인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Today, A vehicle system design is becoming more and more complex because of the bigger potion of electrical part than yesterday. And vehicle level customer wants the project schedule to be less and a plenty of variants for 1 project. ISO26262, Which is a critical requirement about functional safety, also be required by customers. To meet these all requirement, we need state-of-the-art optimized system design, functional safety validation and verification, and so on.
In this paper, we introduce the process based on model based system engineering and ISO26262 development procedure. It is required to change not only existing processes but also organization to correspond to ISO-26262 standard requirements effectively. When we develop a system following MBSE process, system effective analysis is easy cause of visualization of system. By doing so, an error from design change can be decreased and a quality problem can be prevented. And also there is an advantage of managing the traceability between a requirement and a design. We can inspect the logical errors and human errors by using automation functional of a software tool comparing with the ordinary method of system engineering. Auto-generated documentation is plus.
This methodology is applied on development of EPS.
In this paper, we introduce the process based on model based system engineering and ISO26262 development procedure. It is required to change not only existing processes but also organization to correspond to ISO-26262 standard requirements effectively. When we develop a system following MBSE process, system effective analysis is easy cause of visualization of system. By doing so, an error from design change can be decreased and a quality problem can be prevented. And also there is an advantage of managing the traceability between a requirement and a design. We can inspect the logical errors and human errors by using automation functional of a software tool comparing with the ordinary method of system engineering. Auto-generated documentation is plus.
This methodology is applied on development of EPS.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2017-556-002281581