Temat: dynamic reliability - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Safety and reliability models of time-dependent systems
Autorzy:: Babczyński, T.
Kowalski, M.
Łukowicz, M.
Magott, J.
Skrobanek, P.
Powiązania:: https://bibliotekanauki.pl/articles/2069500.pdf
Data publikacji:: 2011
Wydawca:: Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:: dynamic reliability
maintenance process
fault tree with time dependencies
activity diagram
Opis:: The paper concerns models with time dependencies that can be used in modelling dynamic reliability and complex maintenance processes. Emphasis is put on models that have been elaborated with authors participation. The following models are presented: fault trees with time dependencies, probabilistic fault trees with time dependencies, reliability enhanced activity diagrams. The above models are illustrated by examples. Both types of fault trees are used in modelling the time coordination of distance protections in high voltage transmission line. Then reliability enhanced activity diagrams that express the maintenance process of computer system with redundant components. Components are submitted to failures and repairs.
Źródło:: Journal of Polish Safety and Reliability Association; 2011, 2, 1; 11--22
2084-5316
Pojawia się w:: Journal of Polish Safety and Reliability Association
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Recurrent neural networks for dynamic reliability analysis
Autorzy:: Cadini, F.
Zio, E.
Pedroni, N.
Powiązania:: https://bibliotekanauki.pl/articles/2069583.pdf
Data publikacji:: 2007
Wydawca:: Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:: dynamic reliability analysis
infinite impulse response
locally recurrent neural network
long-term non-linear dynamics
system state memory
simplified nuclear reactor
Opis:: A dynamic approach to the reliability analysis of realistic systems is likely to increase the computational burden, due to the need of integrating the dynamics with the system stochastic evolution. Hence, fast-running models of process evolution are sought. In this respect, empirical modelling is becoming a popular approach to system dynamics simulation since it allows identifying the underlying dynamic model by fitting system operational data through a procedure often referred to as ‘learning’. In this paper, a Locally Recurrent Neural Network (LRNN) trained according to a Recursive Back-Propagation (RBP) algorithm is investigated as an efficient tool for fast dynamic simulation. An application is performed with respect to the simulation of the non-linear dynamics of a nuclear reactor, as described by a simplified model of literature.
Źródło:: Journal of Polish Safety and Reliability Association; 2007, 1; 45--53
2084-5316
Pojawia się w:: Journal of Polish Safety and Reliability Association
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Dynamic methodologies for reliability and probabilistic risk assessment (PRA)
Autorzy:: Aldemir, T.
Powiązania:: https://bibliotekanauki.pl/articles/2069563.pdf
Data publikacji:: 2008
Wydawca:: Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:: reliability
dynamic methodologie
probabilistic risk assessment
Opis:: Dynamic methodologies in reliability and PRA are those that explicitly account for the time element in probabilistic system evolution. Dynamic methodologies are usually needed when the system has more than one failure mode, control loops, and/or hardware/process/ software/human interaction. An overview of the dynamic methodologies proposed to date is given, including those that use dynamic event tree generation, continuous time-state space representation, the cell-to-cell mapping technique and graphical schemes. The use of dynamic methodologies for state/parameter estimation in on-line applications is also discussed. Potential on-line use of dynamic methodologies as operator assistance tools for risk informed accident management or normal operation is described and illustrated.
Źródło:: Journal of Polish Safety and Reliability Association; 2008, 1; 7--12
2084-5316
Pojawia się w:: Journal of Polish Safety and Reliability Association
Dostawca treści:: Biblioteka Nauki

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