마스크 데이터를이용한 컴포넌트의 고장발생확률 추정

• 영문명: Estimating Outbreak Probabilities of Systems and Components with Masked Data
• 발행기관: 한국산업경영시스템학회
• 저자명: 박창규
• 간행물 정보: 『산업경영시스템학회지』제25권 제6호, 7~11쪽, 전체 5쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2002.12.01

국문 초록

This paper estimates defect and outbreak probabilities of each individual component from some subset of masked data where the exact component causing system failure might be unknown. A system consists of k components that fails whenever there is a defect in at least one of the components. Due to cost and time constraints it is not feasible to learn exactly which components are defective. Because, test procedures ascertain that the defective components belong to some subset of the k components. This phenomenon is termed masking. We describe a, b, c type in which a sample of masked subsets is subjected to intensive failure analysis. This recorded data of a, b, c type enables maximum likelihood estimation of defect probability of each individual component and leads to outbreak of the defective components in future masked failures.