Metamodels of a gas turbine powered marine propulsion system for simulation and diagnostic purposes

Metamodels of a gas turbine powered marine propulsion system for simulation and diagnostic purposes

Gas turbine

monitoring

diagnostics

artificial neural networks

simulation

ship propulsion

The paper presents the application of artificial neural network for simulation and diagnostic purposes applied to a gas turbine powered marine propulsion plant. A simulation code for the propulsion system, developed by the authors, has been extended to take into account components degradation or malfunctioning with the addition of performance reduction coefficients. The above coefficients become input variables to the analysis method and define the system status at a given operating point. The simulator is used to generate databases needed to perform a variable selection analysis and to tune response surfaces for both direct (simulation) and inverse (diagnostic) purposes. The application of the methodology to the propulsion system of an existing frigate version demonstrate the potential of the approach.

Campora, U.

Capelli, M.

Cravero, C.

Zaccone, R.

Journal of Naval Architecture and Marine Engineering; Vol. 12 No. 1 (2015); 1-14

2070-8998

1813-8535

Association of Naval Architects and Marine Engineers

2015-06-30

Copyright (c) 2015 Journal of Naval Architecture and Marine Engineering

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion