagnosis Based on Multi-Scale Dispersion Entropy and a Hypersphere Multiclass Support Vector Machine. Shang H; Li F; Wu Y Entropy (Basel); 2019 Jan; 21(1):. PubMed ID: 33266797 [TBL] [Abstract][Full Text] [Related]
2. A Novel Feature Extraction Method for Power Transformer Vibration Signal Based on CEEMDAN and Multi-Scale Dispersion Entropy. Shang H; Xu J; Li Y; Lin W; Wang J Entropy (Basel); 2021 Oct; 23(10):. PubMed ID: 34682043 [TBL] [Abstract][Full Text] [Related]
3. Fault Diagnosis of a Wind Turbine Gearbox Based on Improved Variational Mode Algorithm and Information Entropy. Zhang F; Sun W; Wang H; Xu T Entropy (Basel); 2021 Jun; 23(7):. PubMed ID: 34201463 [TBL] [Abstract][Full Text] [Related]
4. Rolling Bearing Fault Diagnosis Based on WOA-VMD-MPE and MPSO-LSSVM. Jin Z; Chen G; Yang Z Entropy (Basel); 2022 Jul; 24(7):. PubMed ID: 35885150 [TBL] [Abstract][Full Text] [Related]
5. Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM. Ye M; Yan X; Jia M Entropy (Basel); 2021 Jun; 23(6):. PubMed ID: 34208777 [TBL] [Abstract][Full Text] [Related]
6. Intelligent Fault Identification for Rolling Bearings Fusing Average Refined Composite Multiscale Dispersion Entropy-Assisted Feature Extraction and SVM with Multi-Strategy Enhanced Swarm Optimization. Shi H; Fu W; Li B; Shao K; Yang D Entropy (Basel); 2021 Apr; 23(5):. PubMed ID: 33923036 [TBL] [Abstract][Full Text] [Related]
7. Intelligent Diagnosis of Rolling Element Bearing Based on Refined Composite Multiscale Reverse Dispersion Entropy and Random Forest. Liu A; Yang Z; Li H; Wang C; Liu X Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271193 [TBL] [Abstract][Full Text] [Related]
8. A Novel Method Based on Multi-Island Genetic Algorithm Improved Variational Mode Decomposition and Multi-Features for Fault Diagnosis of Rolling Bearing. Liang T; Lu H Entropy (Basel); 2020 Sep; 22(9):. PubMed ID: 33286764 [TBL] [Abstract][Full Text] [Related]
9. A New Compound Fault Feature Extraction Method Based on Multipoint Kurtosis and Variational Mode Decomposition. Cai W; Yang Z; Wang Z; Wang Y Entropy (Basel); 2018 Jul; 20(7):. PubMed ID: 33265610 [TBL] [Abstract][Full Text] [Related]
10. A New Ship-Radiated Noise Feature Extraction Technique Based on Variational Mode Decomposition and Fluctuation-Based Dispersion Entropy. Yang H; Zhao K; Li G Entropy (Basel); 2019 Mar; 21(3):. PubMed ID: 33266950 [TBL] [Abstract][Full Text] [Related]
11. Research on a Fault Diagnosis Method for Crankshafts Based on Improved Multi-Scale Permutation Entropy. Bie F; Shu Y; Lyu F; Liu X; Lu Y; Li Q; Zhang H; Ding X Sensors (Basel); 2024 Jan; 24(3):. PubMed ID: 38339442 [TBL] [Abstract][Full Text] [Related]
12. Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO. Fu W; Tan J; Xu Y; Wang K; Chen T Entropy (Basel); 2019 Apr; 21(4):. PubMed ID: 33267118 [TBL] [Abstract][Full Text] [Related]
13. Incipient fault feature extraction of rolling bearings based on the MVMD and Teager energy operator. Ma J; Wu J; Wang X ISA Trans; 2018 Sep; 80():297-311. PubMed ID: 29880275 [TBL] [Abstract][Full Text] [Related]
14. Coordinated Approach Fusing RCMDE and Sparrow Search Algorithm-Based SVM for Fault Diagnosis of Rolling Bearings. Lv J; Sun W; Wang H; Zhang F Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450738 [TBL] [Abstract][Full Text] [Related]
15. Research on Fault Diagnosis of Rolling Bearings Based on Variational Mode Decomposition Improved by the Niche Genetic Algorithm. Shi R; Wang B; Wang Z; Liu J; Feng X; Dong L Entropy (Basel); 2022 Jun; 24(6):. PubMed ID: 35741545 [TBL] [Abstract][Full Text] [Related]
16. Mechanical Fault Diagnosis of HVCBs Based on Multi-Feature Entropy Fusion and Hybrid Classifier. Wan S; Chen L; Dou L; Zhou J Entropy (Basel); 2018 Nov; 20(11):. PubMed ID: 33266571 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. 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]
20. Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy. Lv Z; Han S; Peng L; Yang L; Cao Y Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746283 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]