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박진현(Jinhyun Park),정충민(Choong-Min Jeong),마차오(ChaOh Ma),서명원(Myung-Won Suh),김현수(Hyun-Soo Kim),황성호(Sung-Ho Hwang) 대한기계학회 2012 대한기계학회 춘추학술대회 Vol.2012 No.4
본 논문은 그린카의 성능형가 환경을 구축하는 것을 최종 목표로 하고 있다. 이러한 목표 달성을 위하여 ‘MATLAB/Simulink’를 이용하여 그린카의 핵심부품 라이브러리를 구축하였으며, 개발된 부품 라이브러리를 토대로 다양한 그린카의 플랫폼을 개발하였다. 또한 이렇게 개발된 그린카 플랫폼의 주행시뮬레이션을 위하여 3D 렌더링 툴인 ‘Multigen Creator’를 이용하여 가상 주행환경을 구축하였다. 개발된 그린카 플랫폼과 가상 주행 환경을 연동을 위하여 실시간 시뮬레이션 환경을 구축하였으며, 구축된 실시간 시뮬레이션 환경은 운전자의 운전성향이나 도로의 교통상황이 반영된 주행상황에서 그린카의 성능평가 수행이 가능하다. 이렇게 개발된 시뮬레이션 환경은 그린카의 핵심부품을 설계 및 개발함에 있어 차량단위에서의 부품의 성능을 예측 및 검증하는데 활용 가능할 것으로 예상된다. In this study, the virtual development environment which allows performance evaluation of components of green car was intended to be developed. To achieve the goal, the library for core components of the Green car was constructed, based on which the Green car platform was developed. Also, this study involved using MATLAB/Simulink to simulate Green cars at the vehicle level in virtual environment, and using 3D rendering tool of Multigen Creator to construct virtual driving environment. By linking the Green car performance evaluation simulator constructed using commercial real-time simulation equipment with virtual driving environment, the environment was constructed to perform performance evaluation of the Green car under driving situation which reflected the traffic situations or driving situations reflecting the driving aspects of the driver instead of a standardized pattern, The constructed virtual driving simulator could be utilized for designing core components for Green cars, and verifying the performance.
인공신경망을 이용한 KNCAP-시트 안전성 시험방법 개선에 대한 연구
김시우(Siwoo Kim),심소정(Sojung Shim),정충민(Choong-Min Jeong),김배영(Baeyoung Kim),서명원(Myungwon Suh) 한국자동차공학회 2012 한국자동차공학회 부문종합 학술대회 Vol.2012 No.5
Normally when the test performed according to regulations or test protocols, there were impossible to same test conditions because test engineers and test equipments were different. The relevant regulations allow for such tolerance, and thus tests are conducted with an appropriate margin of test conditions. The tolerance is very important in determining whether the results is appropriate or not, if the result of the test will vary depending on the tolerance of test conditions. In particular, for tests with BioRID Ⅱ, in which dummy models are used to measure and assess whiplash injury of occupants in low-speed rear-end collision, test engineer must be cautious with the tolerances, because the BioRID Ⅱ dummy model has not yet been completely verified. This purpose of this study is to propose a methodology, which is to find an appropriate tolerances in test conditions for using artificial neural network(ANN) using BioRID Ⅱ. As it is difficult to completely reproduce the conditions of a test, suggest the following method, in which the results for the deviation of test results are measured by using an design of experiment and the artificial neural network method, and the tolerance of test conditions is determined to reduce such deviation. With this approach using ANN, it is possible to find an optimum tolerances in test conditions efficiently case of whiplash test protocol in KNCAP(Korea New Car Assessment Program).
신뢰도 경로의 고장열거를 이용한 시스템 신뢰도 계산방법 연구
이장일(Jang-Il Lee),박기준(Kee-Jun Park),천환규(Hwan-Kyu Chun),정충민(Choong-Min Jeong),신동준(Dong-Jun Shin),서명원(Myung-Won Suh) 대한기계학회 2011 大韓機械學會論文集A Vol.35 No.6
항공기, 철도, 선박과 같은 대형 시스템들은 전기, 기계적으로 매우 복잡한 구조를 가졌으며 부품의 수명만을 고려한 기존의 유지보수에서 탈피하여, 고장분석의 시스템화를 통해 장치의 고유수명과는 관계없이 발생 가능한 우발고장도 대처할 수 있는 신뢰성 기반의 유지보수체계를 연구하여야 한다. 본 연구에서는 선행연구로 필요한 복합 시스템의 신뢰도 계산방법에 관한 연구이다. 복합 시스템의 신뢰도를 효과적으로 계산하기 위해 시스템의 RBD(Reliability Block Diagram)를 구성하고 인접행렬을 사용하여 RBD(Reliability Block Diagram)를 행렬로 표현한다. 또한 RBD(Reliability Block Diagram)행렬을 통하여 신뢰도 경로행렬과 고장열거 행렬을 구성하여 시스템의 신뢰도를 계산한다. 본 연구에서 제안한 알고리즘은 자동화, 시스템화가 가능하며 현재 개발하고 있는 신뢰도 정보관리 시스템 및 신뢰성 기반 유지보수 시스템에서 활용될 것이다. Recently, systems such as aircraft, trains and ships have become larger more complex. Therefore, the reliability calculation of these systems is more difficult. This paper presents a reliability calculation algorithm for a complex system with a solution that is difficult to analyze. When the system has a very complex structure, it is very difficult to find an analytical solution. In this case, we can assess system reliability using the failure enumeration method of the reliability path. In this research, we represent the reliability block diagram by an adjacent matrix and define the reliability path. We can find any system status by the failure enumeration of the reliability path, and thus we can calculate any kind of system reliability through this process. This result can be applied to RCM (Reliability-Centered Maintenance) and reliability information-management systems, in which the system reliability is composed of the reliabilities of individual parts.
신뢰도 경로의 고장열거를 이용한 시스템 신뢰도 계산방법 연구
천환규(Hwan-Kyu Chun),박기준(Kee-Jun Park),이장일(Jang-Il Lee),정충민(Choong-Min Jeong),신동준(Dong-Jun Shin),서명원(Myung-Won Suh) 대한기계학회 2010 대한기계학회 춘추학술대회 Vol.2010 No.11
Recently, System including aircraft, train, and ship is more complex and huger. Accordingly, Reliability calculation of these systems is more difficult. This paper is the study about reliability calculation algorithm of complex system that is difficult to analyze solution. If system has simple series structure or parallel structure in reliability block diagram, we can easily find analytical solution. But when system has very complex structure, we are very difficult to find analytical solution of the system. In this case, we can assess system reliability using failure enumeration method of reliability path. This research represent reliability block diagram by adjacent matrix and define reliability path. We can find any system status by failure enumeration of reliability path. As a result, we can calculate any kinds system reliability through this process. This result can be applied to RCM(Reliability Centered Maintenance) and Reliability Information Management System that requires system reliability being composed by reliability of individual part.