Denoising method and system for electromagnetic time sequence data

The invention relates to an electromagnetic time series data processing method and system. The method comprises the following steps: acquiring original electromagnetic time sequence data, and representing an electromagnetic time sequence as a one-dimensional time sequence; constructing the represent...

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Bibliographic Details
Main Authors ZHANG XIAN, SU GUI, MA FANHONG, LI NIANCHUN, LUO YUCHENG, LI JIN, LIU YECHENG
Format Patent
LanguageChinese
English
Published 25.03.2022
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Summary:The invention relates to an electromagnetic time series data processing method and system. The method comprises the following steps: acquiring original electromagnetic time sequence data, and representing an electromagnetic time sequence as a one-dimensional time sequence; constructing the represented one-dimensional time sequence into a Hankel matrix, performing SVD decomposition on the matrix, and determining dimensions of the Hankel matrix according to a singular value ratio; decomposing the one-dimensional time sequence into an approximate time sequence and a detail time sequence with different resolutions according to the matrix dimension and the multi-scale sample entropy; then adaptively decomposing the superposed detail time sequence into a plurality of modal components by using an ICEEMDAN algorithm, constructing an instantaneous modal component threshold, identifying an abnormal part in the modal components, and carrying out truncation processing; according to the technical means provided by the inv
Bibliography:Application Number: CN202210173887