Topics: Bearings , Errors , Lubrication , Machinery , Uncertainty , Signals , Dimensions , Rolling bearings , Ablation (Vaporization technology) , Artificial neural networks

Innovative Bearing Fault Diagnosis Method: Combining Swin Transformer Deep Learning and Acoustic Emission Technology

Peng Jiang, Jinlei Xia, Wei Li, Chenqi Xu, Wenyu Sun

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011102. doi: https://doi.org/10.1115/1.4065754

Abstracts

View articletitled, Innovative Bearing Fault Diagnosis Method: Combining Swin Transformer Deep Learning and Acoustic Emission Technology

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Topics: Bearings , Fault diagnosis , Acoustic emissions , Deep learning , Signals , Filters

Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates

Yichao Zeng, Jice Zeng, Michael D. Todd, Zhen Hu

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011103. doi: https://doi.org/10.1115/1.4065755

Abstracts

View articletitled, Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates

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Topics: Damage , Gates (Closures) , Sensors , Generators

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

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011104. doi: https://doi.org/10.1115/1.4066054

Abstracts

View articletitled, 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

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

Guofeng Qian, Jice Zeng, Zhen Hu, Michael D. Todd

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011105. doi: https://doi.org/10.1115/1.4065845

Abstracts

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

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Topics: Corrosion , Simulation , Artificial neural networks

Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems

Zhou Kai, Qianyu Zhou, Jiong Tang

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011106. doi: https://doi.org/10.1115/1.4067001

Abstracts

View articletitled, Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems

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Topics: Convolutional neural networks , Deep learning , Fault diagnosis , Gears , Machinery , Noise (Sound) , Testing , Uncertainty , Vibration , Probability

Daily Engine Performance Trending Using Common Flight Regime Identification

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

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011107. doi: https://doi.org/10.1115/1.4067057

Abstracts

View articletitled, Daily Engine Performance Trending Using Common Flight Regime Identification

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Topics: Engines , Flight , Testing

On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications

Antonios Kamariotis, Konstantinos Vlachas, Vasileios Ntertimanis, Ioannis Koune, Alice Cicirello, Eleni Chatzi

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011108. doi: https://doi.org/10.1115/1.4067140

Abstract

View articletitled, On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications

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Topics: Structural health monitoring , Uncertainty , Damage

Research Paper

Identification of Crashworthy Designs Combining Active Learning and the Solution Space Methodology

Paolo Ascia, Stefano Marelli, Bruno Sudret, Fabian Duddeck

ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011201. doi: https://doi.org/10.1115/1.4066621

Abstract

View articletitled, Identification of Crashworthy Designs Combining Active Learning and the Solution Space Methodology

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Topics: Crashworthiness , Design , Reliability , Simulation , Algorithms , Failure , Errors , Vehicles , Molten salt reactors

All Issues

Select Articles from Part A: Civil Engineering

Technical Papers

Critical Causal Path Analysis of Subway Construction Safety Accidents Based on Text Mining

Xiaosen Huo, Shuang Du, Liudan Jiao

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. March 2025, 11(1): 04024075. doi: https://doi.org/10.1061/AJRUA6.RUENG-1284

Abstract

Topics: Accidents , Construction , Safety , Subways , Text analytics

Recalibration of LRFD Resistance Factors for Driven Steel Piles at End of Drive Conditions in Alberta, Canada

Pedram Roshani, Julio Ángel Infante Sedano, Reza Rezvani, Mohammad Amin Tutunchian

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. March 2025, 11(1): 04024077. doi: https://doi.org/10.1061/AJRUA6.RUENG-1328

Abstract

Topics: Steel , Design , Stress , Databases , Load bearing capacity , Calibration , Simulation , Soil

Multiway Analytics Applied to Railway Track Geometry and Ballast Conditions

Petros Woldemariam, Nii Attoh-Okine

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. March 2025, 11(1): 04024079. doi: https://doi.org/10.1061/AJRUA6.RUENG-1367

Abstract

Topics: Geometry , Railroads

Identification of Causes and Individuals at Risk of Falls during Vertical Formwork Operation in Construction

Vigneshkumar Chellappa, Ph.D., Urmi Ravindra Salve, Ph.D.

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. March 2025, 11(1): 04024092. doi: https://doi.org/10.1061/AJRUA6.RUENG-1304

Abstract

Topics: Construction , Risk

Robustness of Urban Rail Transit Networks Considering Cascade Failure under Attacks: A Case Study of Nanjing, China

Zhuanglin Ma, Dawei Hu, Steven I-Jy Chien, Jie Liu, Yue Liu, Ke Wu

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. March 2025, 11(1): 04024093. doi: https://doi.org/10.1061/AJRUA6.RUENG-1324

Abstract

Topics: Cascades (Fluid dynamics) , China , Cities , Failure , Rail transportation , Robustness

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Propagation of Systematic Sensor Uncertainty Into the Frequency Domain

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Reviewer's Recognition

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Guest Editorial

Special Section on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems

Special Papers

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

Innovative Bearing Fault Diagnosis Method: Combining Swin Transformer Deep Learning and Acoustic Emission Technology

Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates

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

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

Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems

Daily Engine Performance Trending Using Common Flight Regime Identification

On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications

Research Paper

Identification of Crashworthy Designs Combining Active Learning and the Solution Space Methodology

Select Articles from Part A: Civil Engineering

Technical Papers

Critical Causal Path Analysis of Subway Construction Safety Accidents Based on Text Mining

Recalibration of LRFD Resistance Factors for Driven Steel Piles at End of Drive Conditions in Alberta, Canada

Multiway Analytics Applied to Railway Track Geometry and Ballast Conditions

Identification of Causes and Individuals at Risk of Falls during Vertical Formwork Operation in Construction

Robustness of Urban Rail Transit Networks Considering Cascade Failure under Attacks: A Case Study of Nanjing, China

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