178 related articles for article (PubMed ID: 37770368)
21. 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]
22. Bearing Fault Diagnosis Using Piecewise Aggregate Approximation and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise.
Hu L; Wang L; Chen Y; Hu N; Jiang Y
Sensors (Basel); 2022 Sep; 22(17):. PubMed ID: 36081069
[TBL] [Abstract][Full Text] [Related]
23. An Integrated Approach Fusing CEEMD Energy Entropy and Sparrow Search Algorithm-Based PNN for Fault Diagnosis of Rolling Bearings.
Xiao Y; Zeng Z; Deng Z; Lin C; Xie Z
Comput Intell Neurosci; 2022; 2022():4835157. PubMed ID: 35909838
[TBL] [Abstract][Full Text] [Related]
24. Optimized Adaptive Local Iterative Filtering Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis.
Lv Y; Zhang Y; Yi C
Entropy (Basel); 2018 Dec; 20(12):. PubMed ID: 33266644
[TBL] [Abstract][Full Text] [Related]
25. Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals.
Wang Z; Yao L; Chen G; Ding J
ISA Trans; 2021 Aug; 114():470-484. PubMed ID: 33454055
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing.
Yuan Q; Lv M; Zhou R; Liu H; Liang C; Cheng L
Entropy (Basel); 2023 Jul; 25(7):. PubMed ID: 37509995
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. MVMD-MOMEDA-TEO Model and Its Application in Feature Extraction for Rolling Bearings.
Li Z; Ma J; Wang X; Wu J
Entropy (Basel); 2019 Mar; 21(4):. PubMed ID: 33267045
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. A New Feature Extraction Method for Ship-Radiated Noise Based on Improved CEEMDAN, Normalized Mutual Information and Multiscale Improved Permutation Entropy.
Chen Z; Li Y; Cao R; Ali W; Yu J; Liang H
Entropy (Basel); 2019 Jun; 21(6):. PubMed ID: 33267338
[TBL] [Abstract][Full Text] [Related]
32. An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis.
Cheng Y; Wang Z; Chen B; Zhang W; Huang G
ISA Trans; 2019 Aug; 91():218-234. PubMed ID: 30738582
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. A Hybrid Generalized Hidden Markov Model-Based Condition Monitoring Approach for Rolling Bearings.
Liu J; Hu Y; Wu B; Wang Y; Xie F
Sensors (Basel); 2017 May; 17(5):. PubMed ID: 28524088
[TBL] [Abstract][Full Text] [Related]
35. Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features.
Zhan L; Ma F; Zhang J; Li C; Li Z; Wang T
Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31546904
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Research on Denoising Method for Hydroelectric Unit Vibration Signal Based on ICEEMDAN-PE-SVD.
Zhang F; Guo J; Yuan F; Shi Y; Li Z
Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514668
[TBL] [Abstract][Full Text] [Related]
38. Composite Multivariate Multi-Scale Permutation Entropy and Laplacian Score Based Fault Diagnosis of Rolling Bearing.
Ying W; Tong J; Dong Z; Pan H; Liu Q; Zheng J
Entropy (Basel); 2022 Jan; 24(2):. PubMed ID: 35205457
[TBL] [Abstract][Full Text] [Related]
39. Multiscale Distribution Entropy and t-Distributed Stochastic Neighbor Embedding-Based Fault Diagnosis of Rolling Bearings.
Tu D; Zheng J; Jiang Z; Pan H
Entropy (Basel); 2018 May; 20(5):. PubMed ID: 33265449
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]