The study of fault diagnosis of condenser based on the consensus information fusion

In order to enhance the accuracy rate of the fault diagnosis of condenser, a fault diagnosis method based on consensus information fusion is presented. The decision-making distance is calculated and the closest supporting group is found. By integrating the results of the closest supporting group, the best decision-making value of fault diagnosis is obtained. This method is applied in the simulation experiment of condenser fault diagnosis in this paper. The experimental results show that the consensus information fusion method is able to improve the reliability of the fault diagnosis and reduce erratic elements evidently.