A Study on the Development of a Reliability-Based Health Index for Power Equipment Condition Assessment

This study presents a methodology for optimizing asset management of power equipment by quantitatively evaluating their condition. The approach enables the development of effective maintenance strategies, ensuring both operational reliability and economic efficiency. Existing frameworks like the UK's CNAIM provide a robust model for power equipment assessment but are limited in direct application to South Korea due to data and environmental differences. This study proposes a health index calculation method tailored to the Korean context. By focusing on key deterioration factors and integrating local operational data, the method enables accurate condition assessment and informed maintenance prioritization. It is adaptable to environments with limited failure records or operational data. The proposed method is expected to extend equipment lifespan, reduce costs, and enhance asset management. Copyright © The Korean Institute of Electrical Engineers.