Data Analytics, Machine Learning, and Artificial Intelligence: II -- ANS / Meetings / NPIC&HMIT 2023 and PSA 2023 Co-Located Meetings / 13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)

Papers

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Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems

10:00–10:25AM EDT

Xingang Zhao (ORNL), Bryan Maldonado Puente (ORNL), Siyan Liu (ORNL), Seung-Hwan Lim (ORNL), William Gurecky (ORNL), Dan Lu (ORNL), Matthew Howell (ORNL), Frank Liu (ORNL), Wesley Williams (ORNL), Pradeep Ramuhalli (ORNL)

Paper

Quantifying Uncertainty of Deep Reinforcement Learning Based Decision Making for Operations and Maintenance of Nuclear Power Plant

10:25–10:50AM EDT

Ryan M. Spangler (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)

Paper

Development of a Virtual Sensor for Leading Edge Flow Meter Measurements in Nuclear Power Plants

10:50–11:15AM EDT

Brent Shumaker (Analysis and Measurement Services Corp.), Christopher Guillotte (Analysis and Measurement Services Corp.), Brian Moazen (Analysis and Measurement Services Corp.), Zachary Becker (Analysis and Measurement Services Corp.), Jamie Coble (Univ. Tennessee, Knoxville)

Presented by Ryan O’Hagan (Analysis and Measurement Services Corp.)

Paper

Using Machine Learning to Extract and Normalize Historic Maintenance Data from Work Descriptions

11:15–11:40AM EDT

Nicholas Zwiryk (Westinghouse Electric Co.), Steven Yurkovich (Westinghouse Electric Co.)

Paper

Discussion

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