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Assessing the quality of Experimental Data with Gaussian Processes: Example with an Injection Scroll Compressor
Quoilin, Sylvain; Schrouff, Jessica
2014In Proceedings of the 2014 Purdue Conferences
Peer reviewed
 

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Abstract :
[en] This paper describes an experimental study carried out on a refrigeration scroll compressor with and without vapour injection. The test rig designed for that purposed allows evaluating the performance over a wide range of operating conditions, by varying the supply pressure, the injection pressure, the discharge pressure, the supply superheating and the injection superheating. 97 Steady-state points are measured, with a maximum isentropic efficiency of 64.1% and a maximum consumed electrical power of 13.1 kW. A critical analysis of the experimental results is then carried out to evaluate the quality of the data using a machine learning method. This method based on Gaussian Processes regression, is used to build a statistical operating map of the compressor as a function of the different inputs. This statistical operating map can then be compared to the experimental data points to evaluate their accuracy.
Disciplines :
Energy
Computer science
Author, co-author :
Quoilin, Sylvain  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Systèmes énergétiques
Schrouff, Jessica ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Assessing the quality of Experimental Data with Gaussian Processes: Example with an Injection Scroll Compressor
Publication date :
2014
Event name :
2014 Purdue Conferences: Compressor Engineering, Refrigeration and Air-Conditioning
Event date :
July 14-17, 2014
Audience :
International
Main work title :
Proceedings of the 2014 Purdue Conferences
Peer reviewed :
Peer reviewed
Available on ORBi :
since 29 August 2014

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