Controlling air temperature variations inside refrigeration cabines based on artificial neural network experiments

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Carlos C. António (Autor) FEUP; Clito F. Afonso (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings ICEM15 - 15th International Conference on Experimental Mechanics

ICEM15 - 15th International Conference on Experimental Mechanics

Porto, 22-27 July 2012

Indexação

ISI Proceedings

ISI Web of Knowledge - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-005-K2F

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: Livro de resumos: Symp_22 pp.1169-1170 (invited paper); CD-ROM: paper ref 3755 com 6 páginas

Nº de páginas: 6