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Shawn Learn
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Journal Articles

Transferable Pipeline Rupture Detection Using Multiple Artificial Intelligence Classifiers During Transient Operations

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Chris MacDonald, Michael Yang, Shawn Learn, Simon Park, Ron Hugo
Journal: Journal of Pressure Vessel Technology
Publisher: ASME
Article Type: Research-Article
J. Pressure Vessel Technol. August 2022, 144(4): 041802.
Paper No: PVT-21-1028
https://doi.org/10.1115/1.4052984
Published Online: January 13, 2022
View Articletitled, Transferable Pipeline Rupture Detection Using Multiple Artificial Intelligence Classifiers During Transient Operations
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Topics: Flow (Dynamics), Pipelines, Rupture, Transients (Dynamics), Testing
Proceedings Papers

Liquid Pipeline Rupture Detection Using Multiple Artificial Intelligence Classifiers During Steady-State and Transient Operations

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Christopher MacDonald, Michael Yang, Shawn Learn, Ron Hugo, Simon Park
Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A002, September 28–30, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9237
https://doi.org/10.1115/IPC2020-9237
View Paper titled, Liquid Pipeline Rupture Detection Using Multiple Artificial Intelligence Classifiers During Steady-State and Transient Operations
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Topics: Artificial intelligence, Pipelines, Rupture, Steady state, Transients (Dynamics)
Proceedings Papers

Pipeline Rupture Detection Using Real-Time Transient Modelling and Convolutional Neural Networks

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Joel Smith, Jaehee Chae, Shawn Learn, Ron Hugo, Simon Park
Proc. ASME. IPC2018, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A016, September 24–28, 2018
Publisher: American Society of Mechanical Engineers
Paper No: IPC2018-78426
https://doi.org/10.1115/IPC2018-78426
View Paper titled, Pipeline Rupture Detection Using Real-Time Transient Modelling and Convolutional Neural Networks
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Topics: Artificial neural networks, Modeling, Pipelines, Rupture, Transients (Dynamics), Leakage, Pipeline systems, Flow (Dynamics), Licensing, Noise (Sound)
Proceedings Papers

Optimization of Averaging Window Length and Alarming Hold Time in Volume Balance RTTM Leak Detection to Minimize False Alarms and Spill Volume

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Shawn Learn, Ehsan Shahidi
Proc. ASME. IPC2018, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A029, September 24–28, 2018
Publisher: American Society of Mechanical Engineers
Paper No: IPC2018-78791
https://doi.org/10.1115/IPC2018-78791
View Paper titled, Optimization of Averaging Window Length and Alarming Hold Time in Volume Balance RTTM Leak Detection to Minimize False Alarms and Spill Volume
Open the PDF for Optimization of Averaging Window Length and Alarming Hold Time in Volume Balance RTTM Leak Detection to Minimize False Alarms and Spill Volume in another window
Topics: Leakage, Optimization, Transients (Dynamics), Particle swarm optimization, American Petroleum Institute, Optimization algorithms, Pipeline systems, Pipelines, Pressure, Probability