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Constant false alarm rate detection of pipeline leakage based on acoustic sensors
During the transportation of oil and gas pipelines, there are many potential factors that can lead to pipeline leakage with serious consequences, making automatic and real-time pipeline leakage detection urgent. In response to the inconvenience of manual detection, constant false alarm rate (CFAR) d...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465504/ https://www.ncbi.nlm.nih.gov/pubmed/37644105 http://dx.doi.org/10.1038/s41598-023-41177-3 |
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author | An, Guorui Huang, Zuheng Li, Yanbing |
author_facet | An, Guorui Huang, Zuheng Li, Yanbing |
author_sort | An, Guorui |
collection | PubMed |
description | During the transportation of oil and gas pipelines, there are many potential factors that can lead to pipeline leakage with serious consequences, making automatic and real-time pipeline leakage detection urgent. In response to the inconvenience of manual detection, constant false alarm rate (CFAR) detection technique in radar target detection theory is introduced for pipeline leakage detection based on acoustic signals. In this paper, an automatic pipeline leakage detection algorithm based on an improved CFAR detector is proposed. The improved CFAR detection is executed after pre-processing the acoustic signals so as to adaptively set the detection threshold to achieve the purpose of automatic detection of pipeline leakage incidents. A simulated leakage test of a real pipeline is used for validation, and the proposed method achieves detection accuracies of 84.6%, 97.7%, and 98% for different leakage diameter settings, i.e., 5 mm, 7 mm, and 10 mm leak hole diameters, respectively, with an overall accuracy of 94.1%, while the false alarm rates are 3.3%, 0.7%, and 0, respectively, as well as an overall of 1.2%. The results of experimental data based on real scenarios demonstrate the effectiveness of the proposed method. |
format | Online Article Text |
id | pubmed-10465504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104655042023-08-31 Constant false alarm rate detection of pipeline leakage based on acoustic sensors An, Guorui Huang, Zuheng Li, Yanbing Sci Rep Article During the transportation of oil and gas pipelines, there are many potential factors that can lead to pipeline leakage with serious consequences, making automatic and real-time pipeline leakage detection urgent. In response to the inconvenience of manual detection, constant false alarm rate (CFAR) detection technique in radar target detection theory is introduced for pipeline leakage detection based on acoustic signals. In this paper, an automatic pipeline leakage detection algorithm based on an improved CFAR detector is proposed. The improved CFAR detection is executed after pre-processing the acoustic signals so as to adaptively set the detection threshold to achieve the purpose of automatic detection of pipeline leakage incidents. A simulated leakage test of a real pipeline is used for validation, and the proposed method achieves detection accuracies of 84.6%, 97.7%, and 98% for different leakage diameter settings, i.e., 5 mm, 7 mm, and 10 mm leak hole diameters, respectively, with an overall accuracy of 94.1%, while the false alarm rates are 3.3%, 0.7%, and 0, respectively, as well as an overall of 1.2%. The results of experimental data based on real scenarios demonstrate the effectiveness of the proposed method. Nature Publishing Group UK 2023-08-29 /pmc/articles/PMC10465504/ /pubmed/37644105 http://dx.doi.org/10.1038/s41598-023-41177-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article An, Guorui Huang, Zuheng Li, Yanbing Constant false alarm rate detection of pipeline leakage based on acoustic sensors |
title | Constant false alarm rate detection of pipeline leakage based on acoustic sensors |
title_full | Constant false alarm rate detection of pipeline leakage based on acoustic sensors |
title_fullStr | Constant false alarm rate detection of pipeline leakage based on acoustic sensors |
title_full_unstemmed | Constant false alarm rate detection of pipeline leakage based on acoustic sensors |
title_short | Constant false alarm rate detection of pipeline leakage based on acoustic sensors |
title_sort | constant false alarm rate detection of pipeline leakage based on acoustic sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465504/ https://www.ncbi.nlm.nih.gov/pubmed/37644105 http://dx.doi.org/10.1038/s41598-023-41177-3 |
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