THE ROLE OF ARTIFICIAL INTELLIGENCE IN MANAGING THE SAFETY AND EFFICIENCY OF NUCLEAR POWER

The author analyzes the key areas of application of artificial intelligence technologies in the energy sector. The main priorities for the application of modern technologies in energy supply systems were highlighted. We have also AI assistance with errors caused by human factors was studied. Separately, the possible use of artificial intelligence was considered application of artificial intelligence to assess the technical condition of a power transformer based on AI. The development of an AI-based serviceability index (SI) model is presented. The proposed method is aimed at simplifying, accelerating, and reducing errors. In the proposed approach, artificial intelligence evaluates the insulation system of power transformers based on oil quality, chromatographic dissolved gas analysis (DGA), and the condition of the paper insulation. The report also highlighted the challenges that complicating the rapid implementation of artificial intelligence.

Authors

Publication Details

Published
2024-11-21
DOI
https://doi.org/10.31649/mccs2024.4-11
Primary Topic
Industrial Engineering and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN MANAGING THE SAFETY AND EFFICIENCY OF NUCLEAR POWER

Viktor Zakharchenko, Volodymyr Netrebskyi, Yaroslav Taraniuk, Sergii Shevchuk
Industrial Engineering and Technologies
article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN MANAGING THE SAFETY AND EFFICIENCY OF NUCLEAR POWER

Viktor Zakharchenko, Volodymyr Netrebskyi, Yaroslav Taraniuk, Sergii Shevchuk
article en

Abstract

The author analyzes the key areas of application of artificial intelligence technologies in the energy sector. The main priorities for the application of modern technologies in energy supply systems were highlighted. We have also AI assistance with errors caused by human factors was studied. Separately, the possible use of artificial intelligence was considered application of artificial intelligence to assess the technical condition of a power transformer based on AI. The development of an AI-based serviceability index (SI) model is presented. The proposed method is aimed at simplifying, accelerating, and reducing errors. In the proposed approach, artificial intelligence evaluates the insulation system of power transformers based on oil quality, chromatographic dissolved gas analysis (DGA), and the condition of the paper insulation. The report also highlighted the challenges that complicating the rapid implementation of artificial intelligence.

Affordable and clean energy
Openalex Percentile: Top 75%
Industrial Engineering and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

THE ROLE OF ARTIFICIAL INTELLIGENCE IN MANAGING THE SAFETY AND EFFICIENCY OF NUCLEAR POWER — Viktor Zakharchenko, Volodymyr Netrebskyi, et al. · (2024) | TGRS Research Map | TGRS