Development of a committee of Artificial Neural Networks for the Perfomance Testing of Compressors for Thermal Machines in Very Reduced Times

 

CORAL, Rodrigo; FLESCH, Carlos Alberto; PENZ, Cesar Alberto; BORGES, Maikon Ronsani.

PUBLICADO EM Metrology and Measurement Systems, Volume XXII,  Pan Polska Akademia Nauk. 2015. pp. 179-88.  

https://doi.org/10.1007/s11340-015-0079-0

​

​

Resumo

This paper presents a new test method able to infer – in periods of less than 7 seconds – the refrigeration capacity of a compressor used in thermal machines, which represents a time reduction of approximately 99.95% related to the standardized traditional methods. The method was developed aiming at its application on compressor manufacture lines and on 100% of the units produced. Artificial neural networks (ANNs) were used to establish a model able to infer the refrigeration capacity based on the data collected directly on the production line. The proposed method does not make use of refrigeration systems and also does not require using the compressor oil. Keywords: refrigeration compressor, artificial neural networks, performance test.