Date Added: Jul 2013
Failures are very often affected by many other factors besides the time. In reality, very often, these factors are neglected, leading to misleading conclusions about reliability of stochastic systems. In this paper, the authors identify the key factors that contribute to failure rates of various stochastic systems. They further formalize them and provide solutions for their modeling using stochastic Petri nets. The latter one is a challenging task for certain classes of factors, thus they have extended the classic Petri net formalism by new elements to facilitate the accurate modeling of these types of failures, which they term as state-varying failures. They illustrate how each of the factors is modeled by Petri nets.