RIMS 데이터 시계열 분석을 통한 도시철도 운용효율 향상 = RIMS data time a series analysis a city railroad a use efficiency improve

다국어 초록 (Multilingual Abstract)

In this paper, Seoulmetro that is the fisrt operation organization which operates a city railroad rolling-stock maintenance RIMS(rolling stock information maintenance system) collected and analyzed a light maintenance data and introduced time a series analysis technique to find the way how to contribute to a use efficiency improvement of a city railroad. The purpose of time a series analysis is to remove a seasonal change including data and to check an irregular fluctuation. First of all, a collection range of the data comes under a light maintenance ,however it needs a data of more than 3 years to check the seasonal change. We put a study for an accumulated scope that the data satisfy a period like this and are able to extend a range of the study when time flys forward. The data used for study is filtered using a movement average method after passing proper selection working and is solved with a method which looks for season index. Using the season index that was getten in here, we predict a light working frequency, if it has an irregular change , we will contribute it to a city railroad a use efficiency improvement and establish the cause by carrying out prevent maintenance in advance.

목차 (Table of Contents)

• ABSTRACT
• 1. 서론
• 2. 검수작업 현황
• 3. 시계열 분석
• 4. 계절지수와 장애의 상관관계 검증
• 5. 결론
• 참고자료