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Deep learning-based health detection device and method for radome structure

A monitoring equipment and deep learning technology, applied in the testing of machines/structural components, vibration testing, measuring devices, etc., can solve the problems of being easily affected by environmental noise, unstable performance of structural health quantitative analysis, etc., and achieve accurate classification and identification High accuracy, high sensitivity, comprehensive collection of effects

Inactive Publication Date: 2021-06-22
上海盛磊信息科技有限公司
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the radome structural health monitoring method based on feature extraction is easily affected by environmental noise, resulting in unstable performance of structural health quantitative analysis

Method used

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  • Deep learning-based health detection device and method for radome structure
  • Deep learning-based health detection device and method for radome structure
  • Deep learning-based health detection device and method for radome structure

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Embodiment Construction

[0046] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0047] The technologies involved in the present invention include:

[0048] (1) Structural health monitoring technology: Structural Health Monitoring refers to the process of damage diagnosis of infrastructure such as civil engineering and mechanical engineering. Specifically, the damage sensitivity features are extracted through the dynamic response of the mechanical system, and these features are quantified and statistically...

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Abstract

The technical scheme of the invention provides a deep learning-based health detection device for a frame-type radome structure. Another technical scheme of the invention is to provide a deep learning-based health detection method for the frame-type radome structure. The method can be used for monitoring and detecting the structural integrity health degree of the frame type radome caused by aging, fatigue, hidden damage, installation defects and the like. The beneficial effects of the invention are that accurate radome structure health degree quantitative information can be provided for users and maintenance personnel; the distributed optical fiber sensing technology is adopted to sense vibration and deformation of the radome, and scientific and quantitative data can be provided for scientific research on the health degree of the radome structure; the method is more stable in performance and high in classification and recognition accuracy.

Description

technical field [0001] The invention relates to a structural health monitoring device and a monitoring method using the device, in particular to a deep learning-based frame-type radome structural health monitoring device and a monitoring method using the device. Background technique [0002] Radomes are usually installed in areas with poor natural environmental conditions. At present, most radome adopts frame structure and FRP composite material, and each unit plate is connected into a rigid structural whole through a special connection mechanism to resist the invasion of wind and rain on the equipment. Because the radome itself is directly eroded by harsh natural environmental factors, the structure and materials will age and loosen. If maintenance is not carried out in time, it will seriously affect its performance against wind and rain, and in severe cases, it will cause damage and collapse. [0003] After the frame-type radome is installed, due to the lack of effective ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M7/02
CPCG01M7/025G01M7/022
Inventor 吕云卿龙晨吕渊高军邹艳王紫
Owner 上海盛磊信息科技有限公司
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