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.
161 related articles for article (PubMed ID: 36772347)
1. Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review. Qiu S; Cui X; Ping Z; Shan N; Li Z; Bao X; Xu X Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772347 [TBL] [Abstract][Full Text] [Related]
2. Generative Adversarial Learning Enhanced Fault Diagnosis for Planetary Gearbox under Varying Working Conditions. Wen W; Bai Y; Cheng W Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32197349 [TBL] [Abstract][Full Text] [Related]
3. Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects. Guo Y; Zhang J; Sun B; Wang Y Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631799 [TBL] [Abstract][Full Text] [Related]
4. Transformer fault diagnosis based on adversarial generative networks and deep stacked autoencoder. Zhang L; Xu Z; Lu C; Qiao T; Su H; Luo Y Heliyon; 2024 May; 10(9):e30670. PubMed ID: 38765093 [TBL] [Abstract][Full Text] [Related]
5. Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives. Pan T; Chen J; Zhang T; Liu S; He S; Lv H ISA Trans; 2022 Sep; 128(Pt B):1-10. PubMed ID: 34953580 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Fault Diagnosis Method for Imbalanced Data Based on Multi-Signal Fusion and Improved Deep Convolution Generative Adversarial Network. Deng C; Deng Z; Lu S; He M; Miao J; Peng Y Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904745 [TBL] [Abstract][Full Text] [Related]
8. TRA-ACGAN: A motor bearing fault diagnosis model based on an auxiliary classifier generative adversarial network and transformer network. Fu Z; Liu Z; Ping S; Li W; Liu J ISA Trans; 2024 Jun; 149():381-393. PubMed ID: 38604873 [TBL] [Abstract][Full Text] [Related]
9. Machine learning for fault analysis in rotating machinery: A comprehensive review. Das O; Bagci Das D; Birant D Heliyon; 2023 Jun; 9(6):e17584. PubMed ID: 37408928 [TBL] [Abstract][Full Text] [Related]
10. Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis. Jiao J; Lin J; Zhao M; Liang K; Ding C Neural Netw; 2022 Jan; 145():331-341. PubMed ID: 34801942 [TBL] [Abstract][Full Text] [Related]
11. Bearing Fault Diagnosis Method Based on Convolutional Neural Network and Knowledge Graph. Li Z; Li Y; Sun Q; Qi B Entropy (Basel); 2022 Nov; 24(11):. PubMed ID: 36359679 [TBL] [Abstract][Full Text] [Related]
12. An Intelligent Machinery Fault Diagnosis Method Based on GAN and Transfer Learning under Variable Working Conditions. He W; Chen J; Zhou Y; Liu X; Chen B; Guo B Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501876 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. A Study on the Fault Location of Secondary Equipment in Smart Substation Based on the Graph Attention Network. Xiang XM; Dong XC; He JQ; Zheng YK; Li XY Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067757 [TBL] [Abstract][Full Text] [Related]
15. Convolutional Neural Network-Based Transformer Fault Diagnosis Using Vibration Signals. Li C; Chen J; Yang C; Yang J; Liu Z; Davari P Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430695 [TBL] [Abstract][Full Text] [Related]
16. Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions. Zhang T; Chen J; Li F; Zhang K; Lv H; He S; Xu E ISA Trans; 2022 Jan; 119():152-171. PubMed ID: 33736889 [TBL] [Abstract][Full Text] [Related]
17. A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion. Gong W; Chen H; Zhang Z; Zhang M; Wang R; Guan C; Wang Q Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30970672 [TBL] [Abstract][Full Text] [Related]
18. Machine fault detection methods based on machine learning algorithms: A review. Ciaburro G Math Biosci Eng; 2022 Aug; 19(11):11453-11490. PubMed ID: 36124599 [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. 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] [Next] [New Search]