Frost thickness estimation in a domestic refrigerator using acoustic signals and artificial intelligence-Reference-Cited by-同舟云学术

Frost thickness estimation in a domestic refrigerator using acoustic signals and artificial intelligence

Published:2022-09 Issue: Volume:201 Page:117071
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Andrade-Ambriz Yair A.^ORCID,Ledesma Sergio^ORCID,Belman-Flores J.M.^ORCID,Carvajal-Mariscal I.^ORCID,Almanza-Ojeda Dora-Luz^ORCID

Funder

Consejo Nacional de Ciencia y Tecnología

Universidad de Guanajuato

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference23 articles.

1. Review of defrosting methods;Amer;Renewable and Sustainable Energy Reviews,2017

2. Experimental investigation on defrosting of a cold flat plate via ultrasonic vibration under natural convection;Amer;Applied Thermal Engineering,2020

3. Manual de Acústica Ambiental Y Arquitectónica;Avilés-Lopez,2017

4. Predicting the energy performance of a reciprocating compressor using artificial neural networks and probabilistic neural networks;Barroso-Maldonado;Revista Mexicana de Ingeniería Química,2017

5. Enhancements in domestic refrigeration, approaching a sustainable refrigerator – A review;Belman-Flores;Renewable and Sustainable Energy Reviews,2015

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