Modal parameter recognizing method based on multi-input multi-output signal noise reduction

A modal parameter identification and multi-output technology, applied in the field of signal processing, can solve the problems of difficulty in correctly identifying the real modal parameters of the structure, reduced computational efficiency, and difficulty.

Inactive Publication Date: 2013-08-14
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

However, the noise mode cannot be completely eliminated by the stability diagram method, especially as the order of the model increases, some false modes tend to tend to be stable, and it is difficult to correctly identify the real modal parameters of the structure with the stability diagram
Moreover, the stabi

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  • Modal parameter recognizing method based on multi-input multi-output signal noise reduction

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Embodiment Construction

[0017] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways defined and covered by the claims.

[0018] Such as figure 1 As shown, the modal parameter identification method based on MIMO signal noise reduction in the present invention comprises the following steps:

[0019] Step 1, performing block-Hankel matrix transformation on the noisy multi-point impulse response signal to obtain the first block-Hankel matrix;

[0020] Step 2, using a structural low-rank approximation to process the first matrix according to the rank of the first matrix to obtain the first non-block-Hankel matrix after the low-rank approximation;

[0021] Step 3, the elements of each block in the second matrix are replaced by the mathematical average of the block elements on the anti-diagonal line where it is located, and the second block-Hankel matrix is ​​obtained; pref...

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Abstract

The invention relates to a modal parameter recognizing method based on multi-input multi-output signal noise reduction. The method is characterized by comprising the steps of step 1, performing block-Hankel matrix conversion on noise-containing multi-point pulse responding signals to obtain a first block-Hankel matrix; step 2, processing the first matrix by utilizing structural low rank approximating according to the rank of the first matrix to obtain a first non-block-Hankel matrix after the low rank approximating; step 3, replacing the elements of each block in a second matrix with math average values of the block elements on a back-diagonal to obtain a second block-Hankel matrix; step 4, repeating the steps 2 and 3 until convergence, thus obtaining the noise-reduced multi-point pulse responding signal; and step 5, performing modal parameter recognizing. The modal parameter recognizing method based on multi-input multi-output signal noise reduction can save machine time and improve recognizing accuracy.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a modal parameter identification method based on multiple-input multiple-output signal noise reduction. Background technique [0002] Traditional modal testing and analysis is based on the input and output data of the system, from which the frequency response function (frequency domain) or impulse response function (time domain) is estimated, and then the modal parameters are identified. However, for actual large-scale and complex structures, artificial excitation (input) is not an easy task, and the implementation of experiments is difficult and costly, and the input information of the structural system is often impossible to obtain, so the output response information can only be used to determine the modal parameters. identify. [0003] Based on the number of input and output reference points, it is divided into single-input single-output (SISO), single-input multiple-output (...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 包兴先
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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