Hydraulic systems are widely used as power source for several different applications. Servovalves are critical components and often subjected to failures. Estimating degradations from these components requires dynamic analysis of their behavior and consequently advanced monitoring techniques. This article proposes an online monitoring method to estimate a degradation parameter of the servovalve using an interactive multiple-model technique considering a bank of Extended Kalman Filters that models not only the valve itself but also the degradation trend. A single failure mode was considered related to the nozzle line clogging. The degradation estimates and the likelihood of the correctness of each model were analyzed in order to evaluate the proposed method.
How to Cite
Borello, L., Vedova, M. D., Jacazio, G. & Sorli, M. (2009) A Prognostic Model for Electrohydraulic Servovalves. Proceedings of the Annual Conference of the Prognostics and Health Management Society, September 27 – October 1, San Diego.
Mussi, E. T., Góes, L. C. S. (2009) The Study of an Electrohydraulic Servovalve for Fault Detection and Isolation Purposes. Proceedings of COBEM 20th International Congress of Mechanical Engineering November 15-20, 2009, Gramado, RS, Brazil.
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