Guo J., Ji D., Du S., Zeng S., Sun B., 2013, Fault Diagnosis of Hybrid Systems Using Particle Filter Based Hybrid Estimation Algorithm, Chemical Engineering Transactions, 33, 145-150.
Hybrid systems are composed of discrete event dynamic systems and continuous time dynamic systems, which interact with each other. The fault diagnosis of hybrid systems is particularly difficult. To solve this problem, a hybrid estimation based hybrid systems fault diagnosis method is proposed in this paper. Based on the stochastic hybrid automaton, the operating states and fault states of the system are modelled to support the fault diagnosis of hybrid systems. Then the common particle filter based hybrid estimation algorithm is developed so as to be used in hybrid states estimation and fault diagnosis of hybrid systems, which contain controlled migration, autonomous migration and stochastic migration. To demonstrate the proposed method, a simulation experiment is employed to conduct the fault diagnosis on a typical hybrid system. And the results indicate that this method is able to diagnose the failure accurately.
