Research on Fault Diagnosis for Power Transmission Based on Mass Data Mining

Xiao Yan Sun; Long Li; Ping Ping Liu

doi:10.4028/www.scientific.net/AMM.271-272.1623

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 271-272Research on Fault Diagnosis for Power Transmission...

Research on Fault Diagnosis for Power Transmission Based on Mass Data Mining

Abstract:

A Multi-Agent based transmission fault diagnosis system is researched in this paper. Many data digging analysis methods are employed, combined with data warehouse, OLAP and Multi-Agent technology. An intelligent decision supporting system for monitoring transmission network data is built. Data digging method is used to intelligently analyze and process fault data in the data warehouse, and Agent technology is used to realize data collection, pretreatment, inquiry, knowledge Automatic extraction, mining and other functions, which makes the whole mining process intellectual and intelligent. It aids transmission management with decision-making, thus to make the monitoring and repair of power grid fault more timely and accurate.

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Periodical:

Applied Mechanics and Materials (Volumes 271-272)

Pages:

1623-1627

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.271-272.1623

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Online since:

December 2012

Authors:

Xiao Yan Sun, Long Li, Ping Ping Liu

Keywords:

Data Mining (DM), Fault Diagnosis System, Knowledge Discovery in Database, MAS

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