140 related articles for article (PubMed ID: 38420432)
21. Fault Diagnosis for Rolling Bearing of Combine Harvester Based on Composite-Scale-Variable Dispersion Entropy and Self-Optimization Variational Mode Decomposition Algorithm.
Jiang W; Shan Y; Xue X; Ma J; Chen Z; Zhang N
Entropy (Basel); 2023 Jul; 25(8):. PubMed ID: 37628141
[TBL] [Abstract][Full Text] [Related]
22. A Novel Fault Diagnosis Method for Rolling Bearing Based on Hierarchical Refined Composite Multiscale Fluctuation-Based Dispersion Entropy and PSO-ELM.
Chen Y; Yuan Z; Chen J; Sun K
Entropy (Basel); 2022 Oct; 24(11):. PubMed ID: 36359611
[TBL] [Abstract][Full Text] [Related]
23. A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier.
Zhou S; Qian S; Chang W; Xiao Y; Cheng Y
Sensors (Basel); 2018 Jun; 18(6):. PubMed ID: 29899216
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. A new fault feature extraction method of rolling bearings based on the improved self-selection ICEEMDAN-permutation entropy.
Xiao M; Wang Z; Zhao Y; Geng G; Dustdar S; Donta PK; Ji G
ISA Trans; 2023 Dec; 143():536-547. PubMed ID: 37770368
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. A Dual-Optimization Fault Diagnosis Method for Rolling Bearings Based on Hierarchical Slope Entropy and SVM Synergized with Shark Optimization Algorithm.
Li Y; Tang B; Huang B; Xue X
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420796
[TBL] [Abstract][Full Text] [Related]
28. A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine.
Yan X; Liu Y; Jia M
Sensors (Basel); 2020 Aug; 20(15):. PubMed ID: 32759788
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. 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]
31. Quantitative and Localization Fault Diagnosis Method of Rolling Bearing Based on Quantitative Mapping Model.
Wang J; Cui L; Xu Y
Entropy (Basel); 2018 Jul; 20(7):. PubMed ID: 33265600
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. A Novel Characteristic Frequency Bands Extraction Method for Automatic Bearing Fault Diagnosis Based on Hilbert Huang Transform.
Yu X; Ding E; Chen C; Liu X; Li L
Sensors (Basel); 2015 Nov; 15(11):27869-93. PubMed ID: 26540059
[TBL] [Abstract][Full Text] [Related]
34. Visibility Graph Feature Model of Vibration Signals: A Novel Bearing Fault Diagnosis Approach.
Zhang Z; Qin Y; Jia L; Chen X
Materials (Basel); 2018 Nov; 11(11):. PubMed ID: 30428560
[TBL] [Abstract][Full Text] [Related]
35. A new intelligent bearing fault diagnosis model based on triplet network and SVM.
Yang K; Zhao L; Wang C
Sci Rep; 2022 Mar; 12(1):5234. PubMed ID: 35347163
[TBL] [Abstract][Full Text] [Related]
36. Fault Diagnosis of Rolling Bearing Based on HPSO Algorithm Optimized CNN-LSTM Neural Network.
Tian H; Fan H; Feng M; Cao R; Li D
Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514802
[TBL] [Abstract][Full Text] [Related]
37. Refined composite moving average fluctuation dispersion entropy and its application on rolling bearing fault diagnosis.
Chen Y; Chen J; Qiang Y; Yuan Z; Yang J
Rev Sci Instrum; 2023 Oct; 94(10):. PubMed ID: 37819206
[TBL] [Abstract][Full Text] [Related]
38. A Deep Learning Method for Rolling Bearing Fault Diagnosis Based on Attention Mechanism and Graham Angle Field.
Lu J; Wang K; Chen C; Ji W
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420653
[TBL] [Abstract][Full Text] [Related]
39. Rolling Element Bearing Fault Diagnosis by Combining Adaptive Local Iterative Filtering, Modified Fuzzy Entropy and Support Vector Machine.
Zhu K; Chen L; Hu X
Entropy (Basel); 2018 Dec; 20(12):. PubMed ID: 33266650
[TBL] [Abstract][Full Text] [Related]
40. A Comprehensive Diagnosis Method of Rolling Bearing Fault Based on CEEMDAN-DFA-Improved Wavelet Threshold Function and QPSO-MPE-SVM.
Wang Y; Xu C; Wang Y; Cheng X
Entropy (Basel); 2021 Aug; 23(9):. PubMed ID: 34573767
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
