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ICA (independent component analysis)-based EMD (empirical mode decomposition) improvement process IMF (intrinsic mode function) judgment method

A judgment method and algorithm technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of enhancing accuracy, improving signal-to-noise ratio and anti-interference ability

Inactive Publication Date: 2013-01-02
FUZHOU UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for judging IMF in the improved EMD process based on ICA, which is conducive to solving the problem of too many false modes and the judgment of real IMF in the improved EMD process of frequency band filtering, so as to realize the automatic separation of real IMF

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  • ICA (independent component analysis)-based EMD (empirical mode decomposition) improvement process IMF (intrinsic mode function) judgment method
  • ICA (independent component analysis)-based EMD (empirical mode decomposition) improvement process IMF (intrinsic mode function) judgment method
  • ICA (independent component analysis)-based EMD (empirical mode decomposition) improvement process IMF (intrinsic mode function) judgment method

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[0015] The present invention is based on the ICA-based improved IMF determination method in the EMD process, aiming at the problem of too many false modes and the determination of real IMF when the frequency-band filter improves the classic EMD mode decomposition ability is insufficient, and uses the FastICA algorithm in the ICA to eliminate the frequency-band filter and improve the EMD process The real IMF components are automatically separated from the excessive spurious modes generated in the model. like figure 1 As shown, the method includes the following steps:

[0016] Step 1: First, improve the EMD process on the measured structural response signal, that is, use FFT to roughly estimate the frequency range of the signal, and make the signal pass through band-pass filtering in different frequency bands to decompose the wide-band signal into several narrow-band signals; then use EMD to separate For each narrowband signal x ( t ) to decompose to get the input matrix of I...

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Abstract

The invention relates to a novel ICA (independent component analysis)-based EMD (empirical mode decomposition) improvement process IMF (intrinsic mode function) judgment method. Aiming at the problem of excessive IMF components generated in the frequency band filtering EMD improvement process, the method introduces ICA into the EMD improvement process to automatically separate real IMF components. The method includes: improving EMD to decompose a structural response signal to obtain IMFs of each frequency band; and respectively taking the IMFs as an input matrix, and using a FastICA algorithm in the ICA for separation to automatically separate the real IMF out. The method can well process multi-degree-of-freedom, non-linear and unsteady-state response signals, can be combined with other methods (such as Hilbert transform) for modal parameter recognition, can be used for signal processing and modal parameter recognition in the fields of civil engineering, aerospace, automatic control, mechanical engineering and the like, and has the advantages of increase of signal to noise ratio of data, anti-jamming capability and the like.

Description

technical field [0001] The invention relates to the technical field of time-frequency domain analysis of structural vibration response, in particular to a new ICA-based IMF (intrinsic mode function) judging method in the improved EMD process. Background technique [0002] Since the EMD method was formally proposed in 1998, it has been widely used in various fields, but the EMD method has the phenomenon of modal aliasing, which greatly limits its practical application. The emergence of mode aliasing phenomenon is related to the algorithm of EMD itself on the one hand, and is also affected by the frequency characteristics of the original signal on the other hand. Huang once proposed a method of interruption detection to solve the phenomenon of modal aliasing, that is, directly observe the results, and re-decompose if modal aliasing occurs. This method requires human posterior judgment. In 2009, Huang's own research group proposed the overall average empirical mode decompositi...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 姜绍飞付春吴兆旗
Owner FUZHOU UNIV
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