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서해윤,오세도,김영진 경희대학교 산학협력기술연구원 2010 산학협력기술연구논문집 Vol.16 No.-
Reinspection of vehicles in Korea is applied to the vehicles which were disqualified in the periodic inspection. Reinspection is implemented regardless of the degree of the severity of disqualification. Thus, the automatic reinspection period can result in the extended running of vehicles in invalid status. In this study, the authors investigate the cases in the US, Europe, and Japan where the inspection is extensively implemented. From these studies, the authors suggest a revision in the reinspection rules.
자기상관 데이터를 갖는 시스템의 이상진단 모듈 개발 : 엔진 조립라인의 예
오세도,서해윤,김영진,이태휘,이재원 한국경영과학회 2011 한국경영과학회 학술대회논문집 Vol.2011 No.5
Authors notice that there are auto-correlation features in the statistical data retrieved from the production line. These features may change the trend of the data based on the measuring environment. There are lots of factors that can cause the change of trend such as replacement of working tools, changes in humidity or temperature, the calibration of tester machines, and minor changes of sensor attachment point. Since it"s almost impossible to analyze all the causes to the trend of the data, we can"t simply apply the standard fixed upper and lower limit analysis to the production line data. In this paper, the authors propose a method that will provide a movable upper and lower limit by analyzing the production line data with trend. The production line data with auto-correlation features are retrieved from the engine assembly line of the H Motor Company. The satisfactory results are acquired after applying the proposed method and listed in the conclusion.
자기상관 데이터를 갖는 시스템의 이상진단 모듈 개발 : 엔진 조립라인의 예
오세도,서해윤,김영진,이태휘,이재원 대한산업공학회 2011 대한산업공학회 춘계학술대회논문집 Vol.2011 No.5
Authors notice that there are auto-correlation features in the statistical data retrieved from the production line. These features may change the trend of the data based on the measuring environment. There are lots of factors that can cause the change of trend such as replacement of working tools, changes in humidity or temperature, the calibration of tester machines, and minor changes of sensor attachment point. Since it"s almost impossible to analyze all the causes to the trend of the data, we can"t simply apply the standard fixed upper and lower limit analysis to the production line data. In this paper, the authors propose a method that will provide a movable upper and lower limit by analyzing the production line data with trend. The production line data with auto-correlation features are retrieved from the engine assembly line of the H Motor Company. The satisfactory results are acquired after applying the proposed method and listed in the conclusion.