Abstract
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.
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