Title :
The study of fault diagnosis of condenser based on the consensus information fusion
Author :
Li, Yang ; Hao, Zhang ; Fei, Xia ; Daogang, Peng
Author_Institution :
Shanghai Univ. of Electr. Power, Shanghai, China
Abstract :
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.
Keywords :
condensers (steam plant); decision making; fault diagnosis; steam turbines; closest supporting group; condenser fault diagnosis method; consensus information fusion; decision making distance; electric power production; steam turbine; Circuit faults; Decision making; Fault diagnosis; Gaussian distribution; Intelligent sensors; Measurement errors; Neural networks; Production; Sensor fusion; Turbines; condenser; consensus information fusion; fault diagnosis;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5358110
