Work

Determination of the Condition of Solid Insulation in High-Power Transformers Based on 2-Furfuraldehyde and Methanol Markers Using Neural Networks

Year: 2021

Type: conference-paper

Source: International Conference on Electromechanical and Energy Systems (SIELMEN)

DOI: 10.1109/sielmen53755.2021.9600415

Authors: Ancuta-Mihaela Aciu, Maria Cristina Nitu, Marcel Nicola, Claudiu-Ionel Nicola

Institution: ICMET Craiova

Language: English

Topic: Power Transformer Diagnostics and Insulation

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W3215728720

FWCI: 1.542

Cites: 12

Cited by: 6

Related to: 10