Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals

Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals

Transformers are vital elements in electrical networks, but they are prone to various faults throughout their service life. Among these, a winding short-circuit fault is of particular concern to researchers, as it is a crucial and vulnerable component of the transformers. Therefore, if this fault is...

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Bibliographic Details
Main Authors: David Granados-Lieberman, Jose R. Huerta-Rosales, Jose L. Gonzalez-Cordoba, Juan P. Amezquita-Sanchez, Martin Valtierra-Rodriguez, David Camarena-Martinez
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
fault detection
Fourier transform
short-circuited turns
transformer
vibration signal
wavelet denoising
Online Access:https://www.mdpi.com/2076-3417/13/22/12218

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