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Issues
March 2023
ISSN 2332-9017
EISSN 2332-9025
In this Issue
Review Article
A Recent Review of Risk-Based Inspection Development to Support Service Excellence in the Oil and Gas Industry: An Artificial Intelligence Perspective
ASME J. Risk Uncertainty Part B. March 2023, 9(1): 010801.
doi: https://doi.org/10.1115/1.4054558
Topics:
Corrosion
,
Failure
,
Inspection
,
Pipelines
,
Probability
,
Risk
,
Risk-based inspection
,
Maintenance
,
Machine learning
,
Pressure
Research Papers
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
ASME J. Risk Uncertainty Part B. March 2023, 9(1): 011201.
doi: https://doi.org/10.1115/1.4054420
Topics:
Artificial neural networks
,
Data fusion
,
Rotors
,
Sensitivity analysis
,
Wind turbines
,
Time series
,
Wind velocity
,
Algorithms
Rolling Bearing Damage Evaluation by the Dynamic Process From Self-Induced Resonance to System Resonance of a Duffing System
ASME J. Risk Uncertainty Part B. March 2023, 9(1): 011202.
doi: https://doi.org/10.1115/1.4054694
Robust Dynamic Balancing of Dual Rotor-Active Magnetic Bearing System Through Virtual Trial Unbalances as Low and High Frequency Magnetic Excitation
ASME J. Risk Uncertainty Part B. March 2023, 9(1): 011203.
doi: https://doi.org/10.1115/1.4054695
Topics:
Disks
,
Displacement
,
Excitation
,
Magnetic bearings
,
Rotors
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
ASME J. Risk Uncertainty Part B. March 2023, 9(1): 011204.
doi: https://doi.org/10.1115/1.4054969
Topics:
Artificial neural networks
,
Corrosion
,
Inspection
,
Machine learning
,
Pipelines
,
Risk
,
Algorithms
,
Failure
,
American Petroleum Institute
,
Probability
Evaluation of Risk and Uncertainty for Model-Predicted NOAELs of Engineered Nanomaterials Based on Dose-Response-Recovery Clusters
ASME J. Risk Uncertainty Part B. March 2023, 9(1): 011205.
doi: https://doi.org/10.1115/1.4055157
A Set of Estimation and Decision Preference Experiments for Exploring Risk Assessment Biases in Engineering Students
ASME J. Risk Uncertainty Part B. March 2023, 9(1): 011206.
doi: https://doi.org/10.1115/1.4055156
Topics:
Failure
,
Probability
,
Reliability
,
Risk
,
Risk assessment
,
Engineers
,
Preferences
,
Engineering students
,
Decision making
Email alerts
RSS Feeds
Robust Design Optimization of Expensive Stochastic Simulators Under Lack-of-Knowledge
ASME J. Risk Uncertainty Part B (June 2023)
Sequential Ensemble Monte Carlo Sampler for On-Line Bayesian Inference of Time-Varying Parameter in Engineering Applications
ASME J. Risk Uncertainty Part B (September 2023)
Probabilistic Validation: Theoretical Foundation and Methodological Platform
ASME J. Risk Uncertainty Part B (June 2023)
A Reduced-Order Wiener Path Integral Formalism for Determining the Stochastic Response of Nonlinear Systems With Fractional Derivative Elements
ASME J. Risk Uncertainty Part B (September 2023)
Retracted: Remaining Useful Life Prediction Method of Aero Engine With Multilayer Uncertainty
ASME J. Risk Uncertainty Part B
