[논문]신뢰성 분석 기반 발전설비 점검계획 수립 시스템 연구- 석탄 하역기를 중심으로 -

황성환; 김유림; 강성우

doi:10.7469/jksqm.2023.51.2.315

신뢰성 분석 기반 발전설비 점검계획 수립 시스템 연구- 석탄 하역기를 중심으로 -
Study of Reliability Analysis Based Power Generation Facilities Maintenance System - Focused on Continuous Ship Unloader - 원문보기

品質經營學會誌 = Journal of Korean society for quality management, v.51 no.2, 2023년, pp.315 - 327

황성환 (인하대학교 산업경영공학과) , 김유림 (인하대학교 산업경영공학과) , 강성우 (인하대학교 산업경영공학과)

Abstract ▼ AI-Helper

Purpose: Recently, research has continued to predict the time of failure of the facility through measurement data obtained by attaching a sensor to the facility. However, depending on the facility, it may be difficult to attach a sensor. The purpose of this study is to propose a power generation maintenance plan system based on failure record data obtained from Continuous Ship Unloader, one of the facilities that is difficult to attach sensors. Methods: This study uses data collected from 2012 to 2022 from the 'CSU-1B' model among Continuous Ship Unloader operated by Korea Midland Power Co., LTD. By fitting fault record data to the Weibull distribution, appropriate maintenance cycles and ranges for each target facility subsystem are derived. In addition, maintenance group between subsystems is selected through Euclidean distance, a metric often used for time series data similarity. Through this, a system for establishing an maintenance plan for power generation facilities is proposed. Results: The results of this study are as follows. For the 17 subsystems of the Continuous Ship Unloader, proper maintenance cycles and ranges were determined, and a total of four maintenance groups were chosen. This resulted in the creation of an power generation maintenance plan system and the establishment of an maintenance plan. Conclusion: This study is a case study of power generation facilities. We proposed a maintenance plan system for Continuous Ship Unloader among power generation facilities.

주제어

표/그림 (15)

그림 Figure 1. Continuous Ship Unloader
표 Table 1. Target Facility Sub Systems
표 Table 2. Target Facility Sub Systems Fault Data
그림 Figure 2. Flow Chart for Maintenance Plan System
표 Table 3. 'B/E BUCKET & CHAIN DEVICE' Result of Weibull Analysis
그림 Figure 3. B/E BUCKET & CHAIN DEVICE Weibull Probablity Plot Result
표 Table 4. 'B/E BUCKET & CHAIN DEVICE' Reliability Scale
표 Table 5. Deriving Proper Maintenance Cycle and Range
표 Table 6. Maintenance Cycle and Range for Target Facility Sub Systems
표 Table 7. Target Facility Fault Mode Data
그림 Figure 4. Euclidean Distance Metric between Sub systems
표 Table 8. Maintenance Groups Selected From Sub systems
표 Table 9. Maintenance Cycle and Range within Maintenance Group A
그림 Figure 5. Maintenance Group A Maintenance Plan
표 Table 10. Facility Maintenance Plan System

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