@misc{Malinowski_Jacek_Determining_2008,
 author={Malinowski, Jacek},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2008},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={In this paper, a transmission network composed of n linearly arranged components e_0, ...,e_n is considered. For each i=1 , ... ,n- 1 the component e_i is directly connected to e_i-1 and e_i+1, while e_n is directly connected to e_n-1 alone; e_0 is the source component from which certain commodity (electric power, radio signal, electronic data, water, gas, etc.) is transferred, via e_1, ... ,e_n-1, to e_n. Each component can be in one of two states: 1 - operating, 0 - failed; e_0 is always in operating state. The order in which failed components are chosen for repair depends on the repair policy applied - two of such policies will be considered. A commodity can be transferred from e_0 to e_i, i=1, ... ,n, if and only if e_i is functional and connected to e_0, i.e. e_1, ... ,e_i are in the operating state. As failures of components occur, the periods during which functional e_i is connected to e_0 are interleaved by the periods during which e_i is failed or disconnected from e_0. The main goal of this paper is to determine the mean durations of these time intervals, i.e. the mean time from the moment when the connection between e_0 and e_i is interrupted to the moment when it is restored, and the mean time of uninterrupted connection between e_0 and e_i. It is assumed that the functioning of e_i depends on the states of e_1, ... ,e_i-1 in the following way: e_i can only fail if e_1, ... ,e_i-1 are in the operating state.},
 title={Determining reliability parameters for a commodity transfer system with non-independent components},
 type={Text},
 URL={http://www.rcin.org.pl/Content/102761/PDF/RB-2008-21.pdf},
 keywords={Niezawodność, Reliability, Monte carlo simulation, Symulacja monte carlo, Transmission network, Two-component system, Sieć transmisyjna, Układ dwuskładnikowy},
}