Topics: Calibration , Data acquisition , Robotics , Artificial neural networks , Feedback , Deep neural networks , Aviation , Design , Errors , Collisions (Physics)

Uncertainty Quantification for Multidimensional Correlated Flow Field Responses

Wei Zhao, Luogeng Lv, Jiao Zhao, Wei Xiao, Jiangtao Chen, Xiaojun Wu

J. Verif. Valid. Uncert. June 2024, 9(2): 021002. doi: https://doi.org/10.1115/1.4065070

Abstracts

View articletitled, Uncertainty Quantification for Multidimensional Correlated Flow Field Responses

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Topics: Airfoils , Artificial neural networks , Computational fluid dynamics , Flow (Dynamics) , Principal component analysis , Sensitivity analysis , Simulation , Uncertainty , Wings , Pressure

A Bayesian Multi-Fidelity Neural Network to Predict Nonlinear Frequency Backbone Curves

David A. Najera-Flores, Jonel Ortiz, Moheimin Y. Khan, Robert J. Kuether, Paul R. Miles

J. Verif. Valid. Uncert. June 2024, 9(2): 021003. doi: https://doi.org/10.1115/1.4064776

Abstracts

View articletitled, A Bayesian Multi-Fidelity Neural Network to Predict Nonlinear Frequency Backbone Curves

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Topics: Artificial neural networks , Physics , Friction , Design , Simulation , Finite element model , Calibration , Sensitivity analysis , Trains

Approximate Integral Method for Nonlinear Reliability Analysis

Zhenzhong Chen, Guiming Qiu, Xiaoke Li, Rui Jin

J. Verif. Valid. Uncert. June 2024, 9(2): 021004. doi: https://doi.org/10.1115/1.4065183

Abstract

View articletitled, Approximate Integral Method for Nonlinear Reliability Analysis

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Topics: Event history analysis , Failure , Probability , Reliability , Simulation

Uncertainty Quantification of a Machine Learning Model for Identification of Isolated Nonlinearities With Conformal Prediction

David A. Najera-Flores, Justin Jacobs, D. Dane Quinn, Anthony Garland, Michael D. Todd

J. Verif. Valid. Uncert. June 2024, 9(2): 021005. doi: https://doi.org/10.1115/1.4064777

Abstracts

View articletitled, Uncertainty Quantification of a Machine Learning Model for Identification of Isolated Nonlinearities With Conformal Prediction

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Topics: Artificial neural networks , Damage , Machine learning , Noise (Sound) , Uncertainty quantification

A Curved Surface Integral Method for Reliability Analysis of Multiple Failure Modes System With Nonoverlapping Failure Domains

Zhenzhong Chen, Haoxun Mu, Xiaoke Li

J. Verif. Valid. Uncert. June 2024, 9(2): 021006. doi: https://doi.org/10.1115/1.4065857

Abstracts

View articletitled, A Curved Surface Integral Method for Reliability Analysis of Multiple Failure Modes System With Nonoverlapping Failure Domains

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Topics: Event history analysis , Failure , Failure mechanisms , Probability , Reliability

Reliability Analysis for Rotate Vector Reducer by Combining Polynomial Chaos Expansion and Saddlepoint Approximation Considering Multi-Failure Modes

Shunqi Yang, Huipeng Xiao, Pan Lu, Guohua Xu, Hao Li, Xiaoling Zhang

J. Verif. Valid. Uncert. June 2024, 9(2): 021007. doi: https://doi.org/10.1115/1.4065690

Abstracts

View articletitled, Reliability Analysis for Rotate Vector Reducer by Combining Polynomial Chaos Expansion and Saddlepoint Approximation Considering Multi-Failure Modes

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Topics: Approximation , Chaos , Errors , Event history analysis , Failure , Failure mechanisms , Gears , Polynomials , Reliability , Simulation

Sparse Identification of Nonlinear Dynamics-Based Feature Extraction for Data Driven Model Predictive Control of a Buck Boost Switch Mode Power Supply

Declan P. Mallamo, Michael H. Azarian, Michael G. Pecht

J. Verif. Valid. Uncert. June 2024, 9(2): 021008. doi: https://doi.org/10.1115/1.4065827

Abstracts

View articletitled, Sparse Identification of Nonlinear Dynamics-Based Feature Extraction for Data Driven Model Predictive Control of a Buck Boost Switch Mode Power Supply

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Topics: Algorithms , Cycles , Dynamics (Mechanics) , Errors , Heat conduction , Inductors , Modeling , Nonlinear dynamics , Predictive control , Signals

Machine Learning-Based Resilience Modeling and Assessment of High Consequence Systems Under Uncertainty

Cong Liu, Fengjun Wang, Chaoyang Xie

J. Verif. Valid. Uncert. June 2024, 9(2): 021009. doi: https://doi.org/10.1115/1.4065466

Abstracts

View articletitled, Machine Learning-Based Resilience Modeling and Assessment of High Consequence Systems Under Uncertainty

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Topics: Resilience , Safety , Packaging , Uncertainty , Polishing equipment , Machinery

A Framework for Developing Systematic Testbeds for Multifidelity Optimization Techniques

Siyu Tao, Chaitra Sharma, Srikanth Devanathan

J. Verif. Valid. Uncert. June 2024, 9(2): 021010. doi: https://doi.org/10.1115/1.4065719

Abstracts

View articletitled, A Framework for Developing Systematic Testbeds for Multifidelity Optimization Techniques

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Topics: Hafnium , Optimization , Testing

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Automatic Ground-Truth Image Labeling for Deep Neural Network Training and Evaluation Using Industrial Robotics and Motion Capture

Uncertainty Quantification for Multidimensional Correlated Flow Field Responses

A Bayesian Multi-Fidelity Neural Network to Predict Nonlinear Frequency Backbone Curves

Approximate Integral Method for Nonlinear Reliability Analysis

Uncertainty Quantification of a Machine Learning Model for Identification of Isolated Nonlinearities With Conformal Prediction

A Curved Surface Integral Method for Reliability Analysis of Multiple Failure Modes System With Nonoverlapping Failure Domains

Reliability Analysis for Rotate Vector Reducer by Combining Polynomial Chaos Expansion and Saddlepoint Approximation Considering Multi-Failure Modes

Sparse Identification of Nonlinear Dynamics-Based Feature Extraction for Data Driven Model Predictive Control of a Buck Boost Switch Mode Power Supply

Machine Learning-Based Resilience Modeling and Assessment of High Consequence Systems Under Uncertainty

A Framework for Developing Systematic Testbeds for Multifidelity Optimization Techniques

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