DETECTAREA DEFECTELOR TRANSFORMATOARELOR DE PUTERE FOLOSIND DGA BAZATĂ PE PENTAGONUL DUVAL COMBINAT ȘI CLASIFICATORI ANN
DOI:
https://doi.org/10.36801/k60kcd06Cuvinte cheie:
Analiza Gazelor Dizolvate (DGA), DiagnosticareRezumat
Pornind de la necesitatea reducerii timpului de analiză și detectare a stărilor de defect a transformatoarelor de putere, în acest articol se prezintă realizarea unei aplicații software caracteristică acestui subiect, bazată pe clasificatori de tip Artificial Neural Networks (ANN), în care metoda teoretică de analiză este de tip Duval Combined Pentagons (DCP). Aplicația software se bazează pe algoritmi implementați în Classification Learner from the Matlab Statistics și Machine Learning toolbox. Optimizarea acurateței clasificatorilor este realizată cu ajutorul Bayesian search, Grid search, and Random search. Validarea aplicației software dezvoltată a fost realizată prin mai multe studii de caz, dintre care s-au prezentat două cazuri comparativ cu lucrările de mentenanță realizate.
Referințe
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