Model-Based Fault Detection for Hydraulic Servoproportional Valves

José Roberto Branco Ramos Filho
Institute of Engineering and Geosciences, Universidade Federal do Oeste do Pará, Santaråm, Pará, Brazil

Victor Juliano De Negri
LASHIP, Mechanical Engineering Department, Federal University of Santa Catarina, Florianópolis, SC, Brazil

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp1392a38

Ingår i: 13th Scandinavian International Conference on Fluid Power; June 3-5; 2013; Linköping; Sweden

Linköping Electronic Conference Proceedings 92:38, s. 389-398

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Publicerad: 2013-09-09

ISBN: 978-91-7519-572-8

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


This paper presents a mathematical model for online fault detection on single solenoid servoproportional spool valves. The most common failures as well as its effects on the valve behavior are studied and took into account for the model representation. Servoproportional valves are used in industry; aerospace; and military fields. Some of these uses are critical-mission; where the valve must not fail without previous warning to prevent or mitigate financial losses; equipment damage; and risk to personnel. Even in less demanding applications; it is very useful to be able to quickly locate a failure in the hydraulic circuit; which is a task that may demand up to 80% of the time used in corrective maintenance. Total failure can readily be detected using the signals available on the valve electronics. However; since the spool positioning is on closed loop on these valves; incipient failures that can be overcome by the controllers cannot be easily detected. In this paper; an experimentally validated analytical model is used as a reference model such that the solenoid actual current can be compared with the theoretical current. Since that the valve hysteresis and pressure drop are considered; the model calculates maximum and minimum current values that correspond to an undamaged valve. Experimental results with a standard valve and a damaged valve show the effectiveness of the model for fault detection.


Hydraulics; proportional valves; fault detection.


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