Research of the Transformer Fault Diagnosis Expert System based on ESTA and Deep Learning Neural Network programmed in MATLAB

DOI

10.2991/iccte-16.2016.132How to use a DOI?

Keywords

Expert System; ESTA; Deep Belief Network; BP Neural Network; MATLAB; Transformer Fault Diagnosis

Abstract

Some procedures or functions had be added to an ESTA (Expert System Shell for Text Animation) so that the ESTA and MATLAB can communicate via some data files.On this basis,a deep learning-DBN(Deep Belief Network) and two BP(back propagation) artificial neural network based on the MATLAB programming were researched by using directly DGA (Dissolved Gas Analysis) and characteristic gas method in transformer oil chromatographic analysis.The transformer fault diagnosis expert system based on a three ratio and characteristic gas method of DGA and ESTA including the DBN and two BP artificial neural network programmed in MATLAB had be created.The basic application shows the effectiveness of the expert system.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qiming Cui
AU  - Kai Liang
AU  - Hongyu Gao
AU  - Guodong Chen
AU  - Naiyu Wang
AU  - Shaoyu Jin
AU  - Changqing Zhong
AU  - Shuting Cui
AU  - Daojun Sun
AU  - Jie Fang
AU  - Chengwei Han
AU  - Bin Xu
AU  - Yuhong An
AU  - Minghu Xu
PY  - 2016/01
DA  - 2016/01
TI  - Research of the Transformer Fault Diagnosis Expert System based on ESTA and Deep Learning Neural Network programmed in MATLAB
BT  - Proceedings of the 2016 International Conference on Civil, Transportation and Environment
PB  - Atlantis Press
SP  - 772
EP  - 778
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-16.2016.132
DO  - 10.2991/iccte-16.2016.132
ID  - Cui2016/01
ER  -