416 related articles for article (PubMed ID: 31248106)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network.
Yang Y; Zheng H; Li Y; Xu M; Chen Y
ISA Trans; 2019 Aug; 91():235-252. PubMed ID: 30770156
[TBL] [Abstract][Full Text] [Related]
8. Imbalanced data fault diagnosis of hydrogen sensors using deep convolutional generative adversarial network with convolutional neural network.
Sun Y; Zhao T; Zou Z; Chen Y; Zhang H
Rev Sci Instrum; 2021 Sep; 92(9):095007. PubMed ID: 34598539
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. A Novel Anti-Noise Fault Diagnosis Approach for Rolling Bearings Based on Convolutional Neural Network Fusing Frequency Domain Feature Matching Algorithm.
Zhou X; Mao S; Li M
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450970
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. A Novel Deep Convolutional Neural Network Combining Global Feature Extraction and Detailed Feature Extraction for Bearing Compound Fault Diagnosis.
Han S; Niu P; Luo S; Li Y; Zhen D; Feng G; Sun S
Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37836890
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability.
Xie W; Li Z; Xu Y; Gardoni P; Li W
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591006
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks.
Yang J; Yin S; Chang Y; Gao T
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32660068
[TBL] [Abstract][Full Text] [Related]
18. Real-Time Fault Diagnosis for Hydraulic System Based on Multi-Sensor Convolutional Neural Network.
Tao H; Jia P; Wang X; Wang L
Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257445
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Research on fault diagnosis of electric submersible pump based on improved convolutional neural network with Bayesian optimization.
Wan M; Gou M
Rev Sci Instrum; 2023 Nov; 94(11):. PubMed ID: 37982722
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]