Anil Gurgen

College of Engineering

2022 journal article

Development and assessment of a reactor system prognosis model with physics-guided machine learning

NUCLEAR ENGINEERING AND DESIGN, 398.

By: A. Gurgen n & N. Dinh n

author keywords: Nuclear power plant; Autonomous control; Prognosis; Physics-guided machine learning
Sources: Web Of Science, NC State University Libraries
Added: October 31, 2022

2022 journal article

Development and assessment of prognosis digital twin in a NAMAC system

ANNALS OF NUCLEAR ENERGY, 179.

By: L. Lin*, A. Gurgen n & N. Dinh n

author keywords: Digital twin; Prognosis; Machine learning; Autonomous control
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: October 11, 2022

2021 journal article

Estimation of sensor measurement errors in reactor coolant systems using multi-sensor fusion

NUCLEAR ENGINEERING AND DESIGN, 375.

author keywords: Nuclear power plant; Primary coolant system; Sensor Drift; Senor errors; Machine learning; Multiple sensor fusion
TL;DR: This work addresses a problem of estimating sensor errors using physics-informed machine learning methods that use measurements collected under known plant conditions by proposing an information fusion method that uses measurements from other sensors to estimate its output assuming it is error-free and provides its difference from an actual measurement as an error estimate. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: May 10, 2021

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