A Transformer Condition Assessment System Based on Data Warehouse and Data Mining

Authors:
Xueyu Li;Lizeng Wu;Jinsha Yuan;Yinghui Kong
Affiliations:
Department of Electronics and Communication, North China Electric Power University, No.204, Qingnian Road, Baoding, 071003, China;Beijing No.2 Co-generation Plant No. 52, Lian Hua Chi Dong Lu, Beijing, China;Department of Electronics and Communication, North China Electric Power University, No.204, Qingnian Road, Baoding, 071003, China;Department of Electronics and Communication, North China Electric Power University, No.204, Qingnian Road, Baoding, 071003, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Year:
2007

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Abstract

A framework of transformer condition assessment system is proposed in this paper. In this system, we use a data warehouse, a multi-agent system and data mining techniques respectively to collect transformers' testing data, design the framework of the software, and evaluate transformers' conditions. The proposed system prototype had been tested with realistic transformers with reliable performance. The present framework is open and flexible, therefore the objective system is easy to be maintained and developed further.