2020
DOI: 10.2991/ijndc.k.200129.001
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Comparative Study of Basic Time Domain Time-Delay Estimators for Locating Leaks in Pipelines

Abstract: The article is devoted to a survey of the known basic Time-Delay Estimation (TDE) methods in the application for detecting fluid leaks in pipeline transport and distribution systems. In the paper, both active and passive estimation methods are considered with respect to the presented generalized classification. However, the main attention is paid to the study of passive methods and their algorithmic implementation. Among the passive methods the Absolute Difference Function (ADF) minimizing algorithms, the Basi… Show more

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Cited by 8 publications
(2 citation statements)
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“…Such problem formulation is common despite this simplification mentioned above. There are many known methods for solving the TDE problem [18] and the correlation method is most widely used among them. In accordance with the algorithm described in [19] at the initial stage the analyzed signal is divided into Q segments, while the number of samples in a segment is N. Consequently, the number of segments does not exceed Q ≤ L/N.…”
Section: Windowed Cross-correlationmentioning
confidence: 99%
“…Such problem formulation is common despite this simplification mentioned above. There are many known methods for solving the TDE problem [18] and the correlation method is most widely used among them. In accordance with the algorithm described in [19] at the initial stage the analyzed signal is divided into Q segments, while the number of samples in a segment is N. Consequently, the number of segments does not exceed Q ≤ L/N.…”
Section: Windowed Cross-correlationmentioning
confidence: 99%
“…At present different approaches for TDE are known. A number of reviews have been devoted to the classification and systematization of TDE algorithms for numerous and diverse applications, in particular [ 8 , 12 , 13 , 14 , 15 ]. This paper compares well-known but seldom used TDE algorithms based on estimating the phase shift (GPS TDE) between signals.…”
Section: Introductionmentioning
confidence: 99%