Evaluation of transformer core and winding conditions from SFRA measurement results using statistical techniques for distribution transformers

• Main Authors: Ab Ghani S., Thayoob Y.H.Md., Ghazali Y.Z.Y., Khiar M.S.A., Chairul I.S.
• Other Authors: 56504019900
• Format: Conference paper
• Published: 2023
• Subjects: Correlation Coefficient; FRA; Standard Deviation; Statistics; Transformer; Electric transformers; Optimization; Stresses; Active parts; Cable fault; Core and windings; Correlation coefficient; Cross-correlation coefficient; Distribution transformer; Electrical problems; Electrical stress; Graphical comparison; High frequency; In-field; In-line; Lightning strikes; Malaysia; Measurement results; Standard deviation; Statistical techniques; Transformer core; Winding

Distribution transformers in TNB (Tenaga Nasional Berhad) Malaysia are exposed to thermal and electrical stresses. Those stresses are effecting the main mechanical active parts in transformer such as core and winding. In field, lightning strikes and cable faults may cause problem due to transformer core and winding. SFRA diagnosis is made based on the comparison between two SFRA responses and any significant difference in low, middle and high frequency sub-bands region would potentially indicate mechanical or electrical problem due to core and winding of transformer. Instead of using graphical comparison, statistical techniques such as Cross-correlation Coefficient Function (CCF), Standard Deviation (SD) and Absolute Sum of Logarithmic Error (ASLE) can be used to interpret the SFRA results in a proper way. The aim of this paper is to evaluate the condition of TNB distribution transformer by using SFRA method in line with the interpretation from the statistical techniques. � 2012 IEEE.