Evaluating Fault Detection Techniques in Real Electrical Transformers: A Comparative Case of Study

Authors

  • Santiago Guzman-Arteaga Facultad de Ingenierías, Instituto Tecnológico Metropolitano, Campus Robledo, Medellín 050036, Colombia
  • Santiago Gómez-Arango Facultad de Ingenierías, Instituto Tecnológico Metropolitano, Campus Robledo, Medellín 050036, Colombia
  • Daniel Sanin-Villa Universidad EAFIT, Medellín, 050022, Colombia
  • María del Pilar Buitrago-Villada Universidad Nacional de Colombia, Manizales, 17001, Colombia

DOI:

https://doi.org/10.19139/soic-2310-5070-2446

Keywords:

Electrical transformers, Fault detection, Voltage and current monitoring, Diagnostic techniques

Abstract

Transformers are integral to the reliability of electrical networks, necessitating robust diagnostic methods for fault detection. This study conducts a comparative evaluation of three fault detection techniques using real-world data from distribution transformers. The methods analyzed include differential current analysis, correlation-based techniques, and flux linkage increments. Results demonstrate that differential current analysis exhibits the highest sensitivity (93.33\%), detecting faults at 4.41\% of the short-circuit current. Correlation-based methods follow with 86.67\% sensitivity, while flux linkage increments offer lower sensitivity but robust performance at high current levels. This comparative analysis provides actionable insights for enhancing transformer reliability through effective monitoring strategies.

Downloads

Published

2025-06-12

Issue

Vol. 14 No. 1 (2025)

Section

Research Articles

License

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

How to Cite

Evaluating Fault Detection Techniques in Real Electrical Transformers: A Comparative Case of Study. (2025). Statistics, Optimization & Information Computing, 14(1), 352-372. https://doi.org/10.19139/soic-2310-5070-2446

Most read articles by the same author(s)