Power transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the Algerian north-eastern: a comparative study

Power transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the Algerian north-eastern: a comparative study

Introduction. Nowadays, power transformer aging and failures are viewed with great attention in power transmission industry. Dissolved gas analysis (DGA) is classified among the biggest widely used methods used within the context of asset management policy to detect the incipient faults in their ear...

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Datum:2021
Hauptverfasser: Bouchaoui, L., Hemsas, K. E., Mellah, H., Benlahneche, S.
Format: Artikel
Sprache:English
Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2021
Schlagworte:
analysis of dissolved gases in oil
diagnostics of power transformers
feed-forward neural networks
Rogers method
IEC method
Online Zugang:http://eie.khpi.edu.ua/article/view/237786
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Назва журналу:Electrical Engineering & Electromechanics

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Electrical Engineering & Electromechanics

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http://eie.khpi.edu.ua/article/view/237786

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