ABSTRACT This paper presents a probabilistic approach to continuously track the sequential movement of the multiple impacts considered as acoustic emission (AE) sources. Continuous wavelet transform (CWT) analysis is used to determine the time of arrival (TOA) of the different AE hits by taking into account systematic errors due to the Heisenberg uncertainty. Then, the Extended Kalman Filter (EKF) is applied to simultaneously estimate the locations of impact points and the group velocity of the involved Lamb waves at a specific frequency. To validate the performance of the proposed probabilistic approach, including uncertainties from modeling error and measurement noise, experiments on a copper panel are performed using AE hits generated by Pencil-Lead Breaks (PLBs). Measurements help appreciate robustness of the proposed approach with consequent potential applications in structural health monitoring of industrial parts and structures.

中文翻译：

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用于估计和跟踪板状结构多重撞击位置的自适应算法

摘要本文提出了一种概率方法来连续跟踪被认为是声发射 (AE) 源的多次撞击的顺序运动。连续小波变换 (CWT) 分析用于通过考虑由海森堡不确定性引起的系统误差来确定不同 AE 命中的到达时间 (TOA)。然后，应用扩展卡尔曼滤波器（EKF）同时估计撞击点的位置和特定频率下所涉及兰姆波的群速度。为了验证所提出的概率方法的性能，包括来自建模误差和测量噪声的不确定性，使用铅笔引线断裂 (PLB) 生成的 AE 命中在铜板上进行实验。