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Transformers Magazine, Vol. 9 No. SE2, 2022.

Original scientific paper

FRA winding type field cases and automatic classification using AI

Jean Sanchez
David Gopp

Full text: english pdf 1.591 Kb

page 54-64

downloads: 98

cite

Abstract

Artificial intelligence is a very powerful tool to bundle expert knowledge into algorithms. This helps in providing expert knowledge on demand. In the further course, the authors want to give some examples of how powerful AI in the analysis of SFRA curves and checking the quality and validity already is. Furthermore, a proposal for the sub-band separation is discussed, and some field cases are presented.

Keywords

artificial intelligence, gradient-boosting algorithm, machine learning, measurement quality, measurement validation, pattern recognition, power transformer, SFRA

Hrčak ID:

286640

URI

https://hrcak.srce.hr/286640

Publication date:

29.11.2022.

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