The Influence of the Window Width on FRA Assessment with Numerical Indices

Abstract

Frequency response analysis is a method used in transformer diagnostics for the detection of mechanical faults or short-circuits in windings. The interpretation of test results is often performed with the application of numerical indices. However, usually these indices are used for the whole frequency range of the recorded data, returning a single number. Such an approach is inaccurate and may lead to mistakes in the interpretation. An alternative quality assessment is based on the estimation of the local values of the quality index with the moving window method. In this paper, the authors analyse the influence of the width of the input data window for four numerical indices. The analysis is based on the data measured on the transformer with deformations introduced into the winding and also for a 10 MVA transformer measured under industrial conditions. For the first unit the analysis is performed for various window widths and for various extents of the deformation, while in the case of the second the real differences between the frequency response curves are being analysed. On the basis of the results it was found that the choice of the data window width significantly influences the quality of the analysis results and the rules for elements number selection differ for various numerical indices.

High Voltage Insulating Materials—Current State and Prospects

“…The studies related to the transformer diagnostics continued in [12], where frequency response analysis (FRA) was considered as the method for the detection of mechanical faults or short-circuits in transformer windings. The transformer with deformations introduced into the winding was compared with a 10 MVA transformer working at industrial conditions.…”