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Detection of Pipeline Leaks Using Fractal Analysis of Acoustic Signals

التفاصيل البيبلوغرافية
العنوان: Detection of Pipeline Leaks Using Fractal Analysis of Acoustic Signals
المؤلفون: Ayrat Zagretdinov, Shamil Ziganshin, Eugenia Izmailova, Yuri Vankov, Ilya Klyukin, Roman Alexandrov
المصدر: Fractal and Fractional, Vol 8, Iss 4, p 213 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Thermodynamics
LCC:Mathematics
LCC:Analysis
مصطلحات موضوعية: fractal, leakage, pipelines, DFA, MF-DFA, Hurst exponent, Thermodynamics, QC310.15-319, Mathematics, QA1-939, Analysis, QA299.6-433
الوصف: In this paper, the possibility of using monofractal and multifractal analysis of acoustic signals of pipelines to detect leaks is considered. An experimental stand has been created to study the fractal characteristics of acoustic signals of pipelines with “slit” type defects. During the experiments, defects of the “slit” type pipeline with dimensions of 2 mm, 8 mm, and 20 mm were modeled. Detrended fluctuation analysis (DFA) and the multifractal detrended fluctuation analysis (MF-DFA) were used. As a result of the experimental studies, it was found that the occurrence of leakage leads to the occurrence of anticorrelated vibrations in a pipeline with multifractal properties. The analyses of acoustic signals by DFA and MF-DFA methods make it possible to reliably determine the leakage. The Hurst exponent and the width of the multifractal spectrum can serve as indicators of the occurrence of leaks in pipelines.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2504-3110
Relation: https://www.mdpi.com/2504-3110/8/4/213; https://doaj.org/toc/2504-3110
DOI: 10.3390/fractalfract8040213
URL الوصول: https://doaj.org/article/35820af986e74bc585d6126b5e02c6e4
رقم الأكسشن: edsdoj.35820af986e74bc585d6126b5e02c6e4
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:25043110
DOI:10.3390/fractalfract8040213