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Journal Articles

A Novel Unsupervised Domain Adaptation Transformation Reconstructed Gated Recurrent Unit Framework Considering Prediction Uncertainty for Machinery Prognostics Under Variable Lubrication Conditions

Xintian Shen, Zi Wang, Peng Ding, Xiaoli Zhao, Minping Jia
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 2025, 11(1): 011101.
Paper No: RISK-23-1097
https://doi.org/10.1115/1.4065753
Published Online: June 29, 2024
View Article titled, A Novel Unsupervised Domain Adaptation Transformation Reconstructed Gated Recurrent Unit Framework Considering Prediction Uncertainty for Machinery Prognostics Under Variable Lubrication Conditions
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Topics: Bearings, Errors, Lubrication, Machinery, Uncertainty, Signals, Dimensions, Rolling bearings, Ablation (Vaporization technology), Artificial neural networks
Proceedings Papers

Optimization of Core Parameters Based on Artificial Neural Network Surrogate Model

Shu Chen, Peng Ding, Shuowen Hu, Wenqing Xia, Min Liu, Fengwan Yu, Wenhuai Li
Proc. ASME. ICONE29, Volume 4: SMRs, Advanced Reactors, and Fusion, V004T04A005, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-90511
https://doi.org/10.1115/ICONE29-90511
View Paper titled, Optimization of Core Parameters Based on Artificial Neural Network Surrogate Model
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Topics: Artificial neural networks, Optimization
Journal Articles

A Clustering-Based Framework for Performance Degradation Prediction of Slewing Bearing Using Multiple Physical Signals

Peng Ding, Hua Wang, Yongfen Dai
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. June 2019, 5(2): 020908.
Paper No: RISK-18-1055
https://doi.org/10.1115/1.4042843
Published Online: April 15, 2019
View Article titled, A Clustering-Based Framework for Performance Degradation Prediction of Slewing Bearing Using Multiple Physical Signals
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Topics: Bearings, Signals, Vibration, Temperature, Self-organization, Torque, Failure
Journal Articles

Solution of Inverse Convection Heat Transfer Problem Using an Enhanced Particle Swarm Optimization Algorithm

Peng Ding
Journal: ASME Journal of Heat and Mass Transfer
Publisher: ASME
Article Type: Research Papers
J. Heat Mass Transfer. January 2012, 134(1): 011702.
https://doi.org/10.1115/1.4004854
Published Online: November 29, 2011
View Article titled, Solution of Inverse Convection Heat Transfer Problem Using an Enhanced Particle Swarm Optimization Algorithm
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Topics: Algorithms, Convection, Heat flux, Particle swarm optimization, Particulate matter, Errors, Inverse problems
Journal Articles

Estimation of Unknown Boundary Heat Flux in Laminar Circular Pipe Flow Using Functional Optimization Approach: Effects of Reynolds Number

Peng Ding, Wen-Quan Tao
Journal: ASME Journal of Heat and Mass Transfer
Publisher: ASME
Article Type: Research Papers
J. Heat Mass Transfer. February 2009, 131(2): 021701.
https://doi.org/10.1115/1.3013825
Published Online: December 12, 2008
View Article titled, Estimation of Unknown Boundary Heat Flux in Laminar Circular Pipe Flow Using Functional Optimization Approach: Effects of Reynolds Number
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Topics: Algorithms, Gradient methods, Heat flux, Reynolds number, Errors, Pipe flow, Optimization, Inverse problems, Thermocouples, Computation
Journal Articles

A Fast and Efficient Method for Predicting Fluid Flow and Heat Transfer Problems

Peng Ding, Xue-Hong Wu, Ya-Ling He, Wen-Quan Tao
Journal: ASME Journal of Heat and Mass Transfer
Publisher: ASME
Article Type: Research Papers
J. Heat Mass Transfer. March 2008, 130(3): 032502.
https://doi.org/10.1115/1.2804935
Published Online: March 6, 2008
View Article titled, A Fast and Efficient Method for Predicting Fluid Flow and Heat Transfer Problems
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Topics: Algorithms, Design, Eigenfunctions, Eigenvalues, Fluid dynamics, Heat transfer, Temperature, Principal component analysis, Transients (Dynamics), Cavities