Application Of Customized Models On Laguerre Filters To Search For Parametric Defects In Continuous Automatic Control Systems

The paper considers an algorithm that uses customizable diagnostic models based on Laguerre filters with only a recursive part to search for parametric defects in continuous automatic control systems. A comparison is made of two approaches to setting up models: joint and individual, in relation to the choice of model parameters for each control point in the object of diagnosis. Numerical experiments were carried out to tune diagnostic models, select vector sets of reference defective technical conditions of the object being diagnosed, and diagnose the introduced defects by calculating the distinguishability by diagnostic features. The accuracy of the algorithm as a whole and the effectiveness of tuning approaches for various diagnostic objects are estimated. All numerical experiments and simulations were carried out in a software package developed in the Scilab/Xcos environment.