365 related articles for article (PubMed ID: 33962795)
1. A new dynamic model and transfer learning based intelligent fault diagnosis framework for rolling element bearings race faults: Solving the small sample problem.
Dong Y; Li Y; Zheng H; Wang R; Xu M
ISA Trans; 2022 Feb; 121():327-348. PubMed ID: 33962795
[TBL] [Abstract][Full Text] [Related]
2. Intelligent fault diagnosis of rolling bearings under varying operating conditions based on domain-adversarial neural network and attention mechanism.
Wu H; Li J; Zhang Q; Tao J; Meng Z
ISA Trans; 2022 Nov; 130():477-489. PubMed ID: 35491253
[TBL] [Abstract][Full Text] [Related]
3. Fault diagnosis of rolling bearings using an Improved Multi-Scale Convolutional Neural Network with Feature Attention mechanism.
Xu Z; Li C; Yang Y
ISA Trans; 2021 Apr; 110():379-393. PubMed ID: 33158549
[TBL] [Abstract][Full Text] [Related]
4. Intelligent Fault Diagnosis of Rolling Element Bearings Based on Modified AlexNet.
Mohiuddin M; Islam MS; Islam S; Miah MS; Niu MB
Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765819
[TBL] [Abstract][Full Text] [Related]
5. A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset.
Tang H; Gao S; Wang L; Li X; Li B; Pang S
Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695966
[TBL] [Abstract][Full Text] [Related]
6. Intelligent Defect Diagnosis of Rolling Element Bearings under Variable Operating Conditions Using Convolutional Neural Network and Order Maps.
Tayyab SM; Chatterton S; Pennacchi P
Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271173
[TBL] [Abstract][Full Text] [Related]
7. Intelligent fault identification for industrial automation system via multi-scale convolutional generative adversarial network with partially labeled samples.
Pan T; Chen J; Xie J; Chang Y; Zhou Z
ISA Trans; 2020 Jun; 101():379-389. PubMed ID: 31955949
[TBL] [Abstract][Full Text] [Related]
8. Application of a new one-dimensional deep convolutional neural network for intelligent fault diagnosis of rolling bearings.
Xie S; Ren G; Zhu J
Sci Prog; 2020; 103(3):36850420951394. PubMed ID: 32880535
[TBL] [Abstract][Full Text] [Related]
9. Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder.
Shi H; Chen J; Si J; Zheng C
Sensors (Basel); 2020 Oct; 20(20):. PubMed ID: 33050210
[TBL] [Abstract][Full Text] [Related]
10. A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures.
Xiong S; Zhou H; He S; Zhang L; Xia Q; Xuan J; Shi T
Sensors (Basel); 2020 Sep; 20(17):. PubMed ID: 32887331
[TBL] [Abstract][Full Text] [Related]
11. Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network.
Li H; Huang J; Ji S
Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31052295
[TBL] [Abstract][Full Text] [Related]
12. Intelligent Compound Fault Diagnosis of Roller Bearings Based on Deep Graph Convolutional Network.
Chen C; Yuan Y; Zhao F
Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896583
[TBL] [Abstract][Full Text] [Related]
13. The Fault Diagnosis of Rolling Bearings Is Conducted by Employing a Dual-Branch Convolutional Capsule Neural Network.
Lu W; Liu J; Lin F
Sensors (Basel); 2024 May; 24(11):. PubMed ID: 38894172
[TBL] [Abstract][Full Text] [Related]
14. WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing.
Liu R; Wang X; Kumar A; Sun B; Zhou Y
Micromachines (Basel); 2023 Jul; 14(7):. PubMed ID: 37512779
[TBL] [Abstract][Full Text] [Related]
15. Intelligent fault diagnosis algorithm of rolling bearing based on optimization algorithm fusion convolutional neural network.
Wang Q; Sun Z; Zhu Y; Song C; Li D
Math Biosci Eng; 2023 Nov; 20(11):19963-19982. PubMed ID: 38052632
[TBL] [Abstract][Full Text] [Related]
16. A Deep Learning Method for Bearing Cross-Domain Fault Diagnostics Based on the Standard Envelope Spectrum.
Zhai L; Wang X; Si Z; Wang Z
Sensors (Basel); 2024 May; 24(11):. PubMed ID: 38894292
[TBL] [Abstract][Full Text] [Related]
17. A New Dual-Input Deep Anomaly Detection Method for Early Faults Warning of Rolling Bearings.
Kang Y; Chen G; Wang H; Pan W; Wei X
Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37766068
[TBL] [Abstract][Full Text] [Related]
18. Intelligent Diagnosis of Rolling Bearings Fault Based on Multisignal Fusion and MTF-ResNet.
He K; Xu Y; Wang Y; Wang J; Xie T
Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514577
[TBL] [Abstract][Full Text] [Related]
19. An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion.
Zhou X; Li A; Han G
Sensors (Basel); 2023 Aug; 23(17):. PubMed ID: 37688019
[TBL] [Abstract][Full Text] [Related]
20. Research on fault diagnosis of rolling bearing based on improved convolutional neural network with sparrow search algorithm.
Wan M; Xiao Y; Zhang J
Rev Sci Instrum; 2024 Apr; 95(4):. PubMed ID: 38591963
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]