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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Li, X., Wu, L., Yuan, J., & Kong, Y. (2007). A transformer condition assessment system based on data warehouse and data mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4488 LNCS, pp. 978–981). Springer Verlag. https://doi.org/10.1007/978-3-540-72586-2_138
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