Real-time marine Diesel engine simulation for fault diagnostics

Real-time marine Diesel engine simulation for fault diagnostics

Equipe Energétique des Moteurs à Combustion Interne
Laboratoire de Mécanique des Fluides – UMR CNRS 6598
Real-time marine Diesel engine simulation for fault diagnostics
Kevin Logan, Bahadir Inozu, Philippe Roy, Jean-François Hétet, Pascal Chessé, Xavier
Tauzia
Journal of Marine Technology
The Society of Naval Architects and Marine Engineers
Automated monitoring systems are now the standard on most large vessels, however,
few are equipped with diagnostic systems. This paper presents new developments in the area
of fault diagnosis based on intelligent software agents. The research objective was to design
an agent capable of continuous real-time machine learning by using an artificial neural
network known as the cerebellar model articulation controller (CMAC). An engine simulator
that can model both normal and faulty engine operations was used to develop the learning
system controller in a flexible and cost-efficient manner. This paper provides a description of
the selected CMAC, a brief overview of the real-time engine simulator and its integration
with the learning system as well as a few results.
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