Fault Detection for Aircraft Piston Engine Using Self-Organizing Map (CROSBI ID 648282)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
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
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
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