Work

Analysis of the State of High-Voltage Current Transformers Based on Gradient Boosting on Decision Trees

Year: 2020

Type: article

Source: IEEE Transactions on Power Delivery

DOI: 10.1109/tpwrd.2020.3021702

Authors: Alexandra I. Khalyasmaa, Mihail D. Senyuk, Stanislav A. Eroshenko

Institutions: Ural Federal University, Novosibirsk State Technical University

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

Funder: Russian Science Foundation

Award: G2807368992

OpenAlex ID: W3083445142

FWCI: 1.89

Cites: 28

Cited by: 43

Related to: 10