Comparison of various regression models for predicting compressor and turbine performance parameters

Isil Yazar, Hasan Serhan Yavuz and Arzu Altin Yavuz

Energy, 2017, vol. 140, issue P2, 1398-1406

Abstract: This paper investigates various regression models to predict the compressor and turbine map parameters. To this end, we used the data measured from two different types of compressors and turbines. The compressor is basically a single stage radial machine, whereas, the turbine is formed of high pressure and low pressure parts. The emphasis of this study is to construct various models for prediction of corrected mass flow rate and isentropic efficiency. Except for prediction capabilities, the study also compares the regression model’s performances. Results show that the designed models can be used for the development of dynamic mathematical model of a gas turbine engine.

Keywords: Performance map prediction; Regression models; ANFIS; Model selection; AIC value (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544217308174
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:140:y:2017:i:p2:p:1398-1406

DOI: 10.1016/j.energy.2017.05.061

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().