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Proceedings Papers

Cross-Domain Health Conditions Identification Based on Joint Distribution Modeling of Fused Prototypes

Tingli Xie, Xufeng Huang, Seung-Kyum Choi
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A003, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114851
https://doi.org/10.1115/DETC2023-114851
View Paper titled, Cross-Domain Health Conditions Identification Based on Joint Distribution Modeling of Fused Prototypes
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Topics: Engineering prototypes, Modeling, Space, Artificial neural networks, Testing, Time series
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
Publisher: ASME
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
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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
Publisher: American Society of Mechanical Engineers
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
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Topics: Fault diagnosis
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
Publisher: American Society of Mechanical Engineers
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
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Topics: Artificial neural networks, Data fusion, Fault diagnosis, Machinery, Sensors
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
Publisher: American Society of Mechanical Engineers
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
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Topics: Additive manufacturing, Artificial neural networks, Modeling
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
Publisher: ASME
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
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Topics: Additive manufacturing, Artificial neural networks, Modeling, Uncertainty, Cathode ray oscilloscopes, Electron beams, Temperature