Wind field characterization method with empirical mode decomposition noise reduction and complex network analysis combined

An empirical mode decomposition and complex network technology, applied in the field of near-surface wind field type characterization, can solve the problems of large volume of anemometers, noise of original wind field data, unstable measurement results, etc., and achieves strong robustness and data length. less dependent effect
CN105678047AInactive Publication Date: 2016-06-15TIANJIN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TIANJIN UNIV
Publication Date
2016-06-15
Estimated Expiration
Not applicable · inactive patent

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Abstract

A wind field characterization method with empirical mode decomposition noise reduction and complex network analysis combined comprises the steps of performing empirical mode decomposition on an input wind field signal; performing phase-space reconstruction on intrinsic mode function components obtained after decomposition, and calculating predictable intensity; selecting the minimum value of a predictable intensity and intrinsic mode function order change relation curve as a demarcation point, and accumulating the intrinsic mode function components with the order greater than the demarcation point so as to obtain a noise reduction processed signal; performing phase-space reconstruction again on the noise reduction processed signal, calculating a complex network connection matrix, and constructing a wind field time sequence complex network; and repeating the process for wind field signals of other space points in a partial wind field, and obtaining global efficiency-modularity and assortativity coefficient-global efficiency combined feature characterization of different space points. According to the wind field characterization method, noise and original signals can be distinguished accurately, and noise reduction performance is outstanding. Characterization discrimination of combined features of the complex network is obvious, and the wind field characterization method can be widely used in various fields such as meteorology, agriculture, energy and environmental protection.
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Description

technical field

[0001] The invention relates to a method for characterizing near-surface wind field types. In particular, it relates to a wind field characterization method that combines empirical mode decomposition noise reduction and complex network analysis for near-surface wind field signal noise reduction and wind field type characterization. Background technique

[0002] The near-surface wind field type refers to the specific wind field form or mode formed near the surface under certain weather conditions and complex terrain constraints. By characterizing the types of wind fields, the flow and evolution of near-surface wind fields can be better revealed. It will have extensive application value in meteorology, agriculture, energy, environmental protection and other fields. The wind field time series contains rich wind flow and evolution information, and is also the most convenient raw data for wind field type identification. Most of the existing wind field type iden...

Claims

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