Petri nets extension to model state-varying failure rates

  • Authors:
  • Sanja Lazarova-Molnar

  • Affiliations:
  • United Arab Emirates University, United Arab Emirates

  • Venue:
  • Proceedings of the 2013 Summer Computer Simulation Conference
  • Year:
  • 2013

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Abstract

One of the most common assumptions in reliability modeling is the constant failure rate. This has been increasingly changing lately, yielding significant research towards abandoning simulation results based on this assumption; thus, deeming constant failure rates as inadequate to model failures accurately. The improvement is the time-varying failure rate. However, besides time, in reality failure rates can be affected by the state of the system (or its history, in terms of sequences of states and events that it has been through). In this paper we define and distinguish several classes of state-varying failure rates and extend the formalism of Petri nets to model them. To illustrate our approach we provide an example model that features state-varying failure rates.