Articles of The Transactions of KSRC

Full text article (in russian)

Year	2016
Issue	376
Volume	2
Pages	183–194
Caption	Diagnostics of marine gas turbines based on their neuroinformational models
Authors	A. Pankratov, A. Lapidus, S. Korotkov
Keywords	gas turbine, diagnostics, neuroinformational model, neuro-network method
Summary	The paper discusses the issues related to efficient diagnostics of marine power plants based on thermal gas dynamics parameters. This task is suggested to be addressed by construction and analysis of a neuroinformational model of the object under study. A self- organizing layered artificial neuro-network is chosen as the neuroinformational model. The feasibility of this procedure is confirmed by the results obtained by conventional methods of diagnostics and fault detection for gas turbines.
Rubrics	Ship powering and electric systems