Pregled bibliografske jedinice broj: 118436
SENSOR FAULTS DIAGNOSIS IN MARINE DIESEL PROPULSION PLANT BASED ON ESTIMATION
SENSOR FAULTS DIAGNOSIS IN MARINE DIESEL PROPULSION PLANT BASED ON ESTIMATION // International Carpathian Control Conference,
Košice, Slovačka, 2003. str. 44-48 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 118436 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
SENSOR FAULTS DIAGNOSIS IN MARINE DIESEL PROPULSION PLANT BASED ON ESTIMATION
Autori
Antonic, Radovan ; Vukic, Zoran ; Dvornik, Josko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
International Carpathian Control Conference,
/ - , 2003, 44-48
Skup
ICCC'03, International Carpathian Control Conference
Mjesto i datum
Košice, Slovačka, 26.05.2003. - 29.05.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
marine diesel propulsion plant; sensor fault; estimation; fault detection and identification; Kalman filtering
Sažetak
Diesel propulsion plant for large ships is very complex, high risk process with strong demands on its reliability and availability. The most important information and data about plant dynamic behaviours during normal and faulty operation needed for diagnostic and control system are collecting from sensors, so their fail-operational feature is of very importance to overall plant reliability. An effective scheme in sensor faults detection and identification within marine diesel propulsion plant using on-line estimation method is given in the paper. The noise in sensor signals is taken into consideration. Simulation example of diesel engine speed sensor fault detection method based on measured and estimated signal values is presented. The Kalman filtering is used. Simulation results have shown good effectiveness of proposed scheme in engine speed sensor faults detection.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport, Informacijske i komunikacijske znanosti
POVEZANOST RADA