The Applications of Real-Time Data Mining Technology in Fault Prediction of Power Plant Generator-Reference-Cited by-同舟云学术

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

Published:2015-03 Issue: Volume:740 Page:351-354
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Li Feng¹,Wang Hong Bin¹,Deng Dao Jun²,Zhang Yan Xia³

Affiliation:

1. Electric Power Research Institute of Guangdong Power Grid Corporation

2. China Real-time Technology Co., Ltd

3. North China Electric Power University

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.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.740.351.pdf

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