A 60-87 GHz experimental diffraction radiation oscillator

CHEN JIAYU, YU SHANFU, ZOU WENLU, DUAN YUXIANG, ZHANG FUXIN, LIN CHONGWEN, LIU SHENGGANG
1988 International journal of electronics (Print)  
Accurate network fault diagnosis in smart substations is key to strengthening grid security. To solve fault classification problems and enhance classification accuracy, we propose a hybrid optimization algorithm consisting of three parts: anti-noise processing (ANP), an improved separation interval method (ISIM), and a genetic algorithm-particle swarm optimization (GA-PSO) method. ANP cleans out the outliers and noise in the dataset. ISIM uses a support vector machine (SVM) architecture to
more » ... rchitecture to optimize SVM kernel parameters. Finally, we propose the GA-PSO algorithm, which combines the advantages of both genetic and particle swarm optimization algorithms to optimize the penalty parameter. The experimental results show that our proposed hybrid optimization algorithm enhances the classification accuracy of smart substation network faults and shows stronger performance compared with existing methods.
doi:10.1080/00207218808945263 fatcat:qxbt55zj3jerlg4lo3eyywvwfe