Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/101858
Author(s): Carlos C. António
Clito F. Afonso
Title: Controlling air temperature variations inside refrigeration cabines based on artificial neural network experiments
Issue Date: 2012
Abstract: One problem associated with the loss-efficiency in refrigerators/freezers is the air infiltration. Therefore, knowledge of the air temperature field inside of these units is limited and large air temperature gradients often exist that can put the stored products at risk. This work studies temperatures in a commercial household refrigerator that were monitored with thermocouples located at several points. The measured temperatures were then used to build an Artificial Neural Network with supervised learning performed using a Genetic Algorithm. The aim is to obtain knowledge of the air temperature fields inside the refrigerated unit detecting in this way the anomalous variations due to inefficient isolation parts.
Subject: Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
URI: https://hdl.handle.net/10216/101858
Source: Proceedings ICEM15 - 15th International Conference on Experimental Mechanics
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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