2023
DOI: 10.1088/1361-6501/ad10f8
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Experimental study on acoustic signal characteristic analysis and time delay estimation of pipeline leakage in boilers

Pei Luo,
Wenkai Yang,
Mingyang Sun
et al.

Abstract: Acoustic signal detection technology has significant advantages in detecting the leakage and bursting of heat exchange pipes in boilers. To address the current lack of sound signal data for steam medium leakages and the problem of large errors in the complex sound field environment of power plants, we performed an innovative experimental comparative analysis of leakage acoustic signals under a dual medium of compressed air and steam to provide a reference for detecting leakage acoustic signals. During the expe… Show more

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“…Article [8] demonstrates the use of wireless vibration accelerometers to detect vibration signals from leaks and uses several types of neural networks to detect leaks in pipeline systems. Other authors [14] proposed an analysis of the time and frequency domain using fast Fourier transform and autocorrelation analysis to detect leaks of the steam medium in boiler pipelines. In article [15], a method based on a linear phase detector is proposed for the simultaneous detection of several leaks in water networks.…”
Section: Introductionmentioning
confidence: 99%
“…Article [8] demonstrates the use of wireless vibration accelerometers to detect vibration signals from leaks and uses several types of neural networks to detect leaks in pipeline systems. Other authors [14] proposed an analysis of the time and frequency domain using fast Fourier transform and autocorrelation analysis to detect leaks of the steam medium in boiler pipelines. In article [15], a method based on a linear phase detector is proposed for the simultaneous detection of several leaks in water networks.…”
Section: Introductionmentioning
confidence: 99%