• 제목/요약/키워드: Maintenance of State

검색결과 985건 처리시간 0.028초

Application of Particle Swarm Optimization to the Reliability Centered Maintenance Method for Transmission Systems

  • Heo, Jae-Haeng;Lyu, Jae-Kun;Kim, Mun-Kyeom;Park, Jong-Keun
    • Journal of Electrical Engineering and Technology
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    • 제7권6호
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    • pp.814-823
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    • 2012
  • Electric power transmission utilities make an effort to maximize profit by reducing their electricity supply and operation costs while maintaining their reliability. The development of maintenance strategies for aged components is one of the more effective ways to achieve this goal. The reliability centered approach is a key method in providing optimal maintenance strategies. It considers the tradeoffs between the upfront maintenance costs and the potential costs incurred by reliability losses. This paper discusses the application of the Particle Swarm Optimization (PSO) technique used to find the optimal maintenance strategy for a transmission component in order to achieve the minimum total expected cost composed of Generation Cost (GC), Maintenance Cost (MC), Repair Cost (RC) and Outage Cost (OC). Three components of a transmission system are considered: overhead lines, underground cables and insulators are considered. In regards to aged and aging component, a component state model that uses a modified Markov chain is proposed. A simulation has been performed on an IEEE 9-bus system. The results from this simulation are quite encouraging, and then the proposed approach will be useful in practical maintenance scheduling.

복합 센서의 상태 판정 알고리즘을 적용한 노면결빙 예측 및 강설 감지 시스템 개발에 관한 연구 (Study on the Development of Road Icing Forecast and Snow Detection System Using State Evaluation Algorithm of Multi Sensoring Method)

  • 김종우;정영우;남진원
    • 한국구조물진단유지관리공학회 논문집
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    • 제17권5호
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    • pp.113-121
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    • 2013
  • 본 연구의 복합 센서의 상태 판정 알고리즘을 적용한 노면결빙 예측 및 강설 감지 시스템은 기존 단일 센서 만을 이용하던 기존 방식에서 벗어나, 접촉식/비접촉식 센서 및 적외선 카메라를 통합 운영하여 분사 시스템의 분사 시기와 융설액 분사량을 최적 제어한다. 시스템에 적용된 상태 판정 알고리즘은 취득한 온/습도 데이터와 수분 감지 데이터, 관측된 도로 영상의 영상처리기술 등을 이용하여 노면결빙 위험상태와 강설 상태 뿐만 아니라 강설 강도까지 구분하여 판정을 수행한다. 제작된 시스템의 현장 적용 실험에서는 강설 상태 감지율 89% 습윤 상태 감지율 94%의 우수한 판정 결과와 신뢰성을 검증하였다.

컨테이너 터미널 장비의 RAM 향상을 위한 관리 시스템 (Management System for Improving RAM of Equipment in Container Terminals)

  • 윤원영;김귀래;하영주;손범신;김혜정
    • 산업공학
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    • 제19권3호
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    • pp.245-254
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    • 2006
  • Equipments in container terminal have a lot of parts, and an equipment breakdown affects the productivity of terminal. In this paper, we develop a maintenance management system for improving reliability, availability and maintainability of equipments in container terminals. The developed system consists of five modules : equipment structure module, equipment operation management module, maintenance control module, spare part control module and data analysis module. The system supports reliability engineers to manage and improve RAM of equipments in container terminals. For example, FMEA, failure state analysis and life distribution parameters estimation are easily or automatically done by the system. This system also provides optimal preventive maintenance intervals by simulation and optimal yearly PM schedules for equipments in container terminal are recommended.

Control system modeling of stock management for civil infrastructure

  • Abe, Masato
    • Smart Structures and Systems
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    • 제15권3호
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    • pp.609-625
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    • 2015
  • Management of infrastructure stock is essential in sustainability of society, and its analysis and optimization are studied in the light of control system modeling in this paper. At the first part of the paper, cost of stock management is analyzed based on macroscopic statistics on infrastructure stock and economical growth. Stock management burden relative to economy is observed to become larger at low economic growth periods in developed economies. Then, control system modeling of stock management is introduced and by augmenting maintenance actions as control input, dynamic behavior of stock is simulated and compared with existing time history statistics. Assuming steady state conditions, applicability of the model to cross sectional data is also demonstrated. The proposed model is enhanced so that both preventive and corrective maintenance can be included as system inputs, i.e., feedforward and feedback control inputs. Optimal management strategy to achieve specified deteriorated stock level with minimal cost, expressed in terms of preventive and corrective maintenance actions, is derived based on estimated parameter values for corrosion of steel bridges. Relative cost effectiveness of preventive maintenance is shown when target deteriorated stock level is lower.

가공 배전선로 활선 정비 로봇 시스템의 기술 타당성 검토 (Technical Feasibility Study on Live-line Maintenance Robot System for Overhead Distribution Lines)

  • 박준영;이윤건;장영식
    • KEPCO Journal on Electric Power and Energy
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    • 제8권2호
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    • pp.49-53
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    • 2022
  • The distribution live-line work method is an operation method of working in a state in which electricity flows through overhead distribution lines to minimize inconvenience to electric customers due to power failure. In June 2016, to strengthen the safety of electrical workers, Korea Electric Power Corporation announced that it would in principle abolish the rubber glove method, in which workers wore protective equipment such as rubber gloves and performed their maintenance work. In addition, KEPCO announced that it would develop a short-range live working method using smart sticks and an advanced live-line maintenance robot system where workers work without touching wires directly. This paper is a preliminary study for the development of the live-line maintenance robot system, and deals with the results of analyzing the technical feasibility of whether the live works performed by workers can be replaced by robots or not.

적응형 의사결정 트리와 최단 경로법을 이용한 기계 진단 및 보전 정책 수립 (Machine Diagnosis and Maintenance Policy Generation Using Adaptive Decision Tree and Shortest Path Problem)

  • 백준걸
    • 한국경영과학회지
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    • 제27권2호
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    • pp.33-49
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    • 2002
  • CBM (Condition-Based Maintenance) has increasingly drawn attention in industry because of its many benefits. CBM Problem Is characterized as a state-dependent scheduling model that demands simultaneous maintenance actions, each for an attribute that influences on machine condition. This problem is very hard to solve within conventional Markov decision process framework. In this paper, we present an intelligent machine maintenance scheduler, for which a new incremental decision tree learning method as evolutionary system identification model and shortest path problem as schedule generation model are developed. Although our approach does not guarantee an optimal scheduling policy in mathematical viewpoint, we verified through simulation based experiment that the intelligent scheduler is capable of providing good scheduling policy that can be used in practice.

지상 기동 및 고정 환경하 고장률 특성 분석 (Failure Rate Characteristics Analysis under Ground Mobile and Ground Fixed Environments)

  • 윤희성;정다운;윤종성;이승헌
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제11권3호
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    • pp.293-303
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    • 2011
  • Reliability Prediction using MIL-HDBK-217F has some restrictions due to its one modeling basis. One of the restrictions is caused by selecting one operating environment of a system, which is chosen regardless of its detailed conditions, e.g., external impact and vibration. Especially, an equipment, which is installed on a mobile vehicle though its movement is quasi-static, is controversial to designate its environment as ground mobile($G_M$), rather than ground fixed($G_F$). In this paper, failure rates were compared, which are computed using several moving time rates to total operating time. RiAC-HDBK-217Plus was used as the basic calculation model. In addition, $G_F$ conditioned failure rate was evaluated by comparing with that under $G_M$ environment but fixed state.

건축물 안전관리 실태분석을 통한 중점안전관리 대상 및 요소 설정에 관한 연구 (A Study on the Critical Safety Management Buildings and factors by Analyzing the Actual State of Building Safety Management)

  • 김은희
    • 대한건축학회논문집:계획계
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    • 제35권4호
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    • pp.37-44
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    • 2019
  • According to the statistical surveys and studies, insufficient maintenance in the use of existing buildings caused fire and collapse accidents. In this respect, I analyzed the data managed by the current building maintenance and inspection system to find out the actual state of safety management and proposed two significant results. First, regarding the state of the buildings, the safety management status of the small-sized ones, where 20 years or more passed after construction, is the worst and a priority improvement plan is required. Second, there are eight deeply concerning factors for the fire incidents and collapse accidents of buildings. In the order of high risk, these factors are structural strength (seismic design), exterior wall finishing material, basement floor, interior finishing materials, other evacuation facilities, corridors stairs entrances, rooftop, fire partition. We need to have more special designs and management plans regarding high-risk factors as a system to prevent accidents in the building.