학습효과를 고려한 인간 기계 직렬체계 신뢰도와 모수추정

Human Machine Serial Systems Reliability and Parameters Estimation Considering Human Learning Effect

  • 김국 (서경대학교 산업경영시스템공학과)
  • 투고 : 2018.11.05
  • 심사 : 2018.12.31
  • 발행 : 2018.12.31

초록

Human-machine serial systems must be normal in both systems. Though the failure of machine is irreducible by itself, the human errors are of recurring type. When the human performance is described quantitatively, non-homogeneous Poisson Process model of human errors can be developed. And the model parameters can be estimated by maximum likelihood estimation and numerical analysis method. System reliability is obtained by multiplying machine reliability by human reliability.

키워드

과제정보

연구 과제 주관 기관 : 서경대학교

참고문헌

  1. 박경수 (1980), 인간공학, 영지문화사, 서울.
  2. 박경수.김국 (2018), 신뢰성공학, 한얼출판사
  3. Dhillon, B. (1986), Human reliability, Pergamon pres. https://doi.org/10.1016/C2013-0-03785-1.
  4. Kim, K. (1989), "Human reliability model with probabilistic learning in continuous time domain", Microelectronics and Reliability, vol.29, No.5, pp.801-811. https://doi.org/10.1016/0026-2714(89)90180-7.
  5. Meister, D. (1973), A Critical review of human performance reliability predictive methods, IEEE Tr. Reliab., 22.3, p.116. https://doi.org/10.1109/tr.1973.5215925.
  6. Park, J. (2009), The Complexity of Proceduralized Task, Springer. https://doi.org/10.1007/978-1-84882-791-2.
  7. Park, K.S. (1985), Human reliability with probabilistic learning in discrete and continuous tasks : Conceptualization and modelling, Microelectron. Reliab., 25.1, p.157. https://doi.org/10.1016/0026-2714(85)90455-x.
  8. Park, K.S. (1987), Human reliability, Elsevier.