A novel Bayesian approach to acoustic emission data analysis

被引：25
|
作者：
Agletdinov, E. [1 ]
Pomponi, E. [2 ]
Merson, D. [1 ]
Vinogradov, A. [1 ,3 ]
机构：
[1] Togliatti State Univ, Inst Adv Technol, Tolyatti 445667, Russia
[2] CGnal Spa, Dept Data Sci & Analyt, Via Carducci 38, I-20122 Milan, Italy
[3] Norwegian Univ Sci & Technol NTNU, Dept Engn Design & Mat, N-7491 Trondheim, Norway
来源：
ULTRASONICS | 2016年 / 72卷
关键词：
Bayesian probability; Signal processing; Random time-series; Acoustic emission; CORRODED GALVANIZED STEEL; TIME-DELAY ESTIMATION; TIN COATINGS; PATTERN-RECOGNITION; NEURAL-NETWORKS; AE SIGNALS; SCRATCH; MECHANISMS; IDENTIFICATION; DEFORMATION;
D O I：
10.1016/j.ultras.2016.07.014
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Acoustic emission (AE) technique is a popular tool for materials characterization and non-destructive testing. Originating from the stochastic motion of defects in solids, AE is a random process by nature. The challenging problem arises whenever an attempt is made to identify specific points corresponding to the changes in the trends in the fluctuating AE time series. A general Bayesian framework is proposed for the analysis of AE time series, aiming at automated finding the breakpoints signaling a crossover in the dynamics of underlying AE sources. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：89 / 94
页数：6
相关论文
共 50 条
  • [11] A Bayesian Approach for Localization of Acoustic Emission Source in Plate-Like Structures
    Yan, Gang
    Tang, Jianfei
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [12] A Variational Bayesian Clustering Approach to Acoustic Emission Interpretation Including Soft Labels
    Nkogo, Martin Mbarga
    Ramasso, Emmanuel
    Le Moal, Patrice
    Bourbon, Gilles
    BELIEF FUNCTIONS: THEORY AND APPLICATIONS (BELIEF 2022), 2022, 13506 : 23 - 32
  • [13] An Alternative Approach for Representing the Data Provided by the Acoustic Emission Technique
    Triantis, Dimos
    Kourkoulis, Stavros K.
    ROCK MECHANICS AND ROCK ENGINEERING, 2018, 51 (08) : 2433 - 2438
  • [14] An Alternative Approach for Representing the Data Provided by the Acoustic Emission Technique
    Dimos Triantis
    Stavros K. Kourkoulis
    Rock Mechanics and Rock Engineering, 2018, 51 : 2433 - 2438
  • [15] Bayesian Inference Approach to Room-Acoustic Modal Analysis
    Henderson, Wesley
    Goggans, Paul
    Xiang, Ning
    Botts, Jonathan
    BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING, 2013, 1553 : 38 - 45
  • [16] Data analysis with Bayesian networks: A Bootstrap approach
    Friedman, N
    Goldszmidt, M
    Wyner, A
    UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1999, : 196 - 205
  • [17] ANALYSIS OF CONSUMER PURCHASE DATA - BAYESIAN APPROACH
    MORRISON, DG
    IMR-INDUSTRIAL MANAGEMENT REVIEW, 1968, 9 (02): : 31 - 40
  • [18] A coherent approach to Bayesian Data Envelopment Analysis
    Tsionas, Mike G.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2020, 281 (02) : 439 - 448
  • [19] A Bayesian Modeling Approach to Fuzzy Data Analysis
    Calcagni, Antonio
    Grzegorzewski, Przemyslaw
    COMBINING, MODELLING AND ANALYZING IMPRECISION, RANDOMNESS AND DEPENDENCE, SMPS 2024, 2024, 1458 : 59 - 66
  • [20] Statistical analysis of microarray data: a Bayesian approach
    Gottardo, R
    Pannucci, JA
    Kuske, CR
    Brettin, T
    BIOSTATISTICS, 2003, 4 (04) : 597 - 620
12345