Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Structural Mode Recognition Method Based on Computer Vision and Variational Mode Decomposition

A variational modal decomposition, computer vision technology, applied in computer parts, character and pattern recognition, calculation, etc., can solve the problem of frequent modal aliasing, and achieve limited measurement points, high precision, and guaranteed accuracy. Effect

Active Publication Date: 2022-06-03
CHONGQING UNIV
View PDF20 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The commonly used signal processing method is the Empirical Mode Decomposition (EMD), which is based on the concept of instantaneous frequency and intrinsic mode function (IMF), and can decompose the signal into several IMF components, each IMF represents a local part of the signal feature, one of the main disadvantages of this method is the frequent occurrence of mode aliasing

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Structural Mode Recognition Method Based on Computer Vision and Variational Mode Decomposition
  • A Structural Mode Recognition Method Based on Computer Vision and Variational Mode Decomposition
  • A Structural Mode Recognition Method Based on Computer Vision and Variational Mode Decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0052] like figure 1 As shown, the embodiment of the present invention discloses a structural mode identification method based on computer vision and variational mode decomposition, including the following steps:

[0053] S1. Collect a vibration video of the structure, and select a pixel point in the vibration video that meets a preset pixel level as a feature point. The purpose of this step is to select pixels with obvious vibration...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a structural mode recognition method based on computer vision and variational mode decomposition, comprising: collecting vibration video of a structure, and selecting pixel points satisfying a preset pixel level in the vibration video as feature points; using The Farneback dense optical flow algorithm calculates the velocity of each selected feature point; uses scale transformation to calculate the velocity and acceleration of each feature point in the real ground coordinate system, and obtains the acceleration signal of the non-stationary sequence; uses the variational mode decomposition method Noise reduction processing is performed on the acceleration signal; the frequency domain decomposition method is used to identify the acceleration signal after noise reduction processing, and the vibration characteristics of the structure in each mode are obtained. The invention uses the improved optical flow algorithm to calculate and extract the vibration video of the structure in a non-contact manner, so as to realize the real-time, high-efficiency and low-cost detection of the dynamic characteristics of the structure.

Description

technical field [0001] The invention relates to the technical field of structural dynamic testing, and more particularly to a structural mode identification method based on computer vision and variational mode decomposition. Background technique [0002] At present, the commonly used structural dynamic detection methods at home and abroad include free vibration method, resonance method and pulsation method. The free vibration method is a test method to measure the dynamic characteristics of the structure by subjecting it to the impact load to generate free vibration. The resonance law is to use a special exciter to apply a simple harmonic dynamic load to the structure, so that the structure produces a constant forced simple harmonic vibration, and uses the resonance phenomenon to identify the modal parameters of the structure. Both the free vibration method and the resonance method require artificial input of vibration signals to the structure, so the vibration excitation e...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06V20/40G06V10/34G06N3/04
CPCG06V20/46G06V10/34G06N3/045G06F2218/08Y02T90/00
Inventor 郭飞羽何元钧李雨桐
Owner CHONGQING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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