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Rudder Servo-System Fault Diagnosis using Neural Network Fault Modeling (CROSBI ID 466758)

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

Vukić, Zoran ; Pavleković, Dean ; Ožbolt, Henrieta Rudder Servo-System Fault Diagnosis using Neural Network Fault Modeling // Oceans '98 : Conference proceedings. Piscataway (NJ): Oceans '98 IEEE/OES Conference Organizing Committee, 1998. str. 538-544-x

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

Povezanost rada

Elektrotehnika