A fuzzy classification solution for fault diagnosis of valve actuators

Abstract

This paper proposes a fuzzy classification solution for fault diagnosis of valve actuators. The belongingness of the current state of the system to the normal and/or a faulty state is described with the help of fuzzy sets. The theoretical aspects of the classifier are presented. Then, the case study - the DAMADICS benchmark flow control valve, is shortly introduced and also the method used to generate the data for designing and testing the classifier. Finally, the simulation results are discussed.