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Detecting Pipe Changes Via Acoustic Matched Field Processing

机译:通过声场匹配检测管道变化

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摘要

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.
机译:检测管道不规则(例如侵入)可能具有挑战性。但是,在给定接收器“阵列”的情况下,可以在一定频率范围内和一段时间间隔内测得的复声场中识别出细微的变化。特别地,对于两个接收器,一个人可以通过匹配场处理(MFP)相干地处理信号,以推断是否存在诸如相对于先前测得的不受干扰场的新入侵之类的变化。在本演示中,没有所需字段的声学建模,仅应用了简单的线性处理器,并且仅使用了测试数据(五个方案)。使用MFP加上两个(或更多)麦克风的主要优点是不需要仔细测量绝对声级。

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