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A Bayesian Approach for Localization of Acoustic Emission Source in Plate-Like Structures

机译：板状结构中声发射源定位的贝叶斯方法

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摘要

This paper presents a Bayesian approach for localizing acoustic emission (AE) source in plate-like structures with consideration of uncertainties from modeling error and measurement noise. A PZT sensor network is deployed to monitor and acquire AE wave signals released by possible damage. By using continuous wavelet transform (CWT), the time-of-flight (TOF) information of the AE wave signals is extracted and measured. With a theoretical TOF model, a Bayesian parameter identification procedure is developed to obtain the AE source location and the wave velocity at a specific frequency simultaneously and meanwhile quantify their uncertainties. It is based on Bayes' theorem that the posterior distributions of the parameters about the AE source location and the wave velocity are obtained by relating their priors and the likelihood of the measured time difference data. A Markov chain Monte Carlo (MCMC) algorithm is employed to draw samples to approximate the posteriors. Also, a data fusion scheme is performed to fuse results identified at multiple frequencies to increase accuracy and reduce uncertainty of the final localization results. Experimental studies on a stiffened aluminum panel with simulated AE events by pensile lead breaks (PLBs) are conducted to validate the proposed Bayesian AE source localization approach.
机译：考虑到建模误差和测量噪声的不确定性，本文提出了一种在板状结构中定位声发射（AE）源的贝叶斯方法。部署了PZT传感器网络以监视和获取可能损坏释放的AE波信号。通过使用连续小波变换（CWT），可以提取和测量AE波信号的飞行时间（TOF）信息。利用理论上的TOF模型，开发了一种贝叶斯参数识别程序，可以同时获得特定频率下的声发射源位置和波速，同时量化它们的不确定性。根据贝叶斯定理，关于声发射源位置和波速的参数的后验分布是通过将它们的先验和测得的时差数据的可能性联系起来而获得的。采用马尔可夫链蒙特卡洛（MCMC）算法绘制样本以近似后验。而且，执行数据融合方案以融合在多个频率处识别的结果，以提高准确性并减少最终定位结果的不确定性。进行了对钢质铝板的模拟研究，该研究通过模拟铅事件（PLB）进行了声发射事件，以验证所提出的贝叶斯声发射源定位方法。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第2期|247839.1-247839.14|共14页
  • 作者

    Yan Gang; Tang Jianfei;

  • 作者单位

    Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Nanjing 210016, Jiangsu, Peoples R China.;

    Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Nanjing 210016, Jiangsu, Peoples R China.;

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