Modeling of system reliability Petri nets with aging tokens

Volovoi, Vitali

doi:10.1016/j.ress.2003.10.013

Cited by 126 publications

(66 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It means that the system enters into this state when there is a token in a place. Petri net is a strong and effective tool to describe the cause and effect, parallelism, conflict, asynchronous and of the system, which is expert at describing the behavior of the system and analyze the performance [10].…”

Section: Stochastic Petri Netmentioning

confidence: 99%

Using Stochastic Petri Nets for Reliability Evaluation of Subsea Annular BOP

Liu¹,

Y²,

Cai³

et al. 2013

IJSH

View full text Add to dashboard Cite

show abstract

Section: Stochastic Petri Netmentioning

confidence: 99%

Using Stochastic Petri Nets for Reliability Evaluation of Subsea Annular BOP

Liu¹,

Y²,

Cai³

et al. 2013

IJSH

View full text Add to dashboard Cite

show abstract

“…This special arc, shown by a line with a small circle on the end instead of an arrow, connects only an input place to a transition: see Figure 2. It acts such that if the number of tokens within the place is at least that of the arc weighting, the transition cannot switch, regardless of whether it is enabled or not [19]. In Figure 2, the otherwise enabled transition can wait for time t to expire, but cannot switch -no tokens are moved by that transition while the inhibiting place contains the relevant number of tokens.…”

Section: Figure 1 -Transition Enabling and Switchingmentioning

confidence: 99%

“…This means that if a phase has completed before the top event occurs, then the mission will still complete, whereas if a phase failure occurs before that phase has started, the mission will fail upon phase commencement, and a token will be placed in the "System Failed" place. This style of modelling phases was adapted from [19].…”

Section: Master Petri Netmentioning

confidence: 99%

Phased mission modelling of systems with maintenance-free operating periods using simulated Petri nets

Chew

Dunnett

Andrews

2008

Reliability Engineering & System Safety

View full text Add to dashboard Cite

A common scenario in engineering is that of a system which operates throughout several sequential and distinct periods of time, during which the modes and consequences of failure differ from one another. This type of operation is known as a phased mission, and for the mission to be a success the system must successfully operate throughout all of the phases. Examples include a rocket launch and an aeroplane flight. Component or sub-system failures may occur at any time during the mission, yet not affect the system performance until the phase in which their condition is critical. This may mean that the transition from one phase to the next is a critical event that leads to phase and mission failure, with the root cause being a component failure in a previous phase. A series of phased missions with no maintenance may be considered as a Maintenance Free Operating Period (MFOP). This paper describes the use of a Petri net to model the reliability of the MFOP and phased missions scenario. The model uses a form of Monte-Carlo simulation to obtain its results, and due to the modelling power of Petri Nets, can consider complexities such as multi-mission periods, component failure rate interdependencies, and mission abandonment. The model operates three different types of Petri Net which interact to provide the overall system reliability modelling.

show abstract

“…As a matter of fact, wear-based reliability of mechanical product is varying gradually with time [22] . There are many methods to build time-dependent reliability model, such as Markov theory [19], dynamic fault-tree model [7,13], stochastic MCS model [5], Go-flow model [11], stochastic petri nets [20]. As mechanical structure is so complex that the methods above are hardly applied to dynamic reliability analysis for mechanical systems and components.…”

Section: Introductionmentioning

confidence: 99%