Machine Learning in Gas Turbines
Author(s) -
Vittorio Michelassi,
Carmine Allegorico,
Stefano Cioncolini,
Antonino Graziano,
Leonardo Tognarelli,
Marzia Sepe
Publication year - 2018
Publication title -
mechanical engineering
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.117
H-Index - 17
eISSN - 1943-5649
pISSN - 0025-6501
DOI - 10.1115/1.2018-sep5
Subject(s) - gas turbines , selection (genetic algorithm) , simple (philosophy) , machine design , mechanical engineering , engineering , manufacturing engineering , computer science , process engineering , artificial intelligence , engineering drawing , automotive engineering , philosophy , epistemology
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).
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