The use of importance measures for the optimization of multi-state systems

• Autorzy: Zio E. , Podofillini L.
• Języki publikacji: EN

Abstrakty

EN

In this paper we propose an approach to the multiobjective optimization of a multi-state system (MSS) design, based on incorporating information from importance measures (IMs). More specifically, IMs come into play at the objective functions level in order to drive the search towards a MSS which, besides being optimal from the points of view of economics and safety, is also 'balanced' in the sense that all components have similar IMs values, without bottlenecks or unnecessarily high-performing components.

Słowa kluczowe

EN

importance measures; multi-state systems; multiobjective optimization

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2006
• Tom: nr 2
• Strony: 33--36
• Opis fizyczny: bibliogr. 4 poz.

Twórcy

autor

Zio E.

autor

Podofillini L.

• Department of Nuclear Engineering, Polytechnic of Milan, Via Ponzio 34/3, 20133 Milan, Italy,

Bibliografia

• [1] Hřyland, A. and M. Rausand (1994). System reliability Theory: models and Statistical methods. John Wiley & Sons.
• [2] Levitin, G. and A. Lisnianski (1999). Importance and sensitivity analysis of multi-state systems using the universal generating function method. Reliab. Eng. and Sys. Safety, 65; 271-282.
• [3] Lisnianski, A. and G. Levitin (2003). Multi-state system reliability. Assessment, Optimization and Applications, World Scientific.
• [4] Zio, E. and L. Podofillini (2003). Importance measures of multi-state elements in multi-state systems. International Journal of Reliability, Quality and Safety Engineering, 10, 3, 289-310.