Ultrasonic guided wave multi-damage identification method based on Bayesian updating and Gibbs sampling

A Gibbs sampling, ultrasonic guided wave technology, applied in the analysis of solids using sonic/ultrasonic/infrasonic waves, material analysis using sonic/ultrasonic/infrasonic waves, and processing response signals of detection, etc., which can solve problems such as identification and positioning difficulties. , to reduce errors and overcome positioning difficulties

Active Publication Date: 2020-03-24
哈尔滨工业大学人工智能研究院有限公司
View PDF8 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to break through the problem that the traditional ultrasonic guided wave has difficulty in identifying and locating multiple damages in the inspected structure, and proposes an ultrasonic guided wave multi-damage identification method based on Bayesian update and Gibbs sampling

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
  • Ultrasonic guided wave multi-damage identification method based on Bayesian updating and Gibbs sampling
  • Ultrasonic guided wave multi-damage identification method based on Bayesian updating and Gibbs sampling
  • Ultrasonic guided wave multi-damage identification method based on Bayesian updating and Gibbs sampling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0082] This embodiment is to apply the present invention to the defect detection of aluminum plate components, figure 1 Schematic diagrams of the equipment, ultrasonic transducers and specimens used in the implementation of this example are given.

[0083] The excitation signal is a narrow-band five-peak sinusoidal signal modulated by a Hanning window, with a center frequency of 110 kHz. The signal excited by the sensor and the corresponding complex Morlet wavelet transform coefficients are as follows: figure 2 As shown, it can be seen that its departure time is 23.3μs. The detection method used is pulse-echo mode. The lossless and lossy signals are obtained by exciting the aluminum plate in the lossless and lossy state, and the residual signal related to the damage can be obtained by subtracting the two.

[0084] The first step is specifically: assuming that the two wave packets in the residual signal are identified as signals directly reflected by two damages, and the ar...

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 provides an ultrasonic guided wave multi-damage identification method based on Bayesian updating and Gibbs sampling. The method comprises: arranging three sensors for ultrasonic guided wave signal acquisition, analyzing each sensor signal to obtain M propagation time ToF of M damage direct scattering, and obtaining M 3 * 1 ToF vectors corresponding to each possible combination mode;performing linearization processing on parameters in the nonlinear damage positioning model based on the guided wave propagation time; solving conditional posterior probability distribution of each parameter by utilizing a Bayesian theorem; using gibbs sampling to sample the conditional posteriori distribution of each parameter, performing Gibbs sampling on a plurality of ToF vector data corresponding to each possible combination mode, and finally, judging the grouping mode with the minimum sample point dispersion degree and reasonable speed parameters to be the finally identified damage position. According to the invention, ultrasonic guided wave multi-damage accurate positioning can be automatically realized based on ToF information of three sensors.

Description

technical field [0001] The invention belongs to the technical field of ultrasonic nondestructive testing, in particular to an ultrasonic guided wave multi-damage identification method based on Bayesian updating and Gibbs sampling. Background technique [0002] Damage identification based on ultrasonic guided waves is widely used in non-destructive testing of structures due to its sensitivity to small damages and the ability to detect a wide range of thin-walled or plate structures. With the help of ultrasonic guided wave non-destructive testing technology, it is possible to effectively detect whether there is a defect or damage in the structure, locate the defect and estimate the size of the defect, so as to evaluate the safety status of the structure and predict the remaining service life. However, the non-destructive testing method based on guided ultrasonic waves still faces many challenges. There are often multiple damages in the structure, and each sensor extracts more ...

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 Applications(China)
IPC IPC(8): G01N29/44G01N29/07
CPCG01N29/07G01N29/4418G01N29/4454G01N2291/011
Inventor 黄永周文松赵美杰李惠
Owner 哈尔滨工业大学人工智能研究院有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap