Rudder Servo-System Fault Diagnosis using Neural Network Fault Modeling (CROSBI ID 466758)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vukić, Zoran ; Pavleković, Dean ; Ožbolt, Henrieta
engleski
Rudder Servo-System Fault Diagnosis using Neural Network Fault Modeling
The model based fault detection and identification scheme for the rudder servo system as the actuator in the closed loop course keeping control system is presented. The nonlinear process model that enables description of wide class of fault types is given and the fault function as the residual for detecting and identifying the fault is introduced. Fault detection scheme with variable tresholds is suggested and its performance has been tested via simulation in the presence of modeling uncertainty and noise. Fault identification scheme based on comparison between fault function estimate and the output of predifined analytical fault model is suggested.
fault diagnosis; fault detection; rudder servo system; identification
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Podaci o prilogu
538-544-x.
1998.
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objavljeno
978-0-78035-045-8
Podaci o matičnoj publikaciji
Oceans '98 : Conference proceedings
Piscataway (NJ): Oceans '98 IEEE/OES Conference Organizing Committee
Podaci o skupu
Oceans '98 : IEEE/OES Conference
predavanje
28.09.1998-01.10.1998
Nica, Francuska