Search Results | ASME Digital Collection

Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T06A005, September 26–30, 2022

Paper No: IPC2022-87337

DOI: https://doi.org/10.1115/IPC2022-87337

View Paper

Topics: Displacement, Ditches, Fitness-for-service, Flow (Dynamics), Geohazards, Landslides, Maintenance, Measurement units and standards, Nondestructive evaluation, Pipelines

Proceedings Papers

Probabilistic Flaw Growth Rate Estimates Using Multiple Inline Inspection Tool Run Data Analyses

Colin Scott, Kregg Philpott

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A002, September 26–30, 2022

Paper No: IPC2022-87054

DOI: https://doi.org/10.1115/IPC2022-87054

View Paper

Topics: Inspection, Pipelines

Proceedings Papers

Not All Data Is Good Data: The Challenges of Using Machine Learning With ILI

Adrian Belanger, Dane Burden, Paul Dalfonso

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A023, September 26–30, 2022

Paper No: IPC2022-86934

DOI: https://doi.org/10.1115/IPC2022-86934

View Paper

Topics: Machine learning, Nondestructive evaluation, Errors, Metals, Pipelines, Cycles, Inspection, Accuracy and precision, Dimensions, Ditches

Proceedings Papers

Assessing Internal Pitting Corrosion With Encoded Ultrasonic Scanning

Joe Chen, Yanping Li, Trevor Place, Axel Aulin, Logan Galbraith

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A020, September 26–30, 2022

Paper No: IPC2022-86884

DOI: https://doi.org/10.1115/IPC2022-86884

View Paper

Topics: Corrosion, Nondestructive evaluation

Proceedings Papers

Estimating Measurement Performance With Truncated Data Sets

Jason Skow, Joseph W. Krynicki, Alex Fraser, Gustavo Gonzalez

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A026, September 26–30, 2022

Paper No: IPC2022-87060

DOI: https://doi.org/10.1115/IPC2022-87060

View Paper

Topics: Algorithms, American Petroleum Institute, Errors, Event history analysis, Fracture (Materials), Inspection, Nondestructive evaluation, Pipeline integrity, Pipelines, Risk

Proceedings Papers

Pipeline Defect Detection and Fine-Scale Reconstruction From 3-D MFL Signal Analysis Using Object Detection and Physics-Constrained Machine Learning

W. Steven Rosenthal, Stephen Westwood, Kayte Denslow

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A060, September 26–30, 2022

Paper No: IPC2022-87313

DOI: https://doi.org/10.1115/IPC2022-87313

View Paper

Topics: Flaw detection, Machine learning, Physics, Pipelines, Signals

Proceedings Papers

Post-Heating as an Alternative to Delayed Nondestructive Examination (NDE)

Melissa Gould, William A. Bruce, Russell Scoles

Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T05A025, September 26–30, 2022

Paper No: IPC2022-87109

DOI: https://doi.org/10.1115/IPC2022-87109

View Paper

Topics: Construction, Heating, Inspection, Nondestructive evaluation, Welding, Welded joints, Hydrogen, Cracking (Materials), Fracture (Process), Temperature

Proceedings Papers

Detection and Mitigation of Copper Contamination in Mechanized Onshore Pipeline Girth Welds

Kenneth Lee, Paul Spielbauer, David Culbertson, Bob Huntley

Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T05A028, September 26–30, 2022

Paper No: IPC2022-87297

DOI: https://doi.org/10.1115/IPC2022-87297

View Paper

Topics: Contamination, Copper, Nondestructive evaluation, Pipelines, Welded joints, Welding, Gas metal arc welding, Cracking (Materials), Fracture (Process), Arc welding

Proceedings Papers

Overcoming Material and Test Variability Challenges in In-Situ Material Verification

Soheil Safari Loaliyan, Intisar Rizwan-I-Haque, Yasamin Salamat, Ryan Lacy, Mohammadamin Mahmoudabadbozchelou, Simon Bellemare, Buddy Powers, Tom Eagar

Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T05A018, September 26–30, 2022

Paper No: IPC2022-87361

DOI: https://doi.org/10.1115/IPC2022-87361

View Paper

Topics: Gaussian distribution, Maintenance, Materials properties, Nondestructive evaluation, Pipelines, Pipes, Risk, Testing

Journal Articles

Localized Damage Identification in the Last Stage Low-Pressure Steam Turbine Blade Using Dynamic Parameter Measurements

Keshav Ramesh Shetkar, J. Srinivas

ASME J Nondestructive Evaluation. February 2023, 6(1): 011006.

Paper No: NDE-22-1021

DOI: https://doi.org/10.1115/1.4056312

Published Online: December 12, 2022

View Article

Topics: Blades, Fracture (Materials), Steam turbines, Artificial neural networks, Vibration, Damage

Journal Articles

Detection and Characterization of Fatigue Cracks in Butt Welds of Offshore Structures Using the Eddy Current Method

René Gansel, Hans Jürgen Maier, Sebastian Barton

ASME J Nondestructive Evaluation. May 2023, 6(2): 021001.

Paper No: NDE-22-1027

DOI: https://doi.org/10.1115/1.4056313

Published Online: December 12, 2022

View Article

Topics: Eddies (Fluid dynamics), Eddy currents (Electricity), Fatigue cracks, Fracture (Materials), Sensors, Signals, Welded joints, Calibration, Inspection, Eddy current testing

Journal Articles

Log Grading and Knot Identification by Oblique X-Ray Scanning

C. S. Omori, G. S. Schajer

ASME J Nondestructive Evaluation. May 2023, 6(2): 021002.

Paper No: NDE-22-1010

DOI: https://doi.org/10.1115/1.4056342

Published Online: December 12, 2022

View Article

Topics: X-rays, Sensors, Lumber, Algorithms, Image processing

Journal Articles

Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds

Omey M. Manyar, Junyan Cheng, Reuben Levine, Vihan Krishnan, Jernej Barbič, Satyandra K. Gupta

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 030903.

Paper No: JCISE-22-1284

DOI: https://doi.org/10.1115/1.4056295

Published Online: December 9, 2022

View Article

Topics: Composite materials, Failure, Flaw detection, Physics, Pipelines, Texture (Materials), Manufacturing, Simulation, Carbon fibers, Image segmentation

Journal Articles

MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud

Yinan Wang, Wenbo Sun, Jionghua (Judy) Jin, Zhenyu (James) Kong, Xiaowei Yue

J. Manuf. Sci. Eng. March 2023, 145(3): 031004.

Paper No: MANU-21-1430

DOI: https://doi.org/10.1115/1.4056005

Published Online: December 2, 2022

View Article

Topics: Artificial neural networks, Flaw detection

2 3 4 5

Journal citation

NARROW

Supplemental Material

Manuscript

Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network

On Propagation of Material Property Uncertainty through Signal Energy-Based Acoustic Source Localization in an Orthotropic Plate

Flaw Detection in Multi-Laser Powder Bed Fusion Using In Situ Coaxial Multi-Spectral Sensing and Deep Learning

Intelligent Detection and Classification of Surface Defects on Cold-Rolled Galvanized Steel Strips Using a Data-Driven Faulty Model With Attention Mechanism

Utilization of a Probabilistic Function to Describe the Performance of In-Line Crack Inspection Systems and a Possible Application in Hydrogen Service

New Approaches in Utilizing Eddy Current Testing to Address Pipeline Inline Inspection Requirement

Application of Strain Based Assessment in Support of Operational and Mitigation Decisions

Probabilistic Flaw Growth Rate Estimates Using Multiple Inline Inspection Tool Run Data Analyses

Not All Data Is Good Data: The Challenges of Using Machine Learning With ILI

Assessing Internal Pitting Corrosion With Encoded Ultrasonic Scanning

Estimating Measurement Performance With Truncated Data Sets

Pipeline Defect Detection and Fine-Scale Reconstruction From 3-D MFL Signal Analysis Using Object Detection and Physics-Constrained Machine Learning

Post-Heating as an Alternative to Delayed Nondestructive Examination (NDE)

Detection and Mitigation of Copper Contamination in Mechanized Onshore Pipeline Girth Welds

Overcoming Material and Test Variability Challenges in In-Situ Material Verification

Localized Damage Identification in the Last Stage Low-Pressure Steam Turbine Blade Using Dynamic Parameter Measurements

Detection and Characterization of Fatigue Cracks in Butt Welds of Offshore Structures Using the Eddy Current Method

Log Grading and Knot Identification by Oblique X-Ray Scanning

Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds

MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only