YANG Jing, LI Yingna, ZHAO Zhengang, et al. Short-term icing forecasting based on phase space reconstruction wavelet neural network[J]. 2019, 38(9): 108-111.
YANG Jing, LI Yingna, ZHAO Zhengang, et al. Short-term icing forecasting based on phase space reconstruction wavelet neural network[J]. 2019, 38(9): 108-111. DOI: 10.13873/J.1000-9787(2019)09-0108-04.
Aiming at the problem of ice coating on transmission lines
a short-term icing prediction model based on phase space reconstruction wavelet neural network is proposed. Based on the ice thickness monitoring data of a110 kV transmission line in Zhaotong
Yunnan
the Lyapunov index of the ice-covered time series is obtained first
and the nonlinear dynamics analysis of the ice-covered thickness is carried out to determine the chaotic characteristics of the sequence. The phase space reconstruction of the system is carried out by the C-C method to find the local regularity of the data change. Finally
the wavelet neural network is used to predict the phase space trajectory
and the ant colony algorithm is used to optimize the prediction model parameters. Experiments show that the model has good predictive ability and has practical guiding significance for the work against icing.
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