군수 분야에서의 상용 컴퓨터 신뢰도 예측 적용 방안

서양우¹^{, *} ; 성형민² ; 우민규² ; 지혜진²

1LIG넥스원 PGM IPS연구소 수석연구원
2LIG넥스원 PGM IPS연구소 연구원

Study on the Application of Reliability Prediction for a Commercial Computer in the Defense Sector

Yangwoo Seo¹^{, *} ; Hyeongmin Seong² ; Mingyu Woo² ; Hyejin Ji²

1Chief research engineer, PGM Integrated Product Support R&D Lab, LIG Nex1
2Research engineer, PGM Integrated Product Support R&D Lab, LIG Nex1

Correspondence to: ^*Yangwoo Seo PGM Integrated Product Support R&D Lab, LIG Nex1, 255, Pangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea Tel: +82-31-326-9255 Fax: +82-31-326-9001 E-mail: yangwoo.seo2@lignex1.com

초록

신뢰도 예측은 통합체계지원 수행에 있어서 가장 근간이 되는 업무이며, 장비 운용유지 측면에서 매우 중요한 척도로 관리해야 한다. 본 논문은 상용 컴퓨터에 대한 군수분야에서의 신뢰도 예측을 수행하였다. 신뢰도 예측 절차에 따라 Windchill SW를 활용하여 고장률을 산출한 결과는 81.333194 횟수/10⁶시간이었다. 고장률 값을 활용하여 MTBF 변환 시 MTBF는 12,295시간으로 산출되었다. 추가로 운용 환경 및 운용 시간에 따른 영향성 분석을 수행하였다. 장비 운용 시 장비의 운용 환경 및 운용 시간이 다르기 때문에 같은 장비를 운용하더라도 MTBF가 다르게 산출됨을 확인할 수 있었다.

Abstract

Reliability prediction is the most basic task in performing integrated product support, and should be managed as a very important measure in terms of operating and maintaining. This paper conducted a reliability prediction in the military field for a commercial computer. As a result of calculating the failure rate using Windchill SW according to the reliability prediction procedure, it was 81.333194 failures/hours. In this case, MTBF was calculated at 12,295 hours during MTBF conversion using the failure rate. In addition, an impact analysis according to the operating environment and operating time was performed. Since the operating environment and operating time of the equipment are different when operating the equipment, it was confirmed that the MTBF was calculated differently even if the same equipment was operated.

Keywords:

Reliability, Reliability Prediction, Basic Reliability, Mission Reliability, Mean Time Between Failure, Mean Time Between Critical Failure

키워드:

신뢰도, 신뢰도 예측, 군수신뢰도, 임무신뢰도, 고장 간 평균시간, 임무 고장 간 평균시간

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