Rough set and radial basis function neural network based insulation data mining fault diagnosis for power transformerOA
Rough set and radial basis function neural network based insulation data mining fault diagnosis for power transformer
Rough set (RS) and radial basis function neural network (RBFNN) based insulation data mining fault diagnosis for power transformer is proposed. On the one hand rough set is used as front of RBFNN to simplify the input of RBFN…查看全部>>
Rough set (RS) and radial basis function neural network (RBFNN) based insulation data mining fault diagnosis for power transformer is proposed. On the one hand rough set is used as front of RBFNN to simplify the input of RBFNN and mine the rules. The mined rules whose "confidence" and "support" is higher than requirement are used to offer fault diagnosis service for power transformer directly. On the other hand the mining samples corresponding to the mined r…查看全部>>
DONG Li-xin;XIAO Deng-ming Xiao;LIU Yi-lu
Institute of Electronic Information & Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, ChinaInstitute of Electronic Information & Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, ChinaDept. of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
信息技术与安全科学
rough set (RS)radial basis function neural network (RBFNN)data miningfault diagnosis
rough set (RS)radial basis function neural network (RBFNN)data miningfault diagnosis
《哈尔滨工业大学学报（英文版）》 2007 (2)
263-268,6
Sponsored by the National Natural Science Foundation of China (Grant No. 50128706).
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