Identification of Grain Oriented SiFe Steels Based on Imaging the Instantaneous Dynamics of Magnetic Barkhausen Noise Using Short-Time Fourier Transform and Deep Convolutional Neural Network

This paper presents a new approach to the extraction and analysis of information contained in magnetic Barkhausen noise (MBN) for evaluation of grain oriented (GO) electrical steels. The proposed methodology for MBN analysis is based on the combination of the Short-Time Fourier Transform for the obs...

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Detalles Bibliográficos
Autores principales: Maciusowicz, Michal, Psuj, Grzegorz, Kochmański, Paweł
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746057/
https://www.ncbi.nlm.nih.gov/pubmed/35009269
http://dx.doi.org/10.3390/ma15010118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746057/
https://www.ncbi.nlm.nih.gov/pubmed/35009269
http://dx.doi.org/10.3390/ma15010118

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