Application of machine learning methods for the classification of vibroacoustic signals measured at the moment of transformer energization with varying degrees of core and winding defect complexity.

Autor:	BORUCKI, Sebastian, SKUBIS, Jerzy, WOTZKA, Daria, ZMARZŁY, Dariusz
Předmět:	TRANSFORMER models VIBRATION measurements SIGNAL classification CLASSIFICATION
Zdroj:	Przegląd Elektrotechniczny; 2024, Vol. 2024 Issue 11, p237-241, 5p
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu