A structure damage identification method based on independent components and a support vector machine

A support vector machine and independent component technology, applied in character and pattern recognition, computer components, instruments, etc., can solve problems such as lack of structural feature information, damage, etc., to achieve effective recognition, repeatability, and good algorithm stability Effect

Active Publication Date: 2019-06-28
中国人民解放军海军勤务学院
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Problems solved by technology

[0013] Existing technologies generally only use any part of them to extract feature quantities, which inevitably results in the loss of some structural feature information, thereby affecting the damage results.

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  • A structure damage identification method based on independent components and a support vector machine
  • A structure damage identification method based on independent components and a support vector machine
  • A structure damage identification method based on independent components and a support vector machine

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Embodiment Construction

[0029] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0030] First, ICA is used to extract the independent components and the mixed matrix that characterize the structural characteristics, and then the first four-order statistical characteristics of each independent component are calculated, and the mixed matrix is ​​deformed into a single column vector. The first four-order statistics and the column vector after the deformation of the mixed matrix are calculated. The combination is used as a structural damage feature index, and finally it is input to a support vector machine (SVM) classifier based on statistical learning theory for damage identification. The algorithm flow of damage identification is as follows figure 1 Shown.

[0031] The specifi...

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Abstract

The invention discloses a structure damage identification method based on independent components and a support vector machine. The method includes: firstly, adopting an ICA to extract an independent component and a hybrid matrix which represent structural characteristics; calculating the front four-order statistical characteristics of each independent component, deforming the hybrid matrix into asingle column vector, taking the combination of the front four-order statistical characteristics and the column vector after the hybrid matrix is deformed as a structural damage characteristic index,and finally inputting the structural damage characteristic index into a support vector machine (SVM) classifier based on a statistical learning theory to carry out damage identification. The method provided by the invention has more effective identifiability and repeatability.

Description

Technical field [0001] The invention relates to the field of structural damage recognition, and more specifically, to a structural damage recognition method based on independent components and support vector machines. Background technique [0002] Feature extraction is a key link in the process of structural damage recognition, which directly affects the design of the structural state classifier and the effect of damage recognition. Because Blind Source Separation (BSS) directly uses time-domain data when extracting structural features, it avoids problems such as power leakage in the frequency-domain method, is convenient for online analysis, and belongs to a parameter-free model. Therefore, in recent years, BSS technology, especially independent The application of Component Analysis (ICA) technology in the extraction of structural features has attracted widespread attention. [0003] ICA-based structural feature extraction methods can be divided into two categories: one is featur...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 韦灼彬高屹曹军宏吴森
Owner 中国人民解放军海军勤务学院
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