BASIC MATHEMATICAL PRINCIPLES OF THE DIAGNOSTIC METHOD BASED ON THE SPECTRAL ANALYSIS OF THE ASYNCHRONOUS MOTOR STATOR CURRENT

Abstract

This article analyzes the main methods of diagnosing asynchronous electric machines and explains the importance of these diagnostic methods. In addition, the main achievements of the diagnostic method based on the spectral analysis of the stator current using current modern technologies are described in detail. In this article, the problems of the signal processing techniques used for the diagnosis of the electric machine operating under variable time conditions are firstly analyzed: the limits of the Fourier series, the use of multiple frequency bands to monitor a single fault component. The main concept that should be emphasized in the implementation of spectral analysis is their distribution along the Fourier series, the characteristics of the mathematical model of spectrum analysis through this method directly depend on the components of the current. One of the most modern methods of analysis of Fourier series is the technique created by Denis Gabor, by means of which it is possible to calculate Fourier series with the least relative errors. The results obtained through the conclusions and concepts arising from the above are presented in this article.