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AE Signal Extraction under the Noise

机译:噪声下的AE信号提取

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摘要

According to the technology of using AE signal to extrapolate the acoustic emission source, the multiple signal classification algorithm based on far-field uniform linear array model had been researched in this paper. Combined with the property of AE monitoring, we present that the far-field multiple signal classification algorithm can be applied to estimate the position of the AE signal source. We can basically find the position of the AE signal source by making this algorithm adaptation with roadway shape and workface in the coal mine AE signal detection. The simulation results show that the proposed algorithm could effectively estimate the position of the AE signal source.
机译:根据使用AE信号外推动声发射源的技术,本文研究了基于远场均匀线性阵列模型的多信号分类算法。结合AE监测的性质,我们介绍了远场多信号分类算法可以应用于估计AE信号源的位置。我们可以通过使煤矿AE信号检测中的道路形状和工作面进行该算法适应来找到AE信号源的位置。仿真结果表明,该算法可以有效地估计AE信号源的位置。

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