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Fault Detection for Aircraft Piston Engine Using Self-Organizing Map (CROSBI ID 648282)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Miljković, Dubravko Fault Detection for Aircraft Piston Engine Using Self-Organizing Map // MIPRO 2017 - CTS (conference CD) / Petar Biljanović (ur.). Rijeka, 2017. str. 1258-1263

Podaci o odgovornosti

Miljković, Dubravko

engleski

Fault Detection for Aircraft Piston Engine Using Self-Organizing Map

Aircraft piston engine can be monitored using an advanced graphic engine monitor. Such engine monitor can supply a large amount of data containing evolution of engine parameters through the time. Analysis of a vast amount of multidimensional temporal data by a self- organizing map may aid in data visualization, but also in detection of engine parameter deviations from normality indicating potential problems in operation of aircraft piston engine. For determination of engine parameter space that corresponds to normal engine operation quantization error of the self- organizing map is used.

aircraft, piston engine, engine monitor, fault detection, self-organizing map

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Podaci o prilogu

1258-1263.

2017.

objavljeno

Podaci o matičnoj publikaciji

MIPRO 2017 - CTS (conference CD)

Petar Biljanović

Rijeka:

978-953-233-093-9

Podaci o skupu

MIPRO 2017

predavanje

22.05.2017-26.05.2017

Opatija, Hrvatska

Povezanost rada

Elektrotehnika, Računarstvo, Tehnologija prometa i transport