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Prediction of Optical Sensor Behaviors in a Nuclear Reactor Core using Temporal Convolutional Networks

  • Zekun Wu
  • , Mohamed Bayoumy
  • , Cyril Hnatovsky
  • , Stephen Mihailov
  • , David Carpenter
  • , Ming Jun Li
  • , Joshua Daw
  • , Kevin P. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fiber optic sensor inscribed in radiation-harden fibers can withstand high neutron flux in an operating nuclear reactor. Machine-learning algorithm using temporal convolutional networks was used to mitigate sensor drift and abnormal event prediction.

Original languageEnglish
Title of host publicationOptical Fiber Sensors, OFS 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Electronic)9781557523075
StatePublished - 2020
Event27th International Conference on Optical Fiber Sensors, OFS 2020 - Washington, United States
Duration: Jun 8 2020Jun 12 2020

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

Conference27th International Conference on Optical Fiber Sensors, OFS 2020
Country/TerritoryUnited States
CityWashington
Period06/8/2006/12/20

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