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Journal of Zhejiang University SCIENCE A 2002 Vol.3 No.5 P.538~542

http://doi.org/10.1631/jzus.2002.0538


Data-mining massive real-time data in a power plant: challenges, problems and solutions


Author(s):  CHEN Jian-hong, REN Hao-ren, SHENG De-ren, Li Wei

Affiliation(s):  Institute of Power Plant Thermal Energy Engineering & Automation, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   EnergyStar@cmee.zju.edu.cn

Key Words:  Data-mining, Power plant, Database, Real-time, Intranet


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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[J]. Journal of Zhejiang University Science A, 2002, 3(5): 538~542.

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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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[2] Chen, J.H., Ren, H.R., Sheng, D.R., Li, W., 2001b. Investigation on knowledge discovery and data mining based on the real-time turbogenerator's monitoring data. Zhejiang electric power, (6):7-10.

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[6] Fayyad, U., 1996c. From Data Mining to Knowledge Discovery: Advances in Knowledge Discovery and Data Mining. AAAI Press/The MIT Press.

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