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

Table of contents

Full text

Editorial messages (page 8-13)

Mladen Banovic
Editorial

Artificial intelligence challenges for power transformer maintenance (page 30-41)

Marius Grisaru
Original scientific paper

AI – someone needs to know what’s going on! (page 42-46)

Philip Boreham, Tony McGrail, Imene Mitiche
Original scientific paper

FRA winding type field cases and automatic classification using AI (page 54-64)

Jean Sanchez, David Gopp
Original scientific paper

Prognostics and health management oriented data analytics suite for transformer health monitoring (page 66-75)

Jose I. Aizpurua, Brian G. Stewart, Stephen D. J. McArthur
Original scientific paper

Advanced online electrical testing in real time aided by electromagnetic signature analysis (EMSA) and artificial intelligence (AI) technology (page 78-85)

Richard K. Ladroga
Original scientific paper

Artificial intelligence and machine learning in the era of digital transformer monitoring: Exciting developments at Hitachi Energy (page 86-93)

Luiz Cheim, Mauricio Soto, Tucker Reed
Original scientific paper

Revolutionizing electric utilities with AI (page 94-99)

Saqib Saeed, Asad Tariq
Original scientific paper

New methodologies in transformer market investigation (page 100-111)

Euan Blauvelt, Martin Carlen
Original scientific paper

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