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http://dx.doi.org/10.14248/JKOSSE.2022.18.1.099

A Study on the Data-based WBS Model for Train Control System to Improve a Maintenance work  

Jeon, Jo Won (Dept. of Systems Engineering Graduate, AJOU University)
Kim, Young Min (AJOU University)
Park, Bum (AJOU University)
Publication Information
Journal of the Korean Society of Systems Engineering / v.18, no.1, 2022 , pp. 99-104 More about this Journal
Abstract
In this paper, to increase the maintenance efficiency of the urban railway train control system and to build a standard data system, we collect as much as possible structured, unstructured, and semi-structured data, and collect data by sensing and monitoring the system status and system status and monitoring. pre-process function data(Identification, purification, integration, transformation) through effective data classification and maintenance activities business classification system was studied. The purpose of this is to define the data matrix model by considering the relationship with the data generated and managed in the O&M stage of the train control system operated by the urban railway together with the WBS model, and to reflect and utilize it in practice.
Keywords
O&M(Operation & Maintenance); WBS(Work Breakdown Structure) Model; Train Control System; Data Preprocessing;
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