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《Journal of Yibin University》 2015-12
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Development of Neural Networks in Transformer Fault Diagnosis

LIAO Jianwen;ZHANG Yan;SUN Hong;Department of Electronic Information and Control Engineering,Yibin Vocational and Technical College;Yibin Mechatronics Research Inst Itute;  
The development of transformer fault diagnosis relates to information technology and artificial intelligence tech-nology closely. Neural network and its optimization algorithm are widely used in transformer fault diagnosis. Both networkstructure and optimization of algorithm relate to accuracy and real time of fault diagnosis. The study found that the integra-tion of mathematical theory and neural networks and quantum neural computation helps to improve troubleshooting capa-bilities, and it has become a trend of neural networks.
【Fund】: 四川省教育厅重点项目(15ZA0397);; 宜宾职业技术学院科研项目(ybzysc14-36)
【CateGory Index】: TP183;TM407
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