Noncontact thermal mapping method based on local temperature data using deep neural network regression-Reference-Cited by-同舟云学术

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Noncontact thermal mapping method based on local temperature data using deep neural network regression

Published:2022-02 Issue: Volume:183 Page:122236
ISSN:0017-9310
Container-title:International Journal of Heat and Mass Transfer
language:en
Short-container-title:International Journal of Heat and Mass Transfer

Author:

Shin Sanghun,Ko Byeongjo,So Hongyun

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Reference50 articles.

1. A method of temperature monitoring in fluid film bearings;Glavatskih;Tribol. Int.,2004

2. A novel method for in-situ estimation of time constant for core temperature monitoring thermocouples of operating reactors;Sylvia;Nucl. Eng. Des.,2014

3. Fabrication and linearisation of conformable POMANI-Mn3O4 nanocomposite based thermistor for temperature monitoring applications in prosthetic gloves;Kumar;Sens. Actuators A Phys.,2019

4. Non-invasive measurement of effective thermal conductivity of human skin with a guard-heated thermistor probe;Okabe;Int. J. Heat Mass Transf.,2018

5. Evaluation of thin film p-type single crystal silicon for use as a CMOS resistance temperature detector (RTD);Mehmood;Sens. Actuators A Phys.,2018

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