Detection of Pipeline Leaks Using Fractal Analysis of Acoustic Signals

Zagretdinov, Ayrat; Ziganshin, Shamil; Izmailova, Eugenia; Vankov, Yuri; Klyukin, Ilya; Alexandrov, Roman

doi:10.3390/fractalfract8040213

Cited by 1 publication

(1 citation statement)

References 41 publications

(48 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The shape of the multifractal spectrum of with a sealed and fully opened valve differs from the typical parabolic form found in multifractal objects. Similar spectra were obtained in article [36].…”

Section: The Results Of the Analysis Of Acoustic Signals Using The Mf...supporting

confidence: 77%

Detection of Gate Valve Leaks through the Analysis Fractal Characteristics of Acoustic Signal

Zagretdinov,

Ziganshin,

Izmailova

et al. 2024

Fractal Fract

Self Cite

View full text Add to dashboard Cite

This paper considers the possibility of using monofractal and multifractal analysis of acoustic signals to detect water leaks through gate valves. Detrended fluctuation analysis (DFA) and multifractal detrended fluctuation analysis (MF-DFA) were used. Experimental studies were conducted on a ½-inch nominal diameter wedge valve, which was fitted to a ¾-inch nominal diameter steel pipeline. The water leak was simulated by opening the valve. The resulting leakage rates for different valve opening conditions were 5.3, 10.5, 14, 16.8, and 20 L per minute (L/min). The Hurst exponent for acoustic signals in a hermetically sealed valve is at the same level as a deterministic signal, while the width of the multifractal spectrum closely matches that of a monofractal process. When a leak occurs, turbulent flow pulsations appear, and with small leak sizes, the acoustic signals become anticorrelated with a high degree of multifractality. As the leakage increases, the Hurst exponent also increases and the width of the multifractal spectrum decreases. The main contributor to the multifractal structure of leak signals is small, noise-like fluctuations. The analysis of acoustic signals using the DFA and MF-DFA methods enables determining the extent of water leakage through a non-sealed gate valve. The results of the experimental studies are in agreement with the numerical simulations. Using the Ansys Fluent software (v. 19.2), the frequencies of flow vortices at different positions of gate valve were calculated. The k-ω SST turbulence model was employed for calculations. The calculations were conducted in a transient formulation of the problem. It was found that as the leakage decreases, the areas with a higher turbulence eddy frequency increase. An increase in the frequency of turbulent fluctuations leads to enhanced energy dissipation. Some of the energy from ordered processes is converted into the energy of disordered processes.

show abstract

Section: The Results Of the Analysis Of Acoustic Signals Using The Mf...supporting

confidence: 77%