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

Feng Li; Hong Bin Wang; Dao Jun Deng; Yan Xia Zhang

doi:10.4028/www.scientific.net/AMM.740.351

Paper Titles

Modified Power Compensation Control Strategy of Three-Phase Grid-Connected Inverter under Unbalanced Grid Voltage Conditions
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Research on the Large Disturbance Characteristics of the Pumped Storage Motor with the Time-Stepping FEM Consequently
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Space Vector Control of Permanent Magnet Synchronous Motor Based on 60^o Coordinate System
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The Analytical Simulation of Squirrel Cage Induction Generator-Rectifier System Based on SPWM
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The Applications of Real-Time Data Mining Technology in Fault Prediction of Power Plant Generator
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The Control System for Three-Phase Induction Motors Based on Stator Flux Orientation
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The Research on Main Circuit Parameters and its Control Law of TCR Single-Phase to Three-Phase Power Converter
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Load Identification Modeling with Improved Model Structure
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740The Applications of Real-Time Data Mining...

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

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.

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Periodical:

Applied Mechanics and Materials (Volume 740)

Pages:

351-354

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.740.351

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Online since:

March 2015

Authors:

Feng Li*, Hong Bin Wang, Dao Jun Deng, Yan Xia Zhang

Keywords:

Data Mining, Failure Warning, Power Generator

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* - Corresponding Author

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