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线性神经网络及模态声发射在时差定位中的应用 被引量:2

Linear neural network and modal acoustic emission in TDOA location
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摘要 分析了影响时差定位法精度的主要因素,将线性神经网络方法和模态声发射理论应用于突发声发射定位中,并在板结构上进行实验验证。实验结果表明,达到了精确定位的预期要求,定位不确定度由1.89%降至0.45%,较好地满足了工程实际需要。该方法不仅适用于突发声发射时差定位,也为连续声发射时差定位奠定了基础。 By analyzing the major factor affecting accuracy in TDOA location,the method of linear network and modal acoustic emission is applied to the plate experiment.The experimental result indicates that the expected requirements of precise location is achieved,and the uncertainty reduces to 0.45% from 1.89%.The method proposed in this article could be not only used for the location of discrete acoustic emission,but also the location of continuous acoustic emission.
出处 《声学技术》 CSCD 2010年第6期569-572,共4页 Technical Acoustics
关键词 时差定位 模态声发射 线性神经网络 突发声发射 TDOA location modal acoustic emission linear neural network discrete acoustic emission
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参考文献8

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