146 related articles for article (PubMed ID: 35009595)
1. Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning.
Hasan MJ; Islam MMM; Kim JM
Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009595
[TBL] [Abstract][Full Text] [Related]
2. A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions.
Hasan MJ; Sohaib M; Kim JM
Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33339253
[TBL] [Abstract][Full Text] [Related]
3. Fault Diagnosis for High-Speed Train Axle-Box Bearing Using Simplified Shallow Information Fusion Convolutional Neural Network.
Luo H; Bo L; Peng C; Hou D
Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32878207
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions.
Toma RN; Piltan F; Im K; Shon D; Yoon TH; Yoo DS; Kim JM
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808372
[TBL] [Abstract][Full Text] [Related]
7. Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning.
Xu G; Liu M; Jiang Z; Söffker D; Shen W
Sensors (Basel); 2019 Mar; 19(5):. PubMed ID: 30832449
[TBL] [Abstract][Full Text] [Related]
8. Multi-Stream Convolutional Neural Networks for Rotating Machinery Fault Diagnosis under Noise and Trend Items.
Dong H; Lu J; Han Y
Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408334
[TBL] [Abstract][Full Text] [Related]
9. Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings.
Saucedo-Dorantes JJ; Arellano-Espitia F; Delgado-Prieto M; Osornio-Rios RA
Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502720
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN.
He J; Wu P; Tong Y; Zhang X; Lei M; Gao J
Sensors (Basel); 2021 Nov; 21(21):. PubMed ID: 34770636
[TBL] [Abstract][Full Text] [Related]
12. Pre-Processing Method to Improve Cross-Domain Fault Diagnosis for Bearing.
Kim T; Chai J
Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372204
[TBL] [Abstract][Full Text] [Related]
13. A Transfer Learning Framework with a One-Dimensional Deep Subdomain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions.
Zhang R; Gu Y
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214528
[TBL] [Abstract][Full Text] [Related]
14. Time-Frequency Multi-Domain 1D Convolutional Neural Network with Channel-Spatial Attention for Noise-Robust Bearing Fault Diagnosis.
Kim Y; Kim YK
Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067684
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions.
Mao G; Zhang Z; Qiao B; Li Y
Entropy (Basel); 2022 Jan; 24(1):. PubMed ID: 35052145
[TBL] [Abstract][Full Text] [Related]
17. Application Combining VMD and ResNet101 in Intelligent Diagnosis of Motor Faults.
Lin SL
Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577272
[TBL] [Abstract][Full Text] [Related]
18. A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks.
Yang D; Karimi HR; Gelman L
Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062632
[TBL] [Abstract][Full Text] [Related]
19. Rolling Bearing Fault Diagnosis Based on Markov Transition Field and Residual Network.
Yan J; Kan J; Luo H
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632345
[TBL] [Abstract][Full Text] [Related]
20. Planetary Gear Fault Diagnosis via Feature Image Extraction Based on Multi Central Frequencies and Vibration Signal Frequency Spectrum.
Li Y; Cheng G; Pang Y; Kuai M
Sensors (Basel); 2018 May; 18(6):. PubMed ID: 29843418
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
