Structural mode identification method based on computer vision and variational mode decomposition
A technology of variational mode decomposition and computer vision, which is applied to computer components, character and pattern recognition, calculation, etc., can solve the problems of frequent modal aliasing, etc., and achieve limited measurement points, ensure accuracy and low cost Detection effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0052] Such as figure 1 As shown, the embodiment of the present invention discloses a structural mode recognition method based on computer vision and variational mode decomposition, including the following steps:
[0053] S1. Collect the vibration video of the structure, and select the pixel points satisfying the preset pixel level in the vibration video as feature points. The purpose of this step is to select pixels with obvious vibration as feature points t...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com