Leakages in pipelines can cause severe hazards to industries, the environment and people. For the purpose of an accurate identification of the leakage location, a transient-based leakage detection method using multiple signal classification (MUSIC)-like is applied to this paper. The localization is achieved by a one-dimensional search of leak location along the pipe, which means it involves low computational cost. The performance of the MUSIC-Like method in the cases of a single leak and multiple leaks is discussed by comparison with three spectral-based methods. In the single-leak case, the MUSIC-like algorithm provides precise localization estimation even for a high level of noise. For the multiple-leak case, the MUSIC-like method is superior to the other three methods. It is capable of identifying all leaks where the leak-to-leak distance is less than half the shortest probing wavelength. Therefore, the MUSIC-like method has an excellent performance in leak detection and location.

管道泄漏会严重危害工业，环境和人员。为了准确识别泄漏位置，本文采用了一种类似多信号分类（MUSIC）的基于瞬态的泄漏检测方法。通过沿管道泄漏位置的一维搜索来实现定位，这意味着计算成本较低。通过与三种基于频谱的方法进行比较，讨论了MUSIC-Like方法在单次泄漏和多次泄漏情况下的性能。在单泄漏情况下，类似于MUSIC的算法即使在噪声很高的情况下也可以提供精确的定位估计。对于多泄漏情况，类似于MUSIC的方法优于其他三种方法。它能够识别所有泄漏至泄漏距离小于最短探测波长一半的泄漏。因此，类似MUSIC的方法在泄漏检测和定位方面具有优异的性能。