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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2002, Vol. 3 Issue (5): 538-542    DOI: 10.1631/jzus.2002.0538
Computer & Industry Technology     
Data-mining massive real-time data in a power plant: challenges, problems and solutions
CHEN Jian-hong, REN Hao-ren, SHENG De-ren, Li Wei
Institute of Power Plant Thermal Energy Engineering & Automation, Zhejiang University, Hangzhou 310027, China
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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 intranet.

Key words： Data-mining      Power plant      Database      Real-time      Intranet     
Received: 11 October 2001     
CLC:  TK233  
  TP274  
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CHEN Jian-hong
REN Hao-ren
SHENG De-ren
Li Wei
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CHEN Jian-hong, REN Hao-ren, SHENG De-ren, Li Wei. Data-mining massive real-time data in a power plant: challenges, problems and solutions. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2002, 3(5): 538-542.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2002.0538     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2002/V3/I5/538

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