IGA-NARX Dam Deformation Prediction Model Based on Multi-level Filtering Noise Reduction
In view of the non-Gaussian noise pollution in the deformation data of concrete dam,it is difficult to de-scribe the trend and seasonality of the deformation data of concrete dam.Combination of CEEMD and particle filter meth-od is proposed to analyze the dam radial displacement of Jingpin Level I Hydropower Station.Firstly,the high frequency component and the low frequency component after CEEMD decomposition are distinguished,and only the high frequency component is denoised by particle filter.And then the component is reconstructed.The IGA-NARX neural network is driven by the displacement data of multi-level filtering and noise reduction,and the prediction model is constructed.The indexes of RRMSE and MMSE is used to evaluate the effectiveness of the model.It is verified by engineering examples.Com-pared with the comparison model,the proposed model has certain improvement in several evaluation indexes and has good practical value.
CEEMD decompositionconcrete dam deformation monitoringparticle filtering for noise reductionNARX neural networkimproved genetic algorithm
NETL
NSTL
万方数据
维普
