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A Multiple Damage Identification Method Based on Bayesian Update 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 achieve the effect of reducing errors and overcoming positioning difficulties

Active Publication Date: 2020-09-11
哈尔滨工业大学人工智能研究院有限公司
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  • Abstract
  • Description
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  • Application Information

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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

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  • A Multiple Damage Identification Method Based on Bayesian Update and Gibbs Sampling
  • A Multiple Damage Identification Method Based on Bayesian Update and Gibbs Sampling
  • A Multiple Damage Identification Method Based on Bayesian Update and Gibbs Sampling

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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...

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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

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Application Information

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Patent Type & Authority Patents(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
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