Title :
A Coupling Model of Electric Power Grid Based on Rough Sets and Radical Basis Function
Author :
Li Xiaoquan ; Wang Jie ; Cheng Peiyuan
Author_Institution :
Dept. of Launching Eng., Airforce Eng. Univ. Missile Inst., Sanyuan, China
Abstract :
In order to solve the problem of complex systempsilas fault diagnosis, using a method of attribute reduction, a new type of model was established which combined rough sets and radial basis function net closely in this paper. The model mixed their advantage fully. Take a common power grid for example and compare the computing results with a method in one reference. The results illustrate that the model reduces subject factors in signal recognition, improves networkpsilas structure and its recognizing effects are more obvious and its classifying ability is more strong than traditional method which combined rough sets and BP net, and also, it has very wide foreground.
Keywords :
power engineering computing; power grids; power system faults; radial basis function networks; rough set theory; electric power grid coupling model; fault diagnosis; radical basis function network; rough set theory; signal recognition; Couplings; Electric variables measurement; Fault diagnosis; Missiles; Power engineering and energy; Power measurement; Power system modeling; Power systems; Rough sets; Switches; coupling model; electric power grid; fault diagnosis; radical basis function(RBF); rough sets(RS);
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.313