Some theoretical aspects of estimation of damage to products by using acoustic emission signals

被引：0
|
作者：
O. E. Andreikiv
V. R. Skal’s’kyi
O. M. Serhienko
S. E. Kovchyk
机构：
[1] Ukrainian Academy of Sciences,Karpenko Physicomechanical Institute
来源：
Materials Science | 2000年 / 36卷
关键词：
Longitudinal Wave; Stress Intensity Factor; Acoustic Emission; Acoustic Signal; Acoustic Emission Signal;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We conceptually discuss the methodological aspects of the application of the phenomenon of acoustic emission to the diagnostics and non-destructive testing of products and their elements and units and offer approaches to the theoretical and experimental study of the interrelation of parameters of acoustic emission signals with the characteristics of nucleation and propagation of crack-like defects. We propose to use new techniques for determination of the coordinates of defects, their geometrical size, and their orientation in real constructions on the basis of the results of research and the new technical means developed for realization of these techniques. Prospects of the application of these techniques to non-destructive testing and technical diagnostics of products at the stage of their manufacture, when starring tests, and during operation are justified.
引用
收藏
页码：252 / 261
页数：9
相关论文
共 50 条
  • [1] Some theoretical aspects of estimation of damage to products by using acoustic emission signals
    Andreikiv, OE
    Skal's'kyi, VR
    Serhienko, OM
    Kovchyk, SE
    MATERIALS SCIENCE, 2000, 36 (02) : 252 - 261
  • [2] Estimation of Damage Location of Rock Based on Denoised Acoustic Emission Signals Using Wavelet Packet Algorithm
    Kang, Yumei
    Ni, Pengpeng
    Fu, Chuang
    Zhang, Penghai
    GEOTECHNICAL TESTING JOURNAL, 2017, 40 (06): : 963 - 977
  • [3] Time-delay estimation of acoustic emission signals using ICA
    Kosel, T
    Grabec, I
    Kosel, F
    ULTRASONICS, 2002, 40 (1-8) : 303 - 306
  • [4] Tiny Machine Learning for Damage Classification in Concrete Using Acoustic Emission Signals
    Adin, Veysi
    Zhang, Yuxuan
    Oelmann, Bengt
    Bader, Sebastian
    2023 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, I2MTC, 2023,
  • [5] Damage Identification in Concrete Using Instantaneous Dominant Frequency of Acoustic Emission Signals
    Gu, Aijun
    Liu, Zefeng
    Pan, Rui
    Xu, Bo
    BUILDINGS, 2024, 14 (12)
  • [6] Feature extraction of composite damage on acoustic emission signals
    Qin, H.W. (hwq402@163.com), 2013, Universitas Ahmad Dahlan (11):
  • [7] Quantitative damage estimation of concrete by acoustic emission
    Ohtsu, M
    Watanabe, H
    CONSTRUCTION AND BUILDING MATERIALS, 2001, 15 (5-6) : 217 - 224
  • [8] Model-based surface roughness estimation using acoustic emission signals
    Feng, P.
    Borghesani, P.
    Smith, W. A.
    Peng, Z.
    TRIBOLOGY INTERNATIONAL, 2020, 144
  • [9] A model for acoustic emission signals and burst occurrence estimation
    Perez, LV
    DAttellis, CE
    Ruzzante, JE
    INSIGHT, 1997, 39 (02) : 83 - 87
  • [10] The Possibilities of Using Time-Frequency Analysis for Some Acoustic Emission Signals
    Bejger, Artur
    Burnos, Tomasz
    SCIENTIFIC JOURNALS OF THE MARITIME UNIVERSITY OF SZCZECIN-ZESZYTY NAUKOWE AKADEMII MORSKIEJ W SZCZECINIE, 2005, 5 (77): : 55 - 64
12345