332 related articles for article (PubMed ID: 35062632)
1. 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]
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. 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]
4. 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]
5. 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]
6. Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis.
Faysal A; Ngui WK; Lim MH; Leong MS
Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884120
[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. Parallel multi-fusion convolutional neural networks based fault diagnosis of rotating machinery under noisy environments.
Li G; Wu J; Deng C; Chen Z
ISA Trans; 2022 Sep; 128(Pt A):545-555. PubMed ID: 34799098
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery.
Gao Y; Piltan F; Kim JM
Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236633
[TBL] [Abstract][Full Text] [Related]
11. Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN.
Zaman W; Ahmad Z; Siddique MF; Ullah N; Kim JM
Sensors (Basel); 2023 Jun; 23(11):. PubMed ID: 37299982
[TBL] [Abstract][Full Text] [Related]
12. Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain.
Hakim M; Omran AAB; Inayat-Hussain JI; Ahmed AN; Abdellatef H; Abdellatif A; Gheni HM
Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957359
[TBL] [Abstract][Full Text] [Related]
13. Ensemble Dilated Convolutional Neural Network and Its Application in Rotating Machinery Fault Diagnosis.
Cai Y; Wang Z; Yao L; Lin T; Zhang J
Comput Intell Neurosci; 2022; 2022():6316140. PubMed ID: 36188683
[TBL] [Abstract][Full Text] [Related]
14. A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network.
Guo S; Yang T; Gao W; Zhang C
Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29734704
[TBL] [Abstract][Full Text] [Related]
15. Deep residual learning-based fault diagnosis method for rotating machinery.
Zhang W; Li X; Ding Q
ISA Trans; 2019 Dec; 95():295-305. PubMed ID: 30598323
[TBL] [Abstract][Full Text] [Related]
16. An Intelligent Fault Diagnosis Method for Bearings with Variable Rotating Speed Based on Pythagorean Spatial Pyramid Pooling CNN.
Guo S; Yang T; Gao W; Zhang C; Zhang Y
Sensors (Basel); 2018 Nov; 18(11):. PubMed ID: 30424001
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks.
Li H; Huang J; Yang X; Luo J; Zhang L; Pang Y
Entropy (Basel); 2020 Jul; 22(8):. PubMed ID: 33286622
[TBL] [Abstract][Full Text] [Related]
20. Fault Diagnosis of Rotating Machinery under Noisy Environment Conditions Based on a 1-D Convolutional Autoencoder and 1-D Convolutional Neural Network.
Liu X; Zhou Q; Zhao J; Shen H; Xiong X
Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30823579
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]