Importance measures in presence of uncertainties

• Autorzy: Baraldi P. , Zio E. , Compare M.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a work on the study of importance measures in presence of uncertainties originating from the lack of knowledge and information on the system (epistemic uncertainties). A criterion is proposed for ranking the risk contributors in presence of uncertainties described by probability density functions.

Słowa kluczowe

EN

importance measures; birnbaum importance; uncertainty; sorting algorithm; quicksort

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2008
• Tom: Vol. 1
• Strony: 33--39
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wykr.

Twórcy

autor

Baraldi P.

• Energy Department, Polytecnic of Milan, Milan, Italy

autor

Zio E.

• Energy Department, Polytecnic of Milan, Milan, Italy

autor

Compare M.

• Energy Department, Polytecnic of Milan, Milan, Italy

Bibliografia

• [1] Birnbaum, Z. W. (1969). On the importance of different components in a multi component system. Multivariate analysis II, New York, Academic Press.
• [2] Youngblood, R. W. (2001). Risk significance and safety significance. Reliability Engineering and System Safety; 73, 121-136.
• [3] Apostolakis, G. E. (1990). The concept of probability in safety assessments of technological systems, Science, 250, 1359-1364.
• [4] Modarres, M. (2006). Risk Analysis in Engineering: Probabilistic Techniques, Tools and Trends. CRC Press.
• [5] Hoare, C. A. (1962). Quicksort. Computer Journal, 5, 10-15.
• [6] Zio, E. (2006). An introduction to the basics of reliability and risk analysis. Singapore, World Scientific Publishing.
• [7] Rausand, M. & Hoyland, A. (2004). System Reliability Theory. Wiley.
• [8] Birolini, A. (2004). Reliability Engineering. Springer.
• [9] Schneeweiss, W. G. (2001). Reliability Modeling. LiLoLe-Verlag.