Thermocouple Signal Conditioning Using Augmented Device Tables and Table Look-Up Neural Networks, with Validation in J-Thermocouples-Reference-Cited by-同舟云学术

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Thermocouple Signal Conditioning Using Augmented Device Tables and Table Look-Up Neural Networks, with Validation in J-Thermocouples

Published:2022-01-25 Issue: Volume: Page:
ISSN:
Container-title:2022 30th Southern African Universities Power Engineering Conference (SAUPEC)
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Author:

Maseko Moses L.¹,Agee John T.¹,Davidson Innocent²

Affiliation:

1. University of Kwa-Zulu Natal,Department of Electrical, Electronic & Computer Engineering,Durban,South Africa

2. Durban University of Technology,Department of Electrical & Electronic Engineering,Durban,South Africa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730108/9730623/09730718.pdf?arnumber=9730718

Reference17 articles.

1. A measurement system exploiting non-linearity of thermocouples for cold junction compensation

2. Feedforward neural-network conditioning of type-B thermocouple with variable reference-junction temperature

3. ITS-90 Thermocouple Database, Web Version 2. 0;Srdata nist gov,2017

4. Multi-Objective Optimization Methods Based on Artificial Neural Networks

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