Fault diagnosis of a hydraulic actuator using neural network (CROSBI ID 523334)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Linarić, Davor ; Koroman, Vladimir
engleski
Fault diagnosis of a hydraulic actuator using neural network
This paper presents the failure analysis and fault simulation of the electro-hydraulic servo (EHS) system for the positioning of the control valves. An idea for the realisation of a fault diagnosis system is given, and one of the possible faults occurring in the electro hydraulic system is considered in detail. On the basis of the detailed mathematical model of the entire electro hydraulic system, model-based fault detection and isolation algorithm for the considered case is presented. The method of non-linear system identification using neural network models is applied for fault modelling. The algorithm has been demonstrated by simulation using the signals measured in the cases of occasional failure occurrence in that part of the system.
fault diagnosis; hydraulic actuator; neural network
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Podaci o prilogu
108-111.
2003.
objavljeno
Podaci o matičnoj publikaciji
Conference Proceedings of the IEEE International Conference on Industrial Technology (CIT 2003) : 4th International Conference on Industrial Tools
Kuzman, Karl
Celje: TECOS Slovenian Tool and Die Development Centre
961-90401-7-1
Podaci o skupu
IEEE International Conference on Industrial Technology : International Conference on Industrial Tools (4 ; 2003)
poster
10.12.2003-12.12.2003
Celje, Slovenija; Bled, Slovenija