Simulation approach for modeling of dynamic reliability using time dependent acyclic graph

• Autorzy: Briš R. , Praaks P.
• Języki publikacji: EN

Abstrakty

EN

The dynamic reliability approach takes into account changes (evolution) of the system structure (hardware). For instance, the dynamic reliability allows modeling a human operator (or an electronic control system) naturally. In these cases, the structure of the system is usually changed in order to keep the functionality and/or safety of the system. The main purpose of the paper is to illustrate, by means of a model example, the ability of acyclic oriented graph, terminal nodes of which are programmable components, to model simple dynamic system and to assess its performance via Monte-Carlo simulations. To demonstrate the availability of our framework a test case study with the deterministic evolution is presented. The here presented numerical results are in agreement with the exact analytical solution.

Słowa kluczowe

EN

reliability; complex dynamic systems; oriented acyclic graphs; Monte Carlo simulation

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2006
• Tom: nr 2
• Strony: 26--28
• Opis fizyczny: bibliogr. 6 poz.

Twórcy

autor

Briš R.

autor

Praaks P.

• Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, Department of Mathematics and Descriptive Geometry, VŠB - Technical University of Ostrava, 17.listopadu 15, CZ-708 33 Ostrava-Poruba, Czech Republic,

Bibliografia

• [1] P. E. Labeau (2000): A variational principle in probabilistic dynamics. Ann. of Nuclear Energy 27, (17), p. 1543-1575.
• [2] Chabot J.-L., Y. Dutuit and A. Rauzy (2002): A Petri net approach to dynamic reliability, http://www.aidic.it/italiano/congressi/esrel2001/webpapersesrel2001/289.pdf (as of October 15th, 2004).
• [3] Pasquet S., E. Chatelet, E. Padovani and E. Zio (1998): Use of Neural Networks To Evaluate The RAMS’ Parameters of Dynamic Systems. Proceedings of the ESREL’98 International Conference on Safety and Reliability, June 16-19, 1998, Trondheim, Norway, pp. 723-728.
• [4] Bris R., E. Chatelet and F. Yalaoui (2002): An efficient method to minimize the preventive maintenance cost of series-parallel systems. Workshop on Reliability-Based Design and Optimisation: RBO’02. September 23-25, 2002, Warsaw, edited by AMAS, pp. 185-199.
• [5] Bris R. (2003): Efficient Computational Algorithm for Reliability Analysis of Maintained System, Proceedings of Maintenance 2003, October 15-16, Prague, pg.108-111, ISBN 80-213-1065-0.
• [6] Praks P. and P. Konečný (2003): Direct Monte Carlo Method vs. improved methods considering applications in designers every day work. Chapter 23 in book: Marek P., Brozzetti J. & Guštar M. (editors): Probabilistic Assessment of Structures using Monte Carlo Simulation. Basics, Exercises, Software (Sec. edition). ITAM - Czech Academy of Sciences (10 pages, CD-ROM), ISBN 80-86246-19-1.