Abstract
Nowadays, the scale of data normally stored in a database collected by Data Acquisition System (DAS) or Distributed Control System (DCS) in a power plant is becoming larger and larger. However there are abundant valuable knowledge hidden behind them. It will be beyond people's capacity to analyze and understand these data stored in such a scale database. Fortunately data-mining techniques are arising at the historic moment. In this paper, we explain the basic concept and general knowledge of data-mining; analyze the characteristics and research method of data-mining; give some typical applications of data-mining system based on power plant real-time database on intranct.
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Project (No. 06-020017) supported by Zhejiang Provincial Electric Power Corp.
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Jian-hong, C., Hao-ren, R., De-ren, S. et al. Data-mining massive real-time data in a power plant: challenges, problems and solutions. J. Zhejiang Univ. Sci. A 3, 538–542 (2002). https://doi.org/10.1631/jzus.2002.0538
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DOI: https://doi.org/10.1631/jzus.2002.0538