Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
권호 표지

A Study on the Processing Method of Reliability Database using 2-Bayes Theory

2-Bayes 이론을 이용한 데이터 처리방법에 관한 연구

  • Lee, M.S. (Department of Safety and Health Engineering Hoseo University) ;
  • Rhie, K.W. (Department of Safety and Health Engineering Hoseo University) ;
  • Kim, T.H. (Department of Safety and Health Engineering Hoseo University) ;
  • Yoon, I.K. (Korea Gas Corporation R&D Division) ;
  • Oh, Y.D. (Department of Safety and Health Engineering Hoseo University) ;
  • Seo, D.H. (Department of Safety and Health Engineering Hoseo University)
  • 이만수 (호서대학교 안전보건학과) ;
  • 이광원 (호서대학교 안전보건학과) ;
  • 김태훈 (호서대학교 안전보건학과) ;
  • 윤익근 (한국가스공사 연구개발원) ;
  • 오영달 (호서대학교 안전보건학과) ;
  • 서두현 (호서대학교 안전보건학과)
  • Published : 2009.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

The safety assessment for facility industry is now being periodically performed in Korea. For the purpose of scientific safety management, QRA(Quantitative Risk Assessment) is also being performed, and reliability data of the facilities is essential to perform the assessment. The necessary reliability data for QRA have been generally announced the values in other process industries, which results in the drop of risk reliability. The most appropriate method is to perform a direct reliability analysis towards the facilities undergoing safety assessment. In this study, the distinction between homogeneous sample estimation and multi-sample estimation of reliability data clarify using 2-Bayes theory.

Keywords

References

  1. OREDA, 'Offshore Reliability Data Handbook. 4th edition', DNV Technica, 2002
  2. H. J. Wingender, 5th EuReDATA 'Reliability Data Collection and Use in Risk and Availability Assessment', 1986
  3. Henri Procaccia, Spyros P. Arsenis, Patrick Aufort, Preface by G.Volta. 'European Industry Reliability Data Bank', 1998
  4. Center for Chemical Process Safety of the American Institute of Chemical Engineers, 'Guidelines for process equipment reliability data with data tables', 1989
  5. C. David, 'Selected Statistical Paper of Sir David Cox', Cambridge, pp. 489-495, 2006
  6. Y. M. Zhang; Z. Yang, 'Reliability-based Sensitivity Analysis of Vehicle Components with Non-normal Distribution Parameters', International journal of automotive technology. Vol. 10, No. 2, pp. 181-194, 2009. 3 https://doi.org/10.1007/s12239-009-0022-4
  7. G. I. Schueller, 'Efficient Monte Carlo Simulation Procedures in Structural Uncertainty and Reliability Analysis : Recent Advances', Structural Engineering and Mechanics : An International Journal. Vol. 32, No. 1, pp. 1-20, 2009. 5 https://doi.org/10.1111/j.1365-2605.2008.00924.x
  8. Allen Zielnik, Kurt Scott, 'Durability, Reliability & Financial Risk in PV', Inter PV. Vol. 1, No. 3, pp. 60-62, 2009. 5
  9. M. Muzzammil, N. A. Siddiqui, A. F. Siddiqui, 'Reliability Considerations in Bridge Pier Scouring', Structural Engineering and Mechanics : An International Journal. Vol. 28, No. 1, pp. 1-18, 2008. 1.