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      KCI등재

      예방 관리 기능을 갖는 시스템의 가용도 분석 = Availability Analysis of a System with Preventive Maintenance

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      https://www.riss.kr/link?id=A106321397

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      다국어 초록 (Multilingual Abstract)

      Performing preventive maintenance on a system reduces unexpected downtime caused by system aging and increases its availability. In general, preventive maintenance can be largely divided into two broad categories: time-based maintenance policy and condition-based maintenance policy. In the time-based maintenance policy the preventive maintenance is triggered at scheduled time epochs with fixed time intervals, while in the condition-based maintenance policy the preventive maintenance is performed when system state is checked to satisfy a specific condition. Condition-based maintenance has some benefits in improving maintenance efficiency, compared to time-based one. This paper presents a stochastic model for analyzing a system with condition-based preventive maintenance, where the preventive maintenance is performed after a random time since the system aging occurs, and provides an analytical solution for the steady-state availability and the corresponding profit.
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      Performing preventive maintenance on a system reduces unexpected downtime caused by system aging and increases its availability. In general, preventive maintenance can be largely divided into two broad categories: time-based maintenance policy and con...

      Performing preventive maintenance on a system reduces unexpected downtime caused by system aging and increases its availability. In general, preventive maintenance can be largely divided into two broad categories: time-based maintenance policy and condition-based maintenance policy. In the time-based maintenance policy the preventive maintenance is triggered at scheduled time epochs with fixed time intervals, while in the condition-based maintenance policy the preventive maintenance is performed when system state is checked to satisfy a specific condition. Condition-based maintenance has some benefits in improving maintenance efficiency, compared to time-based one. This paper presents a stochastic model for analyzing a system with condition-based preventive maintenance, where the preventive maintenance is performed after a random time since the system aging occurs, and provides an analytical solution for the steady-state availability and the corresponding profit.

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      참고문헌 (Reference)

      1 이유태, "시간 기반 소프트웨어 재활 방식의 가용도 분석" 한국정보통신학회 23 (23): 201-206, 2019

      2 류홍림, "네트워크 서비스의 가용도 향상를 위한 재활기법의 다중화 시스템 분석" 한국정보통신학회 20 (20): 1717-1722, 2016

      3 V. P. Koutras, "User-perceived availability of a software rejuvenation model with recovery time omission" 32 : 1521-1533, 2016

      4 Y. Huang, "Software rejuvenation: analysis, module and applications" 381-390, 1995

      5 M. S. Kadyan, "Reliability and profit analysis of a singleunit system with preventive maintenance subject to maximum operation time" 15 (15): 176-181, 2013

      6 T. Dohi, "Dynamic software availability model with rejuvenation" 59 (59): 270-290, 2016

      7 J. Kumar, "Cost-benefit analysis of a two-unit parallel system subject to degradation after repair" 4 (4): 2749-2758, 2010

      8 Y. Lee, "Availability analysis of a Markovian system with preventive maintenance" 5 (5): 54-55, 2018

      9 S. Garg, "Analysis of preventive maintenance in transactions based software systems" 47 (47): 96-107, 1998

      10 D. Cotroneo, "A survey of software aging and rejuvenation studies" 10 (10): 1-34, 2014

      1 이유태, "시간 기반 소프트웨어 재활 방식의 가용도 분석" 한국정보통신학회 23 (23): 201-206, 2019

      2 류홍림, "네트워크 서비스의 가용도 향상를 위한 재활기법의 다중화 시스템 분석" 한국정보통신학회 20 (20): 1717-1722, 2016

      3 V. P. Koutras, "User-perceived availability of a software rejuvenation model with recovery time omission" 32 : 1521-1533, 2016

      4 Y. Huang, "Software rejuvenation: analysis, module and applications" 381-390, 1995

      5 M. S. Kadyan, "Reliability and profit analysis of a singleunit system with preventive maintenance subject to maximum operation time" 15 (15): 176-181, 2013

      6 T. Dohi, "Dynamic software availability model with rejuvenation" 59 (59): 270-290, 2016

      7 J. Kumar, "Cost-benefit analysis of a two-unit parallel system subject to degradation after repair" 4 (4): 2749-2758, 2010

      8 Y. Lee, "Availability analysis of a Markovian system with preventive maintenance" 5 (5): 54-55, 2018

      9 S. Garg, "Analysis of preventive maintenance in transactions based software systems" 47 (47): 96-107, 1998

      10 D. Cotroneo, "A survey of software aging and rejuvenation studies" 10 (10): 1-34, 2014

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      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2017-12-01 평가 등재후보로 하락 (계속평가) KCI등재후보
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-11-23 학술지명변경 외국어명 : THE JOURNAL OF The KOREAN Institute Of Maritime information & Communication Science -> Journal of the Korea Institute Of Information and Communication Engineering KCI등재
      2011-11-16 학회명변경 영문명 : International Journal of Information and Communication Engineering(IJICE) -> The Korea Institute of Information and Communication Engineering KCI등재
      2011-11-14 학회명변경 한글명 : 한국해양정보통신학회 -> 한국정보통신학회
      영문명 : 미등록 -> International Journal of Information and Communication Engineering(IJICE)
      KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.23 0.23 0.27
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.24 0.22 0.424 0.11
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