Development of Experimental Database for High Energy Arcing Faults (HEAF) in Electrical Equipment of Nuclear Power Plants

High energy arcing faults (HEAF) are becoming more common in aged electrical equipment as nuclear power plants age. The fire and potential damage caused by HEAF are often not considered in existing nuclear safety regulations, so further research is needed. The international joint study from the Nuclear Energy Agency (NEA) in the Organization for Economic Co-operation and Development (OECD) has been conducting the HEAF experiments to investigate HEAF phenomena for electrical systems in nuclear power plants. To support effective nuclear safety regulation, a comprehensive database is essential for systematically categorizing and organizing the complex and invaluable HEAF experimental data. Therefore, we analyzed the HEAF experimental reports to identify key attributes and proposed an effective framework for HEAF database. The HEAF Project Phase-2 report suggests that HEAF experimental data have unique characteristics that differ from typical data, highlighting the need for a specialized database. The proposed HEAF experimental database, implemented with Obsidian software, features a four-layer structure for independent data management and provides intuitive linkages among experimental data, enabling users to analyze and query HEAF results without deep database knowledge.

Authors

Publication Details

Journal
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
Published
2024-12-31
DOI
https://doi.org/10.5207/jieie.2024.38.6.474
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of Experimental Database for High Energy Arcing Faults (HEAF) in Electrical Equipment of Nuclear Power Plants

Hyeongjun Kim, Young-Seob Moon, Se‐Hee Lee
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
Risk and Safety Analysis
article

Development of Experimental Database for High Energy Arcing Faults (HEAF) in Electrical Equipment of Nuclear Power Plants

Hyeongjun Kim, Young-Seob Moon, Se‐Hee Lee
article en

Abstract

High energy arcing faults (HEAF) are becoming more common in aged electrical equipment as nuclear power plants age. The fire and potential damage caused by HEAF are often not considered in existing nuclear safety regulations, so further research is needed. The international joint study from the Nuclear Energy Agency (NEA) in the Organization for Economic Co-operation and Development (OECD) has been conducting the HEAF experiments to investigate HEAF phenomena for electrical systems in nuclear power plants. To support effective nuclear safety regulation, a comprehensive database is essential for systematically categorizing and organizing the complex and invaluable HEAF experimental data. Therefore, we analyzed the HEAF experimental reports to identify key attributes and proposed an effective framework for HEAF database. The HEAF Project Phase-2 report suggests that HEAF experimental data have unique characteristics that differ from typical data, highlighting the need for a specialized database. The proposed HEAF experimental database, implemented with Obsidian software, features a four-layer structure for independent data management and provides intuitive linkages among experimental data, enabling users to analyze and query HEAF results without deep database knowledge.

Journal of the Korean Institute of Illuminating and Electrical Installation EngineersVol. 38(6)
Affordable and clean energy
Openalex Percentile: Top 74%
Risk and Safety Analysis
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.

Development of Experimental Database for High Energy Arcing Faults (HEAF) in Electrical Equipment of Nuclear Power Plants — Hyeongjun Kim, Young-Seob Moon, et al. · Journal of the Korean Institute of Illuminating and Electrical Installation Engineers (2024) | TGRS Research Map | TGRS