One intelligent method for fault diagnosis and its application

被引：0

作者：

Ni, YP ^{[1
]}

Brdys, M ^{[1
]}

机构：

[1] Kunming Univ Sci & Technol, Sch Informat & Automat, Kunming 650051, Peoples R China

来源：

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年

关键词：

improved neural networks; fault diagnosis; chromatogram analysis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper the intelligent method for fault diagnosis of transformer is discussed based on the chromatogram data, and the model of improved neural networks for fault synthesis diagnosis is presented. We have tested and verified the practical data of fault samples. Experiments prove that this method is practically variable, is of high recognizing rate to faults and meanwhile can be applied to the fault diagnosis of other electric equipment.

引用

页码：755 / 758

页数：4

共 3 条

[1] LEARNING BIAS IN NEURAL NETWORKS AND AN APPROACH TO CONTROLLING ITS EFFECTS IN MONOTONIC CLASSIFICATION
ARCHER, NP
WANG, SH
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1993, 15 (09) : 962 - 966
[2] FAILURE PROPAGATION TREES FOR DIAGNOSIS IN MANUFACTURING SYSTEMS
CHANG, SJ
DICESARE, F
GOLDBOGEN, G
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1991, 21 (04): : 767 - 776
[3] COMPARISON OF NEURAL-NETWORK MODELS FOR FAULT-DIAGNOSIS OF POWER-SYSTEMS
RANAWEERA, DK
[J]. ELECTRIC POWER SYSTEMS RESEARCH, 1994, 29 (02) : 99 - 104

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