Fault diagnosis of power transformer using neural network of decision tree

Wensheng Gao; Zheng Qian; Zhang Yan

Fault diagnosis of power transformer using neural network of decision tree

Wensheng Gao^*
, Zheng Qian
, Zhang Yan

^*Corresponding author for this work

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A decision the method is presented using the synthetic analysis of the cause and injury extent of transformer malfunction. The identification order is directed downward such that each leaf serves as a malfunction scenario. While each branch corresponds to different artificial neural network (ANN), a multi-resolution identification of transformer malfunction can thus be constructed. Convergence of ANN and accuracy of diagnosis are improved.

Original language	English
Pages (from-to)	11-16
Number of pages	6
Journal	Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
Volume	33
Issue number	6
State	Published - Jun 1999
Externally published	Yes

Cite this

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title = "Fault diagnosis of power transformer using neural network of decision tree",

abstract = "A decision the method is presented using the synthetic analysis of the cause and injury extent of transformer malfunction. The identification order is directed downward such that each leaf serves as a malfunction scenario. While each branch corresponds to different artificial neural network (ANN), a multi-resolution identification of transformer malfunction can thus be constructed. Convergence of ANN and accuracy of diagnosis are improved.",

author = "Wensheng Gao and Zheng Qian and Zhang Yan",

year = "1999",

month = jun,

language = "英语",

volume = "33",

pages = "11--16",

journal = "Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University",

issn = "0253-987X",

publisher = "Xi'an Jiaotong University",

number = "6",

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TY - JOUR

T1 - Fault diagnosis of power transformer using neural network of decision tree

AU - Gao, Wensheng

AU - Qian, Zheng

AU - Yan, Zhang

PY - 1999/6

Y1 - 1999/6

N2 - A decision the method is presented using the synthetic analysis of the cause and injury extent of transformer malfunction. The identification order is directed downward such that each leaf serves as a malfunction scenario. While each branch corresponds to different artificial neural network (ANN), a multi-resolution identification of transformer malfunction can thus be constructed. Convergence of ANN and accuracy of diagnosis are improved.

AB - A decision the method is presented using the synthetic analysis of the cause and injury extent of transformer malfunction. The identification order is directed downward such that each leaf serves as a malfunction scenario. While each branch corresponds to different artificial neural network (ANN), a multi-resolution identification of transformer malfunction can thus be constructed. Convergence of ANN and accuracy of diagnosis are improved.

UR - https://www.scopus.com/pages/publications/0033141049

M3 - 文章

AN - SCOPUS:0033141049

SN - 0253-987X

VL - 33

SP - 11

EP - 16

JO - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

JF - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

IS - 6

ER -

Fault diagnosis of power transformer using neural network of decision tree

Abstract

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