Infrasonic leakage signal processing of PE pipeline based on improved AOK-TFR analysis.
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| Title: | Infrasonic leakage signal processing of PE pipeline based on improved AOK-TFR analysis. |
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| Authors: | Wang, Xiuwei1 (AUTHOR), Hao, Yongmei1 (AUTHOR) hymzcs@cczu.edu.cn, Wu, Fan1 (AUTHOR), Li, Fei2 (AUTHOR) |
| Source: | Nondestructive Testing & Evaluation. May2026, Vol. 41 Issue 5, p2576-2606. 31p. |
| Subjects: | Signal processing, Time-frequency analysis, Genetic algorithms, Water pipelines, Signal denoising, Fourier transforms |
| Abstract: | Aiming at the problem of cross-interference and low resolution of PE (polyethylene) pipeline leakage infrasound signal, a PE pipeline infrasound leakage signal processing method based on improved AOK-TFR (adaptive optimal kernel time-frequency distribution) analysis is proposed. Firstly, the original signal of infrasonic wave is collected by experiment and the leakage signal is preliminarily identified. Then, the leakage signal of denoising preprocessing is adaptively decomposed by LCD. The KPCA method and convex hull estimation method in genetic algorithm are used to quantitatively calculate the optimal kernel function volume $\alpha $ α value and the optimal expansion function $\sigma \left(\Psi \right)$ σ Ψ value in the constraint condition of AOK-TFR analysis, and the improved AOK-TFR analysis method is obtained. Then, the improved AOK-TFR is used to calculate the LCD decomposition signal step by step. Finally, through Fourier transform and MATLAB software processing, a clearer signal time-frequency spectrum is obtained. The results show that compared with the preliminary identification of leakage signals, the WVD distribution method and the improved AOK-TFR method, the improved AOK-TFR analysis improves the overall average identification accuracy of the leakage signal by 47.48%, 26.23% and 22.13%, respectively, and reaches 85.87%, which enhances the suppression effect of cross-interference of the signal, thereby improving the identification effect of pipeline leakage. [ABSTRACT FROM AUTHOR] |
| Copyright of Nondestructive Testing & Evaluation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193251659 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Infrasonic leakage signal processing of PE pipeline based on improved AOK-TFR analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Xiuwei%22">Wang, Xiuwei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hao%2C+Yongmei%22">Hao, Yongmei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hymzcs@cczu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Fan%22">Wu, Fan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Fei%22">Li, Fei</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nondestructive+Testing+%26+Evaluation%22">Nondestructive Testing & Evaluation</searchLink>. May2026, Vol. 41 Issue 5, p2576-2606. 31p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Time-frequency+analysis%22">Time-frequency analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Water+pipelines%22">Water pipelines</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+denoising%22">Signal denoising</searchLink><br /><searchLink fieldCode="DE" term="%22Fourier+transforms%22">Fourier transforms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Aiming at the problem of cross-interference and low resolution of PE (polyethylene) pipeline leakage infrasound signal, a PE pipeline infrasound leakage signal processing method based on improved AOK-TFR (adaptive optimal kernel time-frequency distribution) analysis is proposed. Firstly, the original signal of infrasonic wave is collected by experiment and the leakage signal is preliminarily identified. Then, the leakage signal of denoising preprocessing is adaptively decomposed by LCD. The KPCA method and convex hull estimation method in genetic algorithm are used to quantitatively calculate the optimal kernel function volume $\alpha $ α value and the optimal expansion function $\sigma \left(\Psi \right)$ σ Ψ value in the constraint condition of AOK-TFR analysis, and the improved AOK-TFR analysis method is obtained. Then, the improved AOK-TFR is used to calculate the LCD decomposition signal step by step. Finally, through Fourier transform and MATLAB software processing, a clearer signal time-frequency spectrum is obtained. The results show that compared with the preliminary identification of leakage signals, the WVD distribution method and the improved AOK-TFR method, the improved AOK-TFR analysis improves the overall average identification accuracy of the leakage signal by 47.48%, 26.23% and 22.13%, respectively, and reaches 85.87%, which enhances the suppression effect of cross-interference of the signal, thereby improving the identification effect of pipeline leakage. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Nondestructive Testing & Evaluation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10589759.2025.2511135 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 2576 Subjects: – SubjectFull: Signal processing Type: general – SubjectFull: Time-frequency analysis Type: general – SubjectFull: Genetic algorithms Type: general – SubjectFull: Water pipelines Type: general – SubjectFull: Signal denoising Type: general – SubjectFull: Fourier transforms Type: general Titles: – TitleFull: Infrasonic leakage signal processing of PE pipeline based on improved AOK-TFR analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Xiuwei – PersonEntity: Name: NameFull: Hao, Yongmei – PersonEntity: Name: NameFull: Wu, Fan – PersonEntity: Name: NameFull: Li, Fei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10589759 Numbering: – Type: volume Value: 41 – Type: issue Value: 5 Titles: – TitleFull: Nondestructive Testing & Evaluation Type: main |
| ResultId | 1 |
