TRANSACTIONS OF THE KRYLOV STATE RESEARCH CENTRE

Science journal

 
ISSN (print) 2542-2324 /(online) 2618-8244


Articles of The Transactions of KSRC








Diagnostics of marine gas turbines based on their neuroinformational models



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

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ISSN (print) 2542-2324 / ISSN (online) 2618-8244

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