Petri nets modeling of condenser fault diagnosis based on information entropy

A new method of information theory technology combining with Petri nets was put forward to set up condenser fault diagnosis Petri nets modeling of multi-sensor fusion system in this paper by its operating characteristic. The information entropy is regarded as the standard of reduction to decrease uncertainty between faults and symptoms using the property with maximum information gains to set up optimal Petri nets modeling and then minimum diagnosis rules can be gained from fault symptoms. Discuss transition firing algorithm of Petri nets and set up corresponding correlation matrix, condenser fault diagnosis can be realized by simple matrix operators. In the end of this paper two practical condenser fault examples are used to verify it available. The simulation results are shown that the optimal Petri nets modeling can be gained by information entropy with the ability of rapid parallel reasoning and an intuitionist display as well as accurate diagnosis.