Time-frequency domain identification of dynamic loads on hydropower station

HYPERBOLE Symposium 2017 (HYdropower plants PERformance and flexiBle Operation towards Lean integration of new renewable Energies)

Ma, Zhenyue^1 ; Sun, Wanquan^2

School of Hydraulic Engineering, Dalian University of Technology, Dalian

116024, China^1

Department of Hydraulic Engineering, North China Electric Power University, Beijing

102206, China^2

关键词: Analysis techniques;    Fourier;    Hydropower stations;    Time frequency characteristics;    Time frequency domain;    Wavelet based analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/813/1/012050/pdf
DOI  :  10.1088/1742-6596/813/1/012050

来源: IOP

【 摘 要 】

In this study the wavelet-based analysis technique is proposed for analyzing its time-frequency characteristics, and identifying its maximum dynamic loads with genetic algorithm. The signals extracted by wavelet analysis are furthermore used for estimating the modelling parameters and loads. It is also indicated that the load amplitudes estimated with the extracted data by wavelet analysis can provides more detailed and finer information than those by Fourier analysis technique. This study is a valuable reference for investigating the vibrating source rule and predicting the dynamic response of powerhouse structures.