1-5 of 5
Xufeng Huang
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect

Tingli Xie, Xufeng Huang, Seung-Kyum Choi
Journal: Journal of Computing and Information Science in Engineering
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2023, 23(3): 030902.
Paper No: JCISE-22-1260
https://doi.org/10.1115/1.4056219
Published Online: December 9, 2022
View Article titled, Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect
Open the PDF for Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect in another window
Topics: Testing, Welded joints, Welding, Optimization
Proceedings Papers

Information Fusion-Based Meta-Learning for Few-Shot Fault Diagnosis Under Different Working Conditions

Tingli Xie, Xufeng Huang, Seung-Kyum Choi
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A009, August 14–17, 2022
Paper No: DETC2022-90934
https://doi.org/10.1115/DETC2022-90934
View Paper titled, Information Fusion-Based Meta-Learning for Few-Shot Fault Diagnosis Under Different Working Conditions
Open the PDF for Information Fusion-Based Meta-Learning for Few-Shot Fault Diagnosis Under Different Working Conditions in another window
Topics: Fault diagnosis
Proceedings Papers

Point-Cloud Neural Network Using Transfer Learning-Based Multi-Fidelity Method for Thermal Field Prediction in Additive Manufacturing

Xufeng Huang, Zhen Hu, Tingli Xie, Zhuo Wang, Lei Chen, Qi Zhou
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A038, August 17–19, 2021
Paper No: DETC2021-67963
https://doi.org/10.1115/DETC2021-67963
View Paper titled, Point-Cloud Neural Network Using Transfer Learning-Based Multi-Fidelity Method for Thermal Field Prediction in Additive Manufacturing
Open the PDF for Point-Cloud Neural Network Using Transfer Learning-Based Multi-Fidelity Method for Thermal Field Prediction in Additive Manufacturing in another window
Topics: Additive manufacturing, Artificial neural networks, Modeling
Proceedings Papers

Multi-Sensor Data Fusion for Rotating Machinery Fault Diagnosis Using Residual Convolutional Neural Network

Tingli Xie, Xufeng Huang, Seung-Kyum Choi
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A023, August 17–19, 2021
Paper No: DETC2021-67406
https://doi.org/10.1115/DETC2021-67406
View Paper titled, Multi-Sensor Data Fusion for Rotating Machinery Fault Diagnosis Using Residual Convolutional Neural Network
Open the PDF for Multi-Sensor Data Fusion for Rotating Machinery Fault Diagnosis Using Residual Convolutional Neural Network in another window
Topics: Artificial neural networks, Data fusion, Fault diagnosis, Machinery, Sensors
Journal Articles

A Transfer Learning-Based Multi-Fidelity Point-Cloud Neural Network Approach for Melt Pool Modeling in Additive Manufacturing

Xufeng Huang, Tingli Xie, Zhuo Wang, Lei Chen, Qi Zhou, Zhen Hu
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011104.
Paper No: RISK-21-1011
https://doi.org/10.1115/1.4051749
Published Online: August 4, 2021
View Article titled, A Transfer Learning-Based Multi-Fidelity Point-Cloud Neural Network Approach for Melt Pool Modeling in Additive Manufacturing
Open the PDF for A Transfer Learning-Based Multi-Fidelity Point-Cloud Neural Network Approach for Melt Pool Modeling in Additive Manufacturing in another window
Topics: Additive manufacturing, Artificial neural networks, Modeling, Uncertainty, Cathode ray oscilloscopes, Electron beams, Temperature