Detecting pipe changes via acoustic matched field processing
Detecting pipe changes via acoustic matched field processing
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DOI：
10.1016/j.apacoust.2008.08.007
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发表时间：
2009-05-01
影响因子：
3.4
通讯作者：
Bin Ali, M. T.
中科院分区：
文献类型：
--
作者：
Tolstoy, A.;Horoshenkov, K. V.;Bin Ali, M. T.
检测管道异常（如侵入）可能具有挑战性。然而，在给定接收器“阵列”的频率范围和时间间隔内测量的复杂声场中，可以识别出细微的变化。特别是，对于两个接收器，可以通过匹配场处理（MFP）相干地处理信号，以推断是否有变化，例如相对于先前测量的未受干扰的场是否有新的入侵。没有所需的场的声学建模，仅应用了简单的线性处理器，并且在此演示中仅使用了测试数据（五个场景）。使用MFP +两个（或更多）麦克风的一个关键优势是不需要仔细测量绝对声级。(C) 2008 Elsevier Ltd版权所有。
Detecting pipe irregularities such as intrusions can be challenging. However, subtle changes can be identified in the complex acoustic fields measured over a range of frequencies and over a time interval given an "array" of receivers. In particular, for two receivers one can coherently process the signals via matched field processing (MFP) to infer whether or not there have been changes such as new intrusions relative to undisturbed fields measured earlier. There is no acoustic modelling of the fields required, only the simple linear processor is applied, and only test data (five scenarios) are used in this demonstration. A key advantage to using MFP plus two (or more) microphones is that absolute sound levels need not be carefully measured. (C) 2008 Elsevier Ltd. All rights reserved.