An optimization of experimental data processing for the MAT method application

Abstract

Magnetic adaptive testing (MAT) is a new method of magnetic non-destructive inspection of structural mechanical properties of magnetic construction materials. Principle of MAT consists in analysis of several magnetic properties I a wide range of input variables and to find the degeneration function with optimum correlation to inspected degeneration physical process. This involves processing of large amounts of experimental data. We present a new software tool for data processing based on application of various digital filters. A novel approach of statistical analysis and thresholding using masks was introduced to data analysis and thus qualitatively improving MAT optimisation process.