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A Fault Diagnosis Expert System Based on Production Rule for Power Transformers

Author: LiLei
Tutor: WangBaoBao
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Fault Diagnosis Expert system Production rules Inference engine Finite state automata
CLC: TM407
Type: Master's thesis
Year: 2008
Downloads: 282
Quote: 10
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Abstract


Increasingly important to ensure power system security , economic , and stable operation , power equipment fault diagnosis . Power transformers as a major power equipment throughout the run , plays a vital role . In this paper, the object-oriented technology development expert system to solve the problem of transformer fault intelligent diagnosis . Expert system key is the design of the knowledge base and inference mechanism This article describes the form and production database production rule - based knowledge representation , design and transformer fault diagnosis knowledge base , given the database table Figure . Inference engine , based on the characteristics of the transformer fault diagnosis , proposed a parallel inference mechanisms , including accurate rule-based reasoning and fuzzy reasoning based on fuzzy evaluation matrix . Theoretical innovation , the paper proposes a method to study the reasoning process of production using finite automata , the production forward reasoning or tree concept and structure is mapped to the concept and structure of the finite state automata been generated mathematical model based reasoning - finite state automata state conversion chart. Which can be transformed by analyzing the state some nature , to describe and analyze production reasoning .

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CLC: > Industrial Technology > Electrotechnical > Transformers, converters and reactors > General issues > Maintenance,repair
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