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Trans Tech Publications, Applied Mechanics and Materials, (740), p. 351-354, 2015

DOI: 10.4028/www.scientific.net/amm.740.351

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The Applications of Real-Time Data Mining Technology in Fault Prediction of Power Plant Generator

Journal article published in 2015 by Feng Li, Hong Bin Wang, Dao Jun Deng, Yan Xia Zhang
This paper is available in a repository.
This paper is available in a repository.

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Abstract

This paper mainly discusses the applications of real-time data mining technology in fault prediction of power plant generator. Massive real-time historical data of thermal power plant turbine generator equipment is stored to realize comprehensive quantitative assessment of thermal power plant turbine generator’s online security status and potential failure Early Warning. It is based on the Real-time data mining analysis and modeling techniques.