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Acoustic emission signal feature extraction and crack damage identification method based on information entropy theory

A technology of acoustic emission signal and feature extraction, which is applied in the fields of new acoustic emission parameters, acoustic emission entropy, acoustic emission signal feature extraction and crack damage identification based on information entropy theory, and can solve the problems that cannot reflect the chaotic characteristics of acoustic emission waveform and acoustic emission The monitoring environment is not easy to control, and the damage evaluation of acoustic emission parameters is limited, so as to achieve the effect of important engineering application value, effective identification and evaluation, and excellent anti-noise ability

Pending Publication Date: 2022-04-22
XI AN JIAOTONG UNIV
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Problems solved by technology

If the threshold is not set properly, or the acoustic emission monitoring environment is not easy to control (such as a high-noise environment), it will inevitably affect the size of these parameters, and then directly affect the damage assessment results
On the other hand, although the amplitude and RMS voltage have nothing to do with the threshold value of the acoustic emission system, they can only reflect the absolute intensity of the acoustic emission waveform, and cannot reflect the chaotic characteristics of the acoustic emission waveform caused by material damage
The above factors greatly limit the development of damage assessment based on AE parameters, as well as the industrial application of AE monitoring

Method used

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  • Acoustic emission signal feature extraction and crack damage identification method based on information entropy theory
  • Acoustic emission signal feature extraction and crack damage identification method based on information entropy theory
  • Acoustic emission signal feature extraction and crack damage identification method based on information entropy theory

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Embodiment

[0043] Such as figure 2As shown, in the fatigue crack growth experiment of high-strength steel, the crack starts to grow by loading the fatigue load, and the crack growth size is recorded. At the same time, the acoustic emission sensor is used to record the acoustic emission waveform during the crack growth process, and the waveform data is imported into the computer. to extract feature parameters.

[0044] combined with image 3 ,use figure 2 The acoustic emission data obtained from the monitoring of the crack growth experiment is shown, and the extraction process of the acoustic emission entropy and the damage identification results based on the acoustic emission entropy are described in detail. The specific process is as follows:

[0045] Step 1: Use acoustic emission technology to carry out structural damage monitoring, record acoustic emission waveforms, and obtain the data of each acoustic emission waveform in a sequence of arrival times;

[0046] Step 2: Transform...

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Abstract

The invention discloses an acoustic emission signal feature extraction and crack damage identification method based on an information entropy theory, which applies the information entropy theory to an extraction process of acoustic emission feature parameters, and provides a new acoustic emission parameter, namely acoustic emission entropy, capable of accurately and effectively identifying material crack damage. And a material crack damage identification method based on the acoustic emission entropy is established. The acoustic emission entropy is not only unrelated to a manually set acoustic emission system threshold value, but also can reflect the internal chaotic characteristic or uncertainty of an acoustic emission waveform, can accurately and effectively identify and evaluate different crack damage states of a material, also has excellent anti-noise capability, and has huge development and application potential in acoustic emission health monitoring.

Description

technical field [0001] The invention belongs to the field of acoustic emission monitoring and damage identification, in particular to a method for feature extraction of acoustic emission signals and crack damage identification based on information entropy theory. More specifically, it involves a new acoustic emission parameter—acoustic emission entropy—that can accurately and effectively identify material damage. Background technique [0002] Acoustic Emission Technology (AET) is an important monitoring technology in Structural Health Monitoring (SHM). Compared with traditional non-destructive testing techniques such as ultrasound, ray, and eddy current, acoustic emission technology has been gradually applied to various pressure vessels due to its unique advantages of being able to detect dynamic defects, realize long-term online monitoring, and evaluate structural integrity. and pipeline health monitoring and damage assessment. However, the key problem and challenge faced...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/14G01N29/44
CPCG01N29/14G01N29/4454G01N2291/023
Inventor 柴孟瑜段权张早校
Owner XI AN JIAOTONG UNIV
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