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Sound as Pressure Waves01:17

Sound as Pressure Waves

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Sound waves, which are longitudinal waves, can be modeled as the displacement amplitude varying as a function of the spatial and temporal coordinates. As a column of the medium is displaced, its successive columns are also displaced. As the successive displacements differ relatively, a pressure difference with the surrounding pressure is created. The gauge pressure varies across the medium.
The pressure fluctuation depends on the difference in displacements between the successive points in the...
4.5K
Intensity and Pressure of Sound Waves01:05

Intensity and Pressure of Sound Waves

1.7K
The intensity of sound waves can be related to displacement and pressure amplitudes by using their wave expressions and the definition of intensity. The critical step to achieve this is to write the power delivered by the particles on the wave as the product of force and velocity and simplify the force per unit area as the pressure. The velocity of the medium's particles can be derived from the displacement.
Unlike the time average of a sinusoidal term, which is zero since it is positive...
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¹H NMR of Labile Protons: Temporal Resolution01:10

¹H NMR of Labile Protons: Temporal Resolution

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Protons bonded to heteroatoms such as nitrogen and oxygen exhibit a range of chemical shift values. This is due to the varying degree of hydrogen bonding between the proton and the heteroatom in other molecules. The extent of hydrogen bonding affects the electron density around the proton, thereby giving different chemical shift values for the protons in the proton NMR spectrum.
The –OH proton in alcohols typically appears in the range of δ 2 to 5 ppm but can vary depending on the specific...
1.7K
Convolution Properties II01:17

Convolution Properties II

583
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
583
¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

1.3K
At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
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Convolution Properties I01:20

Convolution Properties I

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Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
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Related Experiment Video

Updated: Jan 25, 2026

Synthesis and Microdiffraction at Extreme Pressures and Temperatures
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Synthesis and Microdiffraction at Extreme Pressures and Temperatures

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Negative Pressure Waves Based High Resolution Leakage Localization Method Using Piezoceramic Transducers and Multiple

Guangmin Zhang1, Siu Chun Michael Ho2, Linsheng Huo3

  • 1School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, China. zhanggm@dgut.edu.cn.

Sensors (Basel, Switzerland)
|May 1, 2019
PubMed
Summary

A new algorithm improves pipeline leak detection by using piezoceramic sensors and temporal convolutions. This method enhances localization resolution, reducing the potential leakage area compared to traditional techniques.

Keywords:
leakage detectionleakage localizationmultiple temporal convolutionsnegative pressure wave (NPW)piezoceramic sensor

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Area of Science:

  • Engineering
  • Signal Processing
  • Materials Science

Background:

  • Pipeline leak detection is crucial for infrastructure integrity.
  • Negative pressure wave (NPW) signals from leaks typically have long durations, leading to low localization resolution.
  • Existing methods struggle with accurately pinpointing leak locations due to signal characteristics.

Purpose of the Study:

  • To develop a novel high-resolution localization algorithm for pipeline leakage detection.
  • To improve the accuracy of pinpointing leak locations in pressurized pipelines.
  • To overcome the limitations of traditional methods caused by long NPW signal durations.

Main Methods:

  • Utilized piezoceramic transducers, specifically Lead Zirconate Titanate (PZT) sensors, for signal acquisition.
  • Developed a novel algorithm employing multiple temporal convolutions to process NPW signals.
  • Implemented the algorithm on a 55.8 m pressurized pipeline with controllable valves for experimental validation.

Main Results:

  • The proposed algorithm successfully decreased localization functional values near the leak.
  • Experimental results demonstrated a significant improvement in localization resolution compared to traditional methods.
  • The algorithm effectively reduced the assessed leakage area, enhancing detection precision.

Conclusions:

  • The developed high-resolution localization algorithm offers superior performance for pipeline leak detection.
  • Piezoceramic sensors combined with temporal convolution techniques provide a promising approach for accurate leak localization.
  • This advancement addresses the challenge of low resolution in traditional pipeline monitoring systems.