Ultrasonic wave based pressure measurement in small diameter pipeline

Wang, Dan; Song, Zhengxiang; Wu, Yuh Lin; Yuan, Jiang

doi:10.1016/j.ultras.2015.06.002

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…When probes are used to measure the pressure that a fluid exerts on the internal wall of a pipe, errors occur due to the presence of the probe inside the pipeline. For this reason, several methods for non-invasive pressure measurements have been developed [1][2][3][4][5][6][7][8][9][10][11][12] . These include the use of ultrasonic waves, terahertz spectroscopy, and fiber optics among others.…”

Section: Introductionmentioning

confidence: 99%

“…Ultrasonic waves are used by analyzing their speed of transmission through a liquid within a small-diameter pipeline. Based on the amount of time it takes for the ultrasonic wave to propagate through the liquid, between a transmitter and a receiver, the resultant pressure can be determined [2][3][4] . Terahertz spectroscopy utilizes non-ionizing radiation within the terahertz frequency (10 12 hertz) to map the internal pressure distribution applied by a fluid within a pipe 5 .…”

Section: Introductionmentioning

confidence: 99%

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Monitoring of pressurized pipelines with whispering gallery mode-based sensors

Rubino,

Agarwal

2024

Photonic Instrumentation Engineering XI

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The purpose of this work is to explore the use of optical resonators based on the Whispering Gallery Mode phenomenon (WGM), to determine the variation of the internal pressure of a pipeline due to leaks. Numerical experiments were performed to determine the sensitivity of disk-shaped optical resonators embedded in the wall of the pipe. A change in the internal pressure causes mechanical stress in the pipe wall and therefore a strain that is transferred to the optical resonator. This strain can be related to the shift of the optical modes (WGM shift) to determine the sensitivity of the sensor. The parameters investigated include the size of the resonator and the location within the thickness of the pipe wall. The results show a linear behavior of the WGM shift with the applied pressure, as well as a quadratic increase of the sensitivity with the resonator diameter.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring of pressurized pipelines with whispering gallery mode-based sensors

Rubino,

Agarwal

2024

Photonic Instrumentation Engineering XI

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show abstract

“…In a Kneser liquid, the transmission speed of an ultrasonic wave changes as the liquid pressure changes at a definite temperature [7]. In this study, the sound velocity of an ultrasonic signal of a pipeline is used to identify different leakage apertures.…”

Section: Introductionmentioning

confidence: 99%

Pipeline Leak Aperture Recognition Based on Wavelet Packet Analysis and a Deep Belief Network with ICR

Lang

et al. 2018

Wireless Communications and Mobile Computing

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The leakage aperture cannot be easily identified, when an oil pipeline has small leaks. To address this issue, a leak aperture recognition method based on wavelet packet analysis (WPA) and a deep belief network (DBN) with independent component regression (ICR) is proposed. WPA is used to remove the noise in the collected sound velocity of the ultrasonic signal. Next, the denoised sound velocity of the ultrasonic signal is input into the deep belief network with independent component regression (DBN ICR ) to recognize different leak apertures. Because the optimization of the weights of the DBN with the gradient leads to a local optimum and a slow learning rate, ICR is used to replace the gradient fine-tuning method in conventional DBN for improving the classification accuracy, and a Lyapunov function is constructed to prove the convergence of the DBN ICR learning process. By analyzing the acquired ultrasonic sound velocity of different leak apertures, the results show that the proposed method can quickly and effectively identify different leakage apertures.

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Design and experimental study of a sensitization structure with fiber grating sensor for nonintrusive pipeline pressure detection

Yan

Guo

et al. 2020

ISA Transactions

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Ultrasonic wave based pressure measurement in small diameter pipeline

Cited by 10 publications

References 14 publications

Monitoring of pressurized pipelines with whispering gallery mode-based sensors

Monitoring of pressurized pipelines with whispering gallery mode-based sensors

Pipeline Leak Aperture Recognition Based on Wavelet Packet Analysis and a Deep Belief Network with ICR

Design and experimental study of a sensitization structure with fiber grating sensor for nonintrusive pipeline pressure detection

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