Self-Organizing Map Improved for Classification of Partial Discharge using Desirability Function

Authors

  • Rubén Jaramillo-Vacio Comisión Federal de Electricidad-Laboratorio de Pruebas a Equipos y Materiales (LAPEM)
  • Alberto Ochoa-Zezzatti Universidad Autónoma de Ciudad Juárez
  • Fernando Figueroa-Godoy Instituto Tecnológico Superior de Irapuato

Keywords:

Self-Organzing Maps, Partial Discharge

Abstract

This paper presents an analysis for Self Organizing Map (SOM) using Response Surface Methodology (RSM) and Desirability Function to find the optimal parameters to improve performance. This comparative explores the relationship between explanatory variables (numerical and categorical) such a competitive algorithm and learning rate and response variables as training time and quality metrics for SOM. Response surface plots were used to determine the interaction effects of main factors and optimum conditions to the performance in classification of partial discharge (PD).

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Published

2015-11-15

How to Cite

Jaramillo-Vacio, R., Ochoa-Zezzatti, A., & Figueroa-Godoy, F. (2015). Self-Organizing Map Improved for Classification of Partial Discharge using Desirability Function. International Journal of Combinatorial Optimization Problems and Informatics, 6(3), 49–65. Retrieved from https://ijcopi.org/ojs/article/view/51

Issue

Vol. 6 No. 3 (2015)

Section

Articles