Development of fault diagnosis for nuclear power plant using deep learning and infrared sensor equipped UAV-Reference-Cited by-同舟云学术

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Development of fault diagnosis for nuclear power plant using deep learning and infrared sensor equipped UAV

Published:2023-02 Issue: Volume:181 Page:109577
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Jae Jin Ik,Yeong Lim Do,Cheol Bang In

Funder

National Research Foundation of Korea

Ulsan National Institute of Science and Technology

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference23 articles.

1. Understanding of a convolutional neural network;Albawi,2017

2. Infrared thermography for condition monitoring – A review;Bagavathiappan;Infrared Phys. Technol.,2013

3. Sigmoid-weighted linear units for neural network function approximation in reinforcement learning;Elfwing;Neural Networks,2018

4. Scaling laws for thermal-hydraulic system under single phase and two-phase natural circulation;Ishii;Nucl. Eng. Des.,1984

5. Fault detection in power equipment via an unmanned aerial system using multi modal data;Jalil;Sensors,2019

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