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Multichannel detection of acoustic emissions and localization of the source by using a hybrid programming system

机译:通过使用混合编程系统多声道检测声发射和源的定位

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摘要

The detection of acoustic emissions with multiple channels and different kind of sensors (ultrasound electronic sensors and optical fiber sensors) is presented. The source localization based on the times of arrival is also carried out and different strategies for solving the location equations are compared. The most efficient strategy in terms of computational and complexity costs versus performance has been selected and the error propagation is analyzed. The errors of the acoustic emission source location (localization process) are evaluated from the errors of the times of arrival (detection process). For that, a hybrid programming architecture is proposed. It is formed by a virtual instrumentation system for the acquisition and the detection of multiple acoustic channels and an algorithms-oriented programming system for the implementation of the localization techniques (back-propagation and multiple-source separation algorithms could also be implemented in this system). Finally the communication between both systems is performed by a packet transfer protocol that allows remote operation (e.g. a local monitoring and a remote analysis and diagnosis).
机译:提出了利用多个通道和不同类型的传感器(超声波电子传感器和光纤传感器)检测声发射的方法。还进行了基于到达时间的源定位,并比较了求解位置方程的不同策略。在计算和复杂性成本与性能之间选择了最有效的策略,并对错误传播进行了分析。根据到达时间的误差(检测过程)评估声发射源位置的误差(定位过程)。为此,提出了一种混合编程架构。它由一个用于采集和检测多个声波通道的虚拟仪器系统和一个用于实现定位技术的面向算法的编程系统组成(在该系统中也可以实现反向传播和多源分离算法) 。最后,两个系统之间的通信由允许远程操作(例如,本地监视以及远程分析和诊断)的分组传输协议执行。

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