In this paper, we introduce the Time Series Prediction Model Based on Wavenet Convolutional Neural Network. This means can give early warning for the future working state and possible faults of spacecraft in advance. As the signal of spacecraft thermal control system belongs to one-dimensional time series, this topic proposes to use the time series model based on WaveNet convolution neural network to predict the time series signal of spacecraft thermal control system and interpret the prediction information. The experimental results show that the time series prediction model of WaveNet convolutional neural network has good effect in fault prediction in a certain range


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    Title :

    Time Series Prediction Model of Spacecraft Health Management System Based on Wavenet Convolutional Neural Network


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Long, Shengzhao (editor) / Dhillon, Balbir S. (editor) / Zhang, Ping (author) / Xiang, Xinyu (author) / Cao, Jieren (author) / Zhu, Chunjian (author) / Yuan, Qiang (author) / Li, Renping (author) / Wang, Lijing (author) / Li, Ke (author)

    Conference:

    International Conference on Man-Machine-Environment System Engineering ; 2022 ; Beijing, China October 21, 2022 - October 23, 2022



    Publication date :

    2022-08-21


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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