Enhancing the Efficiency of Failure Recognition in Induction Machines through the Application of Deep Neural Networks

Enhancing the Efficiency of Failure Recognition in Induction Machines through the Application of Deep Neural Networks

The objective of the investigation was to increase the effectiveness of damage detection in the stator of the squirrel-cage induction machine. The analysis aimed to enhance the operational trustworthiness of the squirrel-cage induction machine by employing nonintrusive diagnostic methods based on a...

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Bibliographic Details
Main Authors:	Wojciech Pietrowski, Konrad Górny
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Energies
Subjects:	induction machine finite-element method analysis of a current waveform deep neural network noninvasive diagnostics multiphase interturn short circuits
Online Access:	https://www.mdpi.com/1996-1073/17/2/476

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