2026-05-27T05:32:27Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/55652026-02-03T11:07:11Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Rodríguez, Alejandro
author
Merino, Emilio
author
Aguado-Sánchez, José Antonio
author
López, José Jesús
author
Martín, Francisco I.
author
Muñoz, Francisco J.
2013-06-28T08:23:55Z
2013-06-28T08:23:55Z
2013-06-28
http://hdl.handle.net/10630/5565
In this paper, it is presented an automated
classification based on S-transform as feature extraction tool and Decision Tree as algorithm classifier. The signals generated according to mathematical models, including complex disturbances, have been used to design and test this approach, where noise is added to the signals from 40dB to 20dB.
Finally, several disturbances, simple and complex, have been considered to test the implemented system. Evaluation results verifying the accuracy of the proposed method are presented.
eng
Árboles de decisión
A Decision Tree and S-Transform Based Approach for Power Quality Disturbances Classification
journal article
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URL
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PID2751529.pdf
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File
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PID2751529.pdf.txt