A novel time-of-flight estimation method of acoustic signals for temperature and velocity measurement of gas medium

Liu, Qi; Zhou, Bin; Zhang, Jianyong; Cheng, Ruixue; Dai, Minglu; Zhao, Xuhao; Wang, Yihong

doi:10.1016/j.expthermflusci.2022.110759

Cited by 10 publications

(2 citation statements)

References 38 publications

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“…Measuring temperature through ultrasound becomes challenging when the acoustic wave passes through media with significantly different acoustic impedances, such as metal–air coupling. In such cases, it is preferable to integrate ultrasound sensors into tanks or pipes [ 22 ]. However, this alternative comes with several drawbacks, including contamination risks, maintenance and transducer replacement difficulties, and the necessity to adapt the tanks or pipes to accommodate the transducers.…”

Section: Introductionmentioning

confidence: 99%

Innovative Non-Invasive and Non-Intrusive Precision Thermometry in Stainless-Steel Tanks Using Ultrasound Transducers

Bouzid,

Chidami,

Lailler

et al. 2024

Sensors

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Measuring temperature inside chemical reactors is crucial to ensuring process control and safety. However, conventional methods face a number of limitations, such as the invasiveness and the restricted dynamic range. This paper presents a novel approach using ultrasound transducers to enable accurate temperature measurements. Our experiments, conducted within a temperature range of 28.8 to 83.8 °C, reveal a minimal temperature accuracy of 98.6% within the critical zone spanning between 70.5 and 75 °C, and an accuracy of over 99% outside this critical zone. The experiments focused on a homogeneous environment of distilled water within a stainless-steel tank. This approach will be extended in a future research in order to diversify the experimental media and non-uniform environments, while promising broader applications in chemical process monitoring and control.

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Section: Introductionmentioning

confidence: 99%

Innovative Non-Invasive and Non-Intrusive Precision Thermometry in Stainless-Steel Tanks Using Ultrasound Transducers

Bouzid,

Chidami,

Lailler

et al. 2024

Sensors

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“…Sensors can be arranged at the upper and lower ends of the pipeline to collect acoustic signals and detect and locate the leakage [21,22]. Acoustic signal detection is widely used in sound-wave velocity measurements [23], gas mixture identification [24], and humidity measurements [25]. Many scholars have conducted studies and discussed acoustic signal detection [26,27].…”

Section: Introductionmentioning

confidence: 99%

Experimental study on acoustic signal characteristic analysis and time delay estimation of pipeline leakage in boilers

Luo,

Yang,

Sun

et al. 2023

Meas. Sci. Technol.

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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 experiment, the time and frequency domains were analyzed by changing the pressure of the leakage pipeline and aperture of the leakage hole, and the spectrogram and power spectrum of the leakage acoustic signal were obtained using fast Fourier transform and autocorrelation analysis. The results showed that the signal value of the leakage medium increased with increasing pipeline pressure and leakage aperture and that the energy of the steam leakage acoustic signal was greater than that of compressed air under the same pressure and aperture because of its larger specific heat capacity. In addition, the complete empirical mode decomposition of adaptive noise (CEEMDAN) algorithm was introduced into the denoising decomposition of the leakage sound signal in the furnace, and the average error of the time delay value of the leakage acoustic signal calculated using the CEEMDAN algorithm was observed to be within 5%.

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Detection of Signal of Fire Source for Coal Spontaneous Combustion Applied with Acoustic Wave

et al. 2023

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A novel time-of-flight estimation method of acoustic signals for temperature and velocity measurement of gas medium

Cited by 10 publications

References 38 publications

Innovative Non-Invasive and Non-Intrusive Precision Thermometry in Stainless-Steel Tanks Using Ultrasound Transducers

Innovative Non-Invasive and Non-Intrusive Precision Thermometry in Stainless-Steel Tanks Using Ultrasound Transducers

Experimental study on acoustic signal characteristic analysis and time delay estimation of pipeline leakage in boilers

Detection of Signal of Fire Source for Coal Spontaneous Combustion Applied with Acoustic Wave

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