Summary

Ensuring the reliability of distribution transformers is critical for uninterrupted power system performance. This study explores the application of Sweep Frequency Response Analysis

(SFRA), a non-invasive technique for detecting internal mechanical and electrical faults. A twin-comparison approach—using healthy transformers of identical design as references—was introduced to address the common challenge of missing historical SFRA data in older units.

Six 250 kVA transformers from two manufacturers (LTL and ATS) were tested. Two served as healthy references, while four exhibited known defects such as core displacement and winding deformation. Frequency-domain analysis revealed that core issues primarily affected low frequency responses, whereas winding faults altered mid- and high-frequency behavior. These electrical signatures aligned closely with physical inspection results.

The findings validate twin-based SFRA comparison as a practical and accurate diagnostic method. It improves fault detection, reduces downtime, and supports predictive maintenance.

Establishing reference libraries of twin units is recommended to standardize diagnostics across transformer fleets.

Additional informations

Publication type Session Materials
Reference A2_11897_2026
Publication year
Publisher CIGRE
Country Jordan, Hashemite Kingdom of
Study committees
File size 2 MB
Price for non member 30 €
Price for member 30 €

Authors

ABWAINI Rafed; ALMOMANI Mohammad; SHTAYAT Ekhlas

A Diagnostic Approach Using SFRA: Comparative Analysis of Twin Distribution Transformers