Comparison of Time Delay Estimation Methods Used for Fast Pipeline Leak Localization in High-Noise Environment

Pipeline networks are one of the most efficient and extensively used means for transporting fluid products. However, they suffer from a serious problem that threatens their normal and secure operation, which is the occurrence of leaks. In this article, an acoustic technique for the localization of l...

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Main Authors: Georgios-Panagiotis Kousiopoulos, Georgios-Napoleon Papastavrou, Dimitrios Kampelopoulos, Nikolaos Karagiorgos, Spiros Nikolaidis
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Technologies
Subjects:
Online Access:https://www.mdpi.com/2227-7080/8/2/27
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author Georgios-Panagiotis Kousiopoulos
Georgios-Napoleon Papastavrou
Dimitrios Kampelopoulos
Nikolaos Karagiorgos
Spiros Nikolaidis
author_facet Georgios-Panagiotis Kousiopoulos
Georgios-Napoleon Papastavrou
Dimitrios Kampelopoulos
Nikolaos Karagiorgos
Spiros Nikolaidis
author_sort Georgios-Panagiotis Kousiopoulos
collection DOAJ
description Pipeline networks are one of the most efficient and extensively used means for transporting fluid products. However, they suffer from a serious problem that threatens their normal and secure operation, which is the occurrence of leaks. In this article, an acoustic technique for the localization of leaks in pipelines placed in the high-noise environment of an oil refinery is described. This technique is based on the estimation of the time delay between the moments at which an acoustic signal produced by a leak reaches two sensors mounted on the external surface of the pipeline at a certain distance between them. For this reason, three different time delay estimation methods, based on the cross-correlation procedure, are studied in this article. These methods are tested for their accuracy in the estimation of the leak position, as well as for their ability to work with measurements of short duration and the results are compared. This is important because the acquisition duration affects directly the response time of the leak localization system, which is a crucial parameter for the targeted applications. Finally, an algorithm for fast and accurate identification of the leak point is proposed.
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spelling doaj.art-264c5176b14a4381b64a6119f8e2fa482023-11-20T00:27:53ZengMDPI AGTechnologies2227-70802020-05-01822710.3390/technologies8020027Comparison of Time Delay Estimation Methods Used for Fast Pipeline Leak Localization in High-Noise EnvironmentGeorgios-Panagiotis Kousiopoulos0Georgios-Napoleon Papastavrou1Dimitrios Kampelopoulos2Nikolaos Karagiorgos3Spiros Nikolaidis4Physics Department, University Campus, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreecePhysics Department, University Campus, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreecePhysics Department, University Campus, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreecePhysics Department, University Campus, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreecePhysics Department, University Campus, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreecePipeline networks are one of the most efficient and extensively used means for transporting fluid products. However, they suffer from a serious problem that threatens their normal and secure operation, which is the occurrence of leaks. In this article, an acoustic technique for the localization of leaks in pipelines placed in the high-noise environment of an oil refinery is described. This technique is based on the estimation of the time delay between the moments at which an acoustic signal produced by a leak reaches two sensors mounted on the external surface of the pipeline at a certain distance between them. For this reason, three different time delay estimation methods, based on the cross-correlation procedure, are studied in this article. These methods are tested for their accuracy in the estimation of the leak position, as well as for their ability to work with measurements of short duration and the results are compared. This is important because the acquisition duration affects directly the response time of the leak localization system, which is a crucial parameter for the targeted applications. Finally, an algorithm for fast and accurate identification of the leak point is proposed.https://www.mdpi.com/2227-7080/8/2/27pipeline networksleak localizationacoustic signalscross-correlationresponse timemeasurement duration
spellingShingle Georgios-Panagiotis Kousiopoulos
Georgios-Napoleon Papastavrou
Dimitrios Kampelopoulos
Nikolaos Karagiorgos
Spiros Nikolaidis
Comparison of Time Delay Estimation Methods Used for Fast Pipeline Leak Localization in High-Noise Environment
Technologies
pipeline networks
leak localization
acoustic signals
cross-correlation
response time
measurement duration
title Comparison of Time Delay Estimation Methods Used for Fast Pipeline Leak Localization in High-Noise Environment
title_full Comparison of Time Delay Estimation Methods Used for Fast Pipeline Leak Localization in High-Noise Environment
title_fullStr Comparison of Time Delay Estimation Methods Used for Fast Pipeline Leak Localization in High-Noise Environment
title_full_unstemmed Comparison of Time Delay Estimation Methods Used for Fast Pipeline Leak Localization in High-Noise Environment
title_short Comparison of Time Delay Estimation Methods Used for Fast Pipeline Leak Localization in High-Noise Environment
title_sort comparison of time delay estimation methods used for fast pipeline leak localization in high noise environment
topic pipeline networks
leak localization
acoustic signals
cross-correlation
response time
measurement duration
url https://www.mdpi.com/2227-7080/8/2/27
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AT georgiosnapoleonpapastavrou comparisonoftimedelayestimationmethodsusedforfastpipelineleaklocalizationinhighnoiseenvironment
AT dimitrioskampelopoulos comparisonoftimedelayestimationmethodsusedforfastpipelineleaklocalizationinhighnoiseenvironment
AT nikolaoskaragiorgos comparisonoftimedelayestimationmethodsusedforfastpipelineleaklocalizationinhighnoiseenvironment
AT spirosnikolaidis comparisonoftimedelayestimationmethodsusedforfastpipelineleaklocalizationinhighnoiseenvironment