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Experimental study of acoustic emission localization based on wavelet noise reduction mutual-correlation time-difference algorithm and adaptive convergence time-difference algorithm

Published: 26 December 2023 Publication History

Abstract

In the operational process of harbor machinery, the structure of harbor machinery is vulnerable to external loads. When material damage occurs, it compromises the safety performance and working efficiency of the machinery. This study explores a method for localizing damage sources in harbor machinery structures using acoustic emission detection technology. The aim is to provide theoretical support for dynamic detection of acoustic emissions in the entire operation of harbor machinery. Through experiments involving broken lead simulation, this paper identifies the acoustic emission sources in one-dimensional I-beams and two-dimensional plane steel plates within the model of a harbor machinery shore bridge. It analyzes the localization errors associated with the traditional time-difference localization method and proposes two improved algorithms. The first is a wavelet noise reduction-mutual correlation time-difference localization algorithm designed for one-dimensional linear structures, while the second is an adaptive convergence time-difference localization algorithm suitable for two-dimensional planar structures. These algorithms address the challenges posed by noise and dispersion phenomena in the traditional time-difference localization method, which often lead to inaccurate localization results. By comparing the positioning outcomes, it is demonstrated that the two improved algorithms effectively reduce positioning errors and enhance accuracy. The experimental findings provide valuable reference data for employing acoustic emission detection technology in the dynamic detection of the structural condition of shore bridges.

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Chengjie Zhang. Research on Acoustic Emission Signal Acquisition System Based on FPGA-PCIE[D]. North Central University,2022.
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  1. Experimental study of acoustic emission localization based on wavelet noise reduction mutual-correlation time-difference algorithm and adaptive convergence time-difference algorithm

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      WSSE '23: Proceedings of the 2023 5th World Symposium on Software Engineering
      September 2023
      352 pages
      ISBN:9798400708053
      DOI:10.1145/3631991
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      Published: 26 December 2023

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      Author Tags

      1. acoustic emission
      2. adaptive convergence time-difference algorithm
      3. harbor detection
      4. optimized time-difference algorithm
      5. sound source localization
      6. wavelet noise reduction mutual-correlation time -difference localization algorithm

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