BA-PNN-based methods for power transformer fault diagnosis

Author:

Yang Xiaohui,Chen Wenkai,Li Anyi,Yang Chunsheng,Xie Zihao,Dong Huanyu

Funder

National Science Foundation of China

Jiangxi Provincial Department ofScience and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference31 articles.

1. Oil-immersed power transformer internal fault diagnosis research based on probabilistic neural network;Yu;Proc. Computer Sci.,2016

2. Dissolved gas analysis based feedback cloud entropy model for power transformer fault diagnosis;Xu;Power Syst. Prot. Control.,2013

3. Artificial neural networks for power transformers fault diagnosis based on IEC code using dissolved gas analysis;Ghoneim;Int. J. Control Autom. Syst.,2015

4. Power transformer fault classification based on dissolved gas analysis by implementing bootstrap and genetic programming;Shintemirov;IEEE Trans. Syst., Man, Cybernet., Part C (Applications and Reviews),2009

5. Transformer fault diagnosis based on improved evidence theory and neural network integrated method;Cheng;Power Syst. Protect. Control,2013

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