| Title |
A Study on the Prediction of the Number of GIS Failures through Lifetime Analysis |
| Authors |
Seunghee O ; Bimaridi Afif ; Jinhyung Park ; Uhyeon Jo ; Woochur Shin ; Ragil HanditoRagil Handito ; Seongkeon Park ; Jongdoug Lee ; Kilsik Min ; Hyoungku Kang |
| DOI |
http://doi.org/10.5207/JIEIE.2022.36.7.045 |
| Keywords |
Asset management; Failure rate; Gas insulated switchgear; Hazard rate; Lifetime; Replacement |
| Abstract |
In the past, in accordance with the rapid development of industrial society, power facilities were replaced in order to expand the power grid and upgrade the performance. However, as the modernization of the industrial society is saturated, the replacement speed of facilities is slowing down, and the aging equipment is increasing. Therefore, interest in how to manage aging facilities is increasing, and research on the asset management of power facilities is required to establish a plan to efficiently operate facilities that are already in operation. It is necessary to diagnose the status of the facilities and analyze how the condition of the facilities will change in the future through an analysis of the remaining life. In order to establish the process, research on the statistical life of assets should be preceded. However, in the case of South Korea, power facilities are replaced before failure occurs in order to improve the reliability of power grid. Therefore, there is insufficient data to estimate the statistical life power assets. In this paper, a study on a system that analyzes the statistical lifetime using the data of gas insulated switchgear (GIS) published abroad and predicts the number of failures over time using the hazard rate. |