Application of Selected Machine Learning Techniques for Identification of Basic Classes of Partial Discharges Occurring in Paper-Oil Insulation Measured by Acoustic Emission Technique

Application of Selected Machine Learning Techniques for Identification of Basic Classes of Partial Discharges Occurring in Paper-Oil Insulation Measured by Acoustic Emission Technique

The paper reports the results of a comparative assessment concerned with the effectiveness of identifying the basic forms of partial discharges (PD) measured by the acoustic emission technique (AE), carried out by application of selected machine learning methods. As part of the re-search, the identi...

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Hlavní autoři: Tomasz Boczar, Sebastian Borucki, Daniel Jancarczyk, Marcin Bernas, Pawel Kurtasz
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-07-01
Edice:Energies
Témata:
partial discharges
acoustic emission method
machine learning methods
identification
recognition
On-line přístup:https://www.mdpi.com/1996-1073/15/14/5013

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https://www.mdpi.com/1996-1073/15/14/5013

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