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Journal Articles

A Data Driven Black Box Approach for the Inverse Quantification of Set-Theoretical Uncertainty

Lars Bogaerts, Matthias G.R. Faes, David Moens
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. September 2025, 11(3): 031201.
Paper No: RISK-24-1030
https://doi.org/10.1115/1.4066619
Published Online: November 4, 2024
View Article titled, A Data Driven Black Box Approach for the Inverse Quantification of Set-Theoretical Uncertainty
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Topics: Artificial neural networks, Deep learning, Dimensions, Uncertainty, Welding, Pressure, Finite element model, Uncertainty quantification, Algorithms
Journal Articles

Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks

Guofeng Qian, Jice Zeng, Zhen Hu, Michael D. Todd
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): 011105.
Paper No: RISK-24-1050
https://doi.org/10.1115/1.4065845
Published Online: September 26, 2024
View Article titled, Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks
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Topics: Corrosion, Simulation, Artificial neural networks
Journal Articles

Uncertainty-Aware, Structure-Preserving Machine Learning Approach for Domain Shift Detection From Nonlinear Dynamic Responses of Structural Systems

David A. Najera-Flores, Justin Jacobs, D. Dane Quinn, Anthony Garland, Michael D. Todd
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): 011104.
Paper No: RISK-24-1049
https://doi.org/10.1115/1.4066054
Published Online: August 17, 2024
View Article titled, Uncertainty-Aware, Structure-Preserving Machine Learning Approach for Domain Shift Detection From Nonlinear Dynamic Responses of Structural Systems
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Topics: Algorithms, Artificial neural networks, Damage, Damping, Digital twin, Dynamic response, Machine learning, Preservation, Structural health monitoring, Testing
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
Journal Articles

LSTM Neural Networks Using the SMOTE Algorithm for Wind Turbine Fault Prediction

Júlio Oliveira Schmidt, Lucas França Aires, Guilherme Ricardo Hubner, Humberto Pinheiro, Daniel Fernando Tello Gamarra
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. September 2024, 10(3): 031202.
Paper No: RISK-23-1070
https://doi.org/10.1115/1.4064375
Published Online: February 1, 2024
View Article titled, LSTM Neural Networks Using the SMOTE Algorithm for Wind Turbine Fault Prediction
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Topics: Algorithms, Artificial neural networks, Spectral energy distribution, Wind turbines, Rotors, Blades
Journal Articles

Ensemble of Artificial Neural Networks for Approximating the Survival Signature of Critical Infrastructures

Francesco Di Maio, Chiara Pettorossi, Enrico Zio
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 2024, 10(1): 011202.
Paper No: RISK-22-1061
https://doi.org/10.1115/1.4063427
Published Online: October 3, 2023
View Article titled, Ensemble of Artificial Neural Networks for Approximating the Survival Signature of Critical Infrastructures
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Topics: Artificial neural networks, Reliability, Approximation
Journal Articles

The Study of Artificial Intelligent in Risk-Based Inspection Assessment and Screening: A Study Case of Inline Inspection

Taufik Aditiyawarman, Johny Wahyuadi Soedarsono, Agus Paul Setiawan Kaban, Rini Riastuti, Haryo Rahmadani
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 2023, 9(1): 011204.
Paper No: RISK-21-1099
https://doi.org/10.1115/1.4054969
Published Online: August 8, 2022
View Article titled, The Study of Artificial Intelligent in Risk-Based Inspection Assessment and Screening: A Study Case of Inline Inspection
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Topics: Artificial neural networks, Corrosion, Inspection, Machine learning, Pipelines, Risk, Algorithms, Failure, American Petroleum Institute, Probability
Journal Articles

Mass Imbalance Diagnostics in Wind Turbines Using Deep Learning With Data Augmentation

Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias, Guilherme R. Hübner, Claiton M. Franchi, Humberto Pinheiro
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 2023, 9(1): 011201.
Paper No: RISK-21-1069
https://doi.org/10.1115/1.4054420
Published Online: June 2, 2022
View Article titled, Mass Imbalance Diagnostics in Wind Turbines Using Deep Learning With Data Augmentation
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Topics: Artificial neural networks, Data fusion, Rotors, Sensitivity analysis, Wind turbines, Time series, Wind velocity, Algorithms
Journal Articles

Improving Site-Dependent Wind Turbine Performance Prediction Accuracy Using Machine Learning

Sarah Barber, Florian Hammer, Adrian Tica
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 2022, 8(2): 021102.
Paper No: RISK-21-1026
https://doi.org/10.1115/1.4053513
Published Online: March 1, 2022
View Article titled, Improving Site-Dependent Wind Turbine Performance Prediction Accuracy Using Machine Learning
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Topics: Artificial neural networks, Machine learning, Simulation, Wind farms, Wind turbines, Wind velocity, Deflection, Blades, Errors, Turbulence
Journal Articles

Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication

Berkcan Kapusuzoglu, Paromita Nath, Matthew Sato, Sankaran Mahadevan, Paul Witherell
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): 011112.
Paper No: RISK-21-1006
https://doi.org/10.1115/1.4053181
Published Online: January 6, 2022
View Article titled, Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication
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Topics: Artificial neural networks, Design, Manufacturing, Optimization, Pareto optimization, Uncertainty
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
Journal Articles

Dynamic Response Analysis of Gearbox to Improve Fault Detection Using Empirical Mode Decomposition and Artificial Neural Network Techniques

R. G. Desavale, P. M. Jadhav, Nagaraj V. Dharwadkar
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. September 2021, 7(3): 031007.
Paper No: RISK-20-1121
https://doi.org/10.1115/1.4051344
Published Online: June 28, 2021
View Article titled, Dynamic Response Analysis of Gearbox to Improve Fault Detection Using Empirical Mode Decomposition and Artificial Neural Network Techniques
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Topics: Artificial neural networks, Mechanical drives, Signals, Condition monitoring, Algorithms, Gears
Journal Articles

Shallow and Deep Artificial Neural Networks for Structural Reliability Analysis

Wellison José de Santana Gomes
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. December 2020, 6(4): 041006.
Paper No: RISK-19-1088
https://doi.org/10.1115/1.4047636
Published Online: July 17, 2020
View Article titled, Shallow and Deep Artificial Neural Networks for Structural Reliability Analysis
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Topics: Artificial neural networks, Reliability
Journal Articles

Machine Learning Approaches for Performance Assessment of Nuclear Fuel Assemblies Subject to Seismic-Induced Impacts

Domenico Altieri, Marie-Cécile Robin-Boudaoud, Hannes Kessler, Manuel Pellissetti, Edoardo Patelli
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. December 2020, 6(4): 041002.
Paper No: RISK-19-1057
https://doi.org/10.1115/1.4046926
Published Online: June 8, 2020
View Article titled, Machine Learning Approaches for Performance Assessment of Nuclear Fuel Assemblies Subject to Seismic-Induced Impacts
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Topics: Artificial neural networks, Fuels, Manufacturing
Journal Articles

Structural Reliability Analysis Using Adaptive Artificial Neural Networks

Wellison José de Santana Gomes
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. December 2019, 5(4): 041004.
Paper No: RISK-18-1050
https://doi.org/10.1115/1.4044040
Published Online: September 25, 2019
View Article titled, Structural Reliability Analysis Using Adaptive Artificial Neural Networks
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Topics: Artificial neural networks, Event history analysis, Reliability
Journal Articles

Foundry Data Analytics to Identify Critical Parameters Affecting Quality of Investment Castings

Amit Sata, B. Ravi
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 2019, 5(1): 011010.
Paper No: RISK-18-1014
https://doi.org/10.1115/1.4041296
Published Online: November 19, 2018
View Article titled, Foundry Data Analytics to Identify Critical Parameters Affecting Quality of Investment Castings
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Topics: Alloys, Casting, Computation, Investment castings, Mechanical properties, Probability, Artificial neural networks, Metals, Investment casting (Process), Tensile strength