International Journal of Networked and Distributed Computing

Volume 8, Issue 2, March 2020, Pages 49 - 57

Comparative Study of Basic Time Domain Time-Delay Estimators for Locating Leaks in Pipelines

Authors
Vladimir A. Faerman1, *, Valeriy S. Avramchuk2
1Department of Complex Information Security of Computer Systems, Tomsk State University of Control Systems and Radioelectronics, 40 Lenina pr. Tomsk 634050, Russia
2Department of Automation and Robotics, Tomsk Polytechnic University, 4 Lenina str., Tomsk 634028, Russia
*Corresponding author. Email: faermanvlad@mail.ru
Corresponding Author
Vladimir A. Faerman
Received 14 October 2019, Accepted 22 October 2019, Available Online 18 March 2020.
DOI
10.2991/ijndc.k.200129.001How to use a DOI?
Keywords
Cross-correlation; leak detection; leak noise correlator; passive TDE scenario; phase spectrum; time-delay estimation; time-domain methods
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 Basic Cross-Correlation (BCC) algorithm, the adaptive Least Mean Square (LMS) filtering algorithm are implemented, investigated and compared using a mathematical model of a leak noise signal. All the algorithms are described and the results of the comparison are provided. The advantage of the LMS algorithm in processing the noisy signals is shown. However, its implementation requires choosing a convergence parameter. The necessity in choice of the additional parameter makes the LMS algorithm less practically applicable than the BCC algorithm. The ADF algorithm showed the lowest noise resistivity and can be considered as useful for signal detection, but not for TDE. Some conclusions regarding algorithms’ use for solving the problem of locating leaks are stated. In particular, correlation-based TDE algorithms, as generalized cross-correlation and time-frequency cross-correlation, appear to be the best choice for the implementation of leak detection software.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
8 - 2
Pages
49 - 57
Publication Date
2020/03/18
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
10.2991/ijndc.k.200129.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Vladimir A. Faerman
AU  - Valeriy S. Avramchuk
PY  - 2020
DA  - 2020/03/18
TI  - Comparative Study of Basic Time Domain Time-Delay Estimators for Locating Leaks in Pipelines
JO  - International Journal of Networked and Distributed Computing
SP  - 49
EP  - 57
VL  - 8
IS  - 2
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.k.200129.001
DO  - 10.2991/ijndc.k.200129.001
ID  - Faerman2020
ER  -