A security analysis model based on Time Bayes Petri nets for the low temperature filling hybrid process system

The time Bayes Petri net (TBPN) is discussed in this paper to evaluate the security of the filling system. Particularly, the initial event of the TBPN is computed by the Bayesian probability formula, which can be employed to transfer the continuous object into discrete event. And then, employing the time interval to calculate the decision function, and combining sequential consistency decision function to confirm the type of the failure, the damage degree of the system can be obtained by these decision function. The goal of this model is to make the security probability curve to track the failure initial event, which is also the difficulty of the model, so we established a simplified simulation experiment to verify the validity of the model architecture. The result of the simulation shows that the security model can track the failure probability in real time. Finally, we give our future work of the application of the TBPN on the low temperature filling hybrid process system.