This paper describes a selection of Baker Hughes, a GE company (BHGE) activities to support Gas Turbine (GT) design and operation from simple to more elaborate applications of Machine Learning (ML).
Issue Section:
Select Articles
References
1.
Sandberg
, et al. 2018
Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot.
ASME Turbo Expo. Lillestrøm, Norway: ASME.
2.
Allegorico
C.
,Mantini
V.
,2014
, A data-driven approach for on-line gas turbine combustion monitoring using classification models. European Conference of the Prognostics and Health Management Society
July 8-10, Nantes, France.
.Copyright © 2018 by ASME
You do not currently have access to this content.
