• 제목/요약/키워드: Time Based Maintenance

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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 -)

  • 황성환;김유림;강성우
    • 품질경영학회지
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    • 제51권2호
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    • pp.315-327
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    • 2023
  • 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.

추계학적 확률과정을 이용한 경사제 피복재의 예방적 유지관리를 위한 조건기반모형 (Condition-Based Model for Preventive Maintenance of Armor Units of Rubble-Mound Breakwaters using Stochastic Process)

  • 이철응
    • 한국해안·해양공학회논문집
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    • 제28권4호
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    • pp.191-201
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    • 2016
  • 추계학적 확률과정을 이용하여 경사제 피복재를 예방적으로 유지관리할 수 있는 조건기반모형을 개발하였다. 완전 보수보강 조건에서 가장 경제적으로 보수보강이 수행되어야 하는 최적의 시점을 결정할 수 있는 모형이다. 본 연구에서 개발된 RRP(Renewal Reward Process) 기반 경제성 모형은 이자율을 고려할 수 있을 뿐만 아니라 기존 연구에서 상수로 취급하던 비용을 시간에 따른 확률변수로 고려할 수 있다. 누적피해와 사용한계 그리고 구조물의 중요도를 모두 고려할 수 있는 함수식을 제시하여 ABM(Age-Based Maintenance)을 CBM(Condition-Based Maintenance)으로 쉽게 확장할 수 있게 하였다. 또한 함수식에 포함된 계수들을 수학적으로 산정할 수 있는 방법도 제시하였다. 두 가지 추계학적 확률과정, WP(Wiener Process)와 GP(Gamma Process)를 이용하여 경사제 사석재를 해석하였다. 사용한계, 이자율 그리고 구조물의 중요도에 따라 시간에 따른 기대총비용율을 산정하여 기대총비용율이 최소가 되는 예방적 유지관리의 최적 시점을 쉽게 추정할 수 있었다. 동일한 사용한계에서 이자율이 높을수록 최적시점은 늦어지고 그에 따라 기대총비용율도 낮아졌다. 또한 상대적으로 GP가 WP보다 더 보수적으로 최적시점을 예측하였다. 마지막으로 동일한 조건에서 구조물의 중요도가 높을수록 더 자주 예방적 보수보강을 실시하여야 한다는 것을 알았다.

Optimization of Generator Maintenance Scheduling with Consideration on the Equivalent Operation Hours

  • Han, Sangheon;Kim, Hyoungtae;Lee, Sungwoo;Kim, Wook
    • Journal of Electrical Engineering and Technology
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    • 제11권2호
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    • pp.338-346
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    • 2016
  • In order for the optimal solution of generators’ annual maintenance scheduling to be applicable to the actual power system it is crucial to incorporate the constraints related to the equivalent operation hours (EOHs) in the optimization model. However, most of the existing researches on the optimal maintenance scheduling are based on the assumption that the maintenances are to be performed periodically regardless of the operation hours. It is mainly because the computation time to calculate EOHs increases exponentially as the number of generators becomes larger. In this paper an efficient algorithm based on demand grouping method is proposed to calculate the approximate EOHs in an acceptable computation time. The method to calculate the approximate EOHs is incorporated into the optimization model for the maintenance scheduling with consideration on the EOHs of generators. The proposed method is successfully applied to the actual Korean power system and shows significant improvement when compared to the result of the maintenance scheduling algorithm without consideration on EOHs.

혼합정수계획법을 활용한 도로포장 보수구간 선정 최적화 연구 (Optimal Road Maintenance Section Selection Using Mixed Integer Programming)

  • 조건영;임희종
    • 한국도로학회논문집
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    • 제19권3호
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    • pp.65-70
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    • 2017
  • PURPOSES : Pavement Management System contains the data that describe the condition of the road. Under limited budget, the data can be utilized for efficient plans. The objective of this research is to develop a mixed integer program model that maximizes remaining durable years (or Lane-Kilometer-Years) in road maintenance planning. METHODS : An optimization model based on a mixed integer program is developed. The model selects a cluster of sectors that are adjacent to each other according to the road condition. The model also considers constraints required by the Seoul Metropolitan Facilities Management Corporation. They select two lanes at most not to block the traffic and limit the number of sectors for one-time construction to finish the work in given time. We incorporate variable cost constraints. As the model selects more sectors, the unit cost of the construction becomes smaller. The optimal choice of the number of sectors is implemented using piecewise linear constraints. RESULTS : Data (SPI) collected from Pavement Management System managed by Seoul Metropolitan City are fed into the model. Based on the data and the model, the optimal maintenance plans are established. Some of the optimal plans cannot be generated directly in existing heuristic approach or by human intuition. CONCLUSIONS:The mathematical model using actual data generates the optimal maintenance plans.

용인경전철 차량부품 정비 데이터 분석 및 상태기반 예지 유지보수 방안 연구 (A Study on the Maintenance Data Analysis of Vehicle Parts of Yongin Light Rail and Condition-Based Prediction Maintenance)

  • 이경호;이중윤;김영민
    • 시스템엔지니어링학술지
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    • 제18권1호
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    • pp.1-13
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    • 2022
  • The Yongin Light Rail train was manufactured by Bombardier Transportation in Canada in 2008 and is a privately invested railway line that has been operating in Yongin-si, Gyeonggi-do, since 2013. When the frequency of train failure increases due to aging, and there is a delay in the delivery period of imported parts used in the Bombardier manufactured trains, timely vehicle maintenance may not be performed due to lack of parts. To solve this problem, it is necessary to build a 'vehicle parts maintenance demand forecasting system' that analyzes the accurate and actual maintenance demand annual based on the condition of vehicle parts. The full scope of analysis in this paper analyzes failure data from various angles after opening of Yongin light rail vehicle to analyze failure patterns for each part and identify replacement cycles according to possible failures and consumption of parts. Based on this study, it is expected that Yongin Light Rail's maintenance system will change from the existing time-based replacement (TBM) concept to the condition-based maintenance (CBM) concept. It is expected that this study will improve the efficiency of the Yongin Light Rail maintenance system and increase vehicle availability. This paper is a fundamental for establishing of a system for predicting the replacement timing of vehicle parts for Yongin Light Rail. It reports the results of data analysis on some vehicle parts.

운용환경을 고려한 항공오일시험장비의 최적정비주기 설정 (Optimal Maintenance Cycle for Aviation Oil Testing Equipment under the Consideration of Operational Environment)

  • 김인석;정원
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제16권3호
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    • pp.224-230
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    • 2016
  • Purpose: Military maintenance involves corrective and preventive actions carried out to keep a system in or restore it to a predetermined condition. This research develops an optimal maintenance cycle for aviation oil testing equipment with acceptable reliability level and minimum maintenance cost. Methods: The optimal maintenance policy in this research aims to satisfy the desired reliability level at the lowest cost. We assume that the failure process of equipment follows the power law non-homogeneous Poisson process model and the maintenance system is a minimal repair policy. Estimation and other statistical procedures (trend test and goodness of fit test) are given for this model. Results: With time varying failure rate, we developed reliability-based maintenance cost optimization model. This model will reduce the ownership cost through adopting a proactive reliability focused maintenance system. Conclusion: Based on the analysis, it is recommended to increase the current maintenance cycle by three times which is 0.5 year to 1.5 years. Because of the system's built-in self-checking features, it is not expected to have any problems of preventative maintenance cycle.

Ubiquitous-BIM 기술 기반의 철도교량 유지관리 운영체계 구축 전략 및 타당성 평가 (Development Strategies and Feasibility Evaluation of Maintenance Operation System for Railway Bridge Based on Ubiquitous-BIM Technology)

  • 문현석;김현승;강인석
    • 한국철도학회논문집
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    • 제15권5호
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    • pp.459-466
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    • 2012
  • 기존의 철도교량 유지관리체계는 주로 정보누락, 문서위주 관리 및 유선기반의 정보수집 등으로 인하여 다양한 현장의 환경변화에 실시간 대응이 곤란하여 능동적인 철도교량 유지관리 전략 수립에 제약을 갖고 있다. 본 연구에서는 유비쿼터스 기반의 철도교량 유지관리 정보운용체계 구축을 위한 실무 활용모형과 건설 생애주기의 통합 정보관리체계인 BIM (Building Information Modeling) 개념을 적용하여 유지관리 통합 운용모형을 제안하고 있다. 이의 개발 및 실무적 적용의 타당성 확보를 위해 설문분석에 의한 정량적 평가를 수행하였다. 최근 철도교량의 지능형 유지관리 운영체계가 확대될 것을 고려하면, 본 연구의 제안사항은 운영체계 구축을 위한 통합 프레임워크로 활용될 수 있을 것이다.

CMMS(Computerized Maintenance Management System)의 실 시간적인 CBMS(Condition Based Maintenance System) 연구 (Development of CMMS for the real-time CBMS)

  • 박주식;박재현;강경식;이광배
    • 대한안전경영과학회지
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    • 제2권4호
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    • pp.1-8
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    • 2000
  • Equipment and machine of industrial plant are give effect to mechanical-stress of many working-stop or long time operating. Therefore, to be old and decrepit of every king of equipment. As long time operating equipment period into increase conservation and of repair equipment time is efficacious necessity of utility factor gradually that of productivity of diminution and complete equipment expense of increase. Conservation at special skill working and necessity is that will effectually and complete a period prevention management diagnosis can conservation point at issues at in advance.

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LNG-FPSO Topside 장비를 위한 보전시스템 개발을 위한 사례 연구 (Case Study for Development of Maintenance System for Equipment of LNG-FPSO Topside)

  • 이순섭;김종왕
    • 한국해양공학회지
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    • 제28권6호
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    • pp.533-539
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    • 2014
  • A maintenance system for an offshore plant uses an optimal maintenance method, process, and period based on operation information data and economic evaluation techniques. Maintenance is performed after one or more indicators show that equipment is going to fail or that equipment performance is deteriorating. A maintenance system is based on the use of real-time data to prioritize and optimize the LNG-FPSO topside equipment resources.

THE RIGHT TIME AND RIGHT BUDGET TO MAINTAIN THE COMPONENTS OF BRIDGE

  • H. Ping Tserng;Chin-Lung Chung
    • 국제학술발표논문집
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    • The 2th International Conference on Construction Engineering and Project Management
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    • pp.810-819
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    • 2007
  • Usually the status of a bridge is determined by its structural capability and material strength. Consequently a lot of researchers have studied the failure, the fatigue, and the deterioration of the structure in terms of the structural function of a bridge. However, the overall performance of a bridge may be affected simply by the damage of one of its components. Therefore this study utilized a systematic classification and statistical analysis based on the existing bridge inspection data collected in Taiwan to reach the following goals: (1) assess the performance distribution and deterioration rate for bearing and expansion joint of bridge; (2) find out the right time to do the preventive and essential maintenance for the component of bridge with an empirical method, and to decide what time and which component of a bridge will receive preventive maintenance or regular maintenance.

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