Do primary event uncertainty distributions impact top event distribution?

• Autorzy: Górska M.
• Języki publikacji: EN

Abstrakty

EN

The risk analysis is an essential element of planning, production and operation of technical equipment. This paper deals with the fault tree. The fault tree analysis belongs to the most commonly used risk assessment methods. The main aim of the paper is to ask for the question: does the top event uncertainty assessment have a relationship with adopted assumption of primary events distribution?To achieve this aim a computer simulation that involve random numbers, commonly known as the Monte Carlo method, was used. The research makes use of the Beta, Lognormal, Johnson SJ and truncated Normal distribution.

Słowa kluczowe

EN

fault tree; primary events distributions; top event distribution; uncertainty assessment; mode; uncertainty coefficient; reliability structure function; Monte Carlo simulation

• Wydawca: Wydawnictwo Uczelniane Politechniki Koszalińskiej
• Czasopismo: Zeszyty Naukowe Wydziału Elektroniki i Informatyki Politechniki Koszalińskiej
• Rocznik: 2011
• Tom: Nr 3
• Strony: 133--145
• Opis fizyczny: Bibliogr. 4 poz., rys., tab.

Twórcy

autor

Górska M.

• Akademia Pomorska w Słupsku, ul. Partyzantów 27, 76-200 Słupsk, Polska

Bibliografia

• 1. Apostolakis G.,Lee Y.T.: Methods for the estimation of confidence bounds for the top event unavailability of fault trees. Nuclear Engineering and Design. 41 (1977) , pp 411-419.
• 2. Drapella A., Górska M.: Uncertainty Propagation in Fault Tree. A Monte Carlo Approach. Network Centric Warfare. Naval Academy Gdynia 2009.
• 3. O’Connor P. D.T.: Practical Reliability Engineering. Wiley 2002.
• 4. PN-EN 61078 (U), Techniki Analizy Niezawodności. KT 009 ds. Niezawodności 2002.