141 related articles for article (PubMed ID: 36991869)
1. Lite and Efficient Deep Learning Model for Bearing Fault Diagnosis Using the CWRU Dataset.
Yoo Y; Jo H; Ban SW
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991869
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Bearing-Fault Diagnosis with Signal-to-RGB Image Mapping and Multichannel Multiscale Convolutional Neural Network.
Xu M; Gao J; Zhang Z; Wang H
Entropy (Basel); 2022 Oct; 24(11):. PubMed ID: 36359658
[TBL] [Abstract][Full Text] [Related]
4. A New Bearing Fault Diagnosis Method Based on Capsule Network and Markov Transition Field/Gramian Angular Field.
Han B; Zhang H; Sun M; Wu F
Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833837
[TBL] [Abstract][Full Text] [Related]
5. Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples.
Yang D; Karimi HR; Sun K
Neural Netw; 2021 Sep; 141():133-144. PubMed ID: 33901878
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery.
Ma S; Cai W; Liu W; Shang Z; Liu G
Sensors (Basel); 2019 May; 19(10):. PubMed ID: 31137616
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems.
Pham MT; Kim JM; Kim CH
Sensors (Basel); 2020 Dec; 20(23):. PubMed ID: 33276483
[TBL] [Abstract][Full Text] [Related]
10. Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques.
Sanakkayala DC; Varadarajan V; Kumar N; Karan ; Soni G; Kamat P; Kumar S; Patil S; Kotecha K
Micromachines (Basel); 2022 Sep; 13(9):. PubMed ID: 36144094
[TBL] [Abstract][Full Text] [Related]
11. Research on a Bearing Fault Enhancement Diagnosis Method with Convolutional Neural Network Based on Adaptive Stochastic Resonance.
Wang C; Qiao Z; Huang Z; Xu J; Fang S; Zhang C; Liu J; Zhu R; Lai Z
Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433327
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform.
Li G; Deng C; Wu J; Xu X; Shao X; Wang Y
Sensors (Basel); 2019 Jun; 19(12):. PubMed ID: 31248106
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors.
Toma RN; Piltan F; Kim JM
Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960552
[TBL] [Abstract][Full Text] [Related]
16. MAB-DrNet: Bearing Fault Diagnosis Method Based on an Improved Dilated Convolutional Neural Network.
Zhang F; Yin Z; Xu F; Li Y; Xu G
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420699
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning.
Li C; Sánchez RV; Zurita G; Cerrada M; Cabrera D
Sensors (Basel); 2016 Jun; 16(6):. PubMed ID: 27322273
[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. A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults.
Shenfield A; Howarth M
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32911771
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
