Design of fault diagnosis expert system of transformer

被引：2

作者：

Sun, Tao ^{[1
]}

Liu, Haibo ^{[1
]}

机构：

[1] Shandong Polytech Univ Elect Engn & Automat, Jinan, Peoples R China

来源：

ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4 | 2013年 / 291-294卷

关键词：

Transformers; Knowledge representation; Inference; Expert system;

D O I：

10.4028/www.scientific.net/AMM.291-294.2557

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The transformer fault diagnosis expert system design knowledge representation and reasoning mechanisms are the key issue. Characteristics of transformer fault diagnosis system based on human experts, learning on the basis of the human expert diagnosis of transformer faults, to build a transformer fault diagnosis expert system of systems architecture, knowledge representation and reasoning mechanisms for a more detailed analysis and discussion.

引用

页码：2557 / 2561

页数：5

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