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무기체계 신뢰도 예측시 임무주기 적용 방안에 대한 연구
윤희성(Huisung Yun),정다운(DaUn Jeong),이은학(Eunhak Lee),강태원(Taewon Kang),이승헌(Seunghun Lee),허만옥(Manog Hur) 한국신뢰성학회 2011 신뢰성응용연구 Vol.11 No.4
Duty cycle is determined as the ratio of operating time to total time. Duty cycle in reliability prediction is one of the significant factors to be considered. In duty cycle application, non-operating time failure rate has been easily ignored even though the failure rate in non-operating period has not been proved to be small enough. Ignorance of non-operating time failure rate can result in over-estimated system reliability calculation. Furthermore, utilization of duty cycle in reliability prediction has not been evaluated in its effectiveness. In order to address these problems, two reliability models, such as MIL-HDBK-217F and RIAC-HDBK-217Plus, were used to analyze non-operating time failure rate. This research has proved that applying duty cycle in 217F model is not reasonable by the quantitative comparison and analysis.
윤희성(Huisung Yun),정다운(DaUn Jeong),윤종성(Jongsung Yoon),이승헌(Seunghun Lee) 한국신뢰성학회 2011 신뢰성응용연구 Vol.11 No.3
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(GM), rather than ground fixed(GF). 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, GF conditioned failure rate was evaluated by comparing with that under GM environment but fixed state.
MIL-HDBK-217F의 환경인자 분석을 통한 환경변환계수 추정
정다운(DaUn Jeong),윤희성(Huisung Yun),이은학(Eunhak Lee),권동수(Dong-soo Kwon),이승헌(Seunghun Lee) 한국신뢰성학회 2011 신뢰성응용연구 Vol.11 No.2
Environment Conversion Factors, which are stipulated in System Reliability Toolkit, have a lot of advantages once applied in a reliability data handbook such as NPRD-95, during the process of reliability prediction. However, the factors have a restriction in their applications because they don"t deal with a few environments, e.g., Missile Launch (ML). In this study, environment factors of various components from MIL-HDBK-217F were analyzed to address this problem. Statistical computations showed that converting from Airborne Rotary Wing (ARW) to Missile Launch (ML) was the most coherent by comparing coefficient of determination. In addition, conversion factors from System Reliability Toolkit and those from the statistical calculations were evaluated in terms of their similarities.
정다운(DaUn Jeong),윤희성(Huisung Yun),곽초롱(Chorong Kwak),이승헌(Seunghun Lee),허만옥(Manog Hur) 한국신뢰성학회 2012 신뢰성응용연구 Vol.12 No.1
The quality of a part has directly effect on part reliability. In the basis of MIL-HDBK-217F model, it is the determined rule that part’s quality level should follow its nominal one written in its specification. If quality information is unknown, quality level of the part should be determined as ‘Lower’. However, the prediction model is said to be short in reflecting parts applying ‘state-of-the-art’ technology and result in over-estimated failure rate by some reliability-related authorities or research institutes. In this study, the reliability prediction results by the model of MIL-HDBK-217F and Telcordia SR-332 are compared and analyzed to verify whether the statement is reasonable or not.
정다운(DaUn Jeong),윤희성(Huisung Yun),권동수(Dongsoo Kwon),이승헌(Seunghun Lee) 한국신뢰성학회 2011 신뢰성응용연구 Vol.11 No.3
In the statement of logistics reliability prediction methodology, all components should be managed as the analysis objectives. However, in some reliability prediction of weapon systems, fastening parts, e.g., screws, bolts and nuts, have been frequently ignored because some organizations related to weapon systems have emphasized that those parts are not significant in their failures rate and functions. In this paper, failure rates, modes, and distributions were presented to prove that fastening parts should be included in reliability prediction objectives. Also, failure rate prediction methods of fastening parts are presented and compared.