2011, Volume 13, Issue 12
Strategic Study of CAE >> 2011, Volume 13, Issue 12
Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072
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Abstract
The vibration of powerhouse structures is mainly induced by hydraulics factors, mechanical and electromagnetic factors of the generating unit. It nonlinearly couples with the generating unit. Based on prototype observation data of Ertan Hydropower Station, the paper analyzes the coupling effect between vibration of units and powerhouse,and then the vibration response forecasting model of the powerhouse is built based on LS-SVM optimized by particle swarm optimization algorithm, and the prediction results are coincide with the observed data. Further, the paper introduces the running water head as an input divisor into the intelligent prediction model while the forecasting range is extended, and the result is satisfactory.
Keywords
powerhouse ; coupled vibration ; particle swarm optimization algorithm ; least squares support vector machines ; response prediction
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