Application Of Configurable Diagnostic Models On IIR-filters And Laguerre Filters For Finding Parametric Defects In Continuous Dynamic Objects

Abstract

Algorithms for searching for single parametric defects in continuous dynamic objects based on configurable diagnostic models using Laguerre filters and IIR filters are considered. A normalized diagnostic sign for detecting defects in an object is proposed. In the considered algorithms, the gradient method is used to determine the parameters of the models. A comparative analysis of the effectiveness of these algorithms application is given. A methodology for quantitative evaluation of the quality of diagnostic models and the effectiveness of the use these diagnostic algorithms is proposed. To simulate and study the characteristics of the algorithms, the Scilab Xcos software package is used.