Condition assessment of substation equipment based on intelligence information fusion

Study on method of condition assessment of substation equipment is the key subject in condition maintenance. This article introduced the application of artificial intelligence methods in the substation equipment condition assessment and different artificial intelligence methods, such as artificial n...

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Bibliographic Details
Published inIEEE PES Innovative Smart Grid Technologies pp. 1 - 5
Main Authors Qingdong Feng, YongLiang Liang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
artificial intelligence
artificial neural network
condition assessment
Data mining
expert system
Fault diagnosis
Feature extraction
fuzzy theory
information fusion
Lead
Maintenance engineering
Monitoring
Oil insulation
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ISBN1467312215
9781467312219
ISSN2378-8534
DOI10.1109/ISGT-Asia.2012.6303093

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Summary:Study on method of condition assessment of substation equipment is the key subject in condition maintenance. This article introduced the application of artificial intelligence methods in the substation equipment condition assessment and different artificial intelligence methods, such as artificial neural network (ANN), fuzzy theory and expert system, are introduced respectively, and their advantages and disadvantages are analysed in detail; in accordance with feature of multi-sensor information in online monitoring, the application of information fusion in condition assessment gained an important introduction; The assessment method based on intelligence information fusion is recommended to solve the deficiency of single assessment method.
ISBN:1467312215
9781467312219
ISSN:2378-8534
DOI:10.1109/ISGT-Asia.2012.6303093