Vibrational signal processing for characterization of fluid flows in pipes

Dinardo, Giuseppe; Fabbiano, Laura; Vacca, Gaetano; Lay-Ekuakille, A.

doi:10.1016/j.measurement.2017.06.040

Cited by 26 publications

(12 citation statements)

References 16 publications

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“…Different alternatives have been proposed in the field of flow rate indirect measurement techniques. In the literature, the experimental correlation between the fluid flow rate through a pipe (̇) and the acceleration affecting the pipe wall in the radial direction ( 2 2 ) has been described with a series of linear relations (∝), expressed by (1) [4] [1].…”

Section: A Flow Rate and Vibrationsmentioning

confidence: 99%

“…LOW rate measurement is a relevant issue in many different contexts, such as processes control and potable water distribution networks [1]. Nowadays, there is a wide variety of measuring instruments for this variable that have excellent precision.…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, there is a wide variety of measuring instruments for this variable that have excellent precision. However, most of these devices have one or several of the following drawbacks: they are intrusive sensors that need to be installed within the pipe [2][3], they require a complex installation procedure that is not suitable for portable measuring systems [1], or they are expensive [4]. These disadvantages are critical in specific applications, such as the contexts where portable measuring systems are required, when a large number of sensors most be installed, or when flow rate in going to be measured in adverse conditions, like in the case of corrosive or very dense fluids Literature reports new trends in the development of flow rate measurement systems that are easy to install, non-intrusive and not expensive, usually based in the use of soft metrology systems or soft sensors, which are indirect measurement systems that infer the value of the variable of interest from measures of other related variables that are easier to measure [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Metrological Advantages of Applying Vibration Analysis to Pipelines: A Review

et al. 2021

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Flow rate is a necessary variable in industrial processes and, therefore, there is a wide variety of instruments designed to measure it. However, the most accepted measuring devices have the problem of being invasive or intrusive. The scientific and technological challenge is to achieve measurement by exploiting all the phenomenological possibilities using a non-intrusive, easy-to-install, portable and low-cost mechanism. This paper presents a literature review on the use of vibration analysis in flow rate metrological systems in order to identify research opportunities for the indirect measurement of this magnitude. A promising line of work was found based on soft flow rate sensors that use the analysis of pipeline vibrations integrated into computational intelligence routines, which allows inference of the flow rate value. The findings promote to continue with new technical and scientific challenges.

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Section: A Flow Rate and Vibrationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Metrological Advantages of Applying Vibration Analysis to Pipelines: A Review

et al. 2021

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“…For estimating flow rate through heat body, Hardy cross type algorithm was used. Measurement of fluid flow rate by observing the vibrations of fluid pipe was reported by Dinardo et al (2018). In this paper, authors have considered the root mean square value of the vibration signal and the variation of this parameter was related to fluid flow rate and was concluded to be proportional.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Flow Rate Through Analysis of Pipe Vibration

Venkata

Navada

2018

Acta Mechanica Et Automatica

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In this paper, implementation of soft sensing technique for measurement of fluid flow rate is reported. The objective of the paper is to design an estimator to physically measure the flow in pipe by analysing the vibration on the walls of the pipe. Commonly used head type flow meter causes obstruction to the flow and measurement would depend on the placement of these sensors. In the proposed technique vibration sensor is bonded on the pipe of liquid flow. It is observed that vibration in the pipe varies with the control action of stem. Single axis accelerometer is used to acquire vibration signal from pipe, signal is passed from the sensor to the system for processing. Basic techniques like filtering, amplification, and Fourier transform are used to process the signal. The obtained transform is trained using neural network algorithm to estimate the fluid flow rate. Artificial neural network is designed using back propagation with artificial bee colony algorithm. Designed estimator after being incorporated in practical setup is subjected to test and the result obtained shows successful estimation of flow rate with the root mean square percentage error of 0.667.

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“…The possibility of pipe monitoring or flow measurement based on sound analysis has been investigated by researchers. Most of the researchers who worked on this subject have not reported measurement accuracies, but rough statistical correlations; for example, Dinardo et al 1 and Campagna et al 2 showed a linear dependence between the amplitude of the vibration acceleration in its frequency domain and the flow rate in a pipe and developed a fluid flow rate monitoring system; Campagna et al 2 developed a methodology for the measurement of the fluid flow rate in a pipe, by means of appropriate evaluations to be implemented on the vibrational signals in the frequency domain; Dinardo et al 3 related the power content of the processed signals (by introducing the signal root mean square value) to the flow rate in a pipe; Saito et al 4 and Thompson et al 5 developed a relationship between pressure fluctuations caused by sudden flow rate changes; Evans et al 6 developed a flow rate measurement technique based on signal noise from an accelerometer attached to the surface of a pipe. They defined the signal noise as the standard deviation of the frequency averaged time-series signal and presented experimental results that indicate a nearly quadratic relationship between the signal noise and the mass flow rate in the pipe; Safari and Tavassoli 7 showed empirical results that indicate that there is a relationship between the output signal of microphone in frequency domain and the flow rate in a pipe; Medeiros and Barbosa 8 presented a method for measuring flow in pipelines based on the frequency domain values of vibration caused by the flow of water; and Hu et al 9 used accelerometer on a pipe to recognize the type of household water use activity.…”

Section: Introductionmentioning

confidence: 99%

Flow Measurement by Wavelet Packet Analysis of Sound Emissions

Göksu

2018

Measurement and Control

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Fluid, when running through pipes, makes a complex sound emission whose parameters change nonlinearly with respect to flow speed. Especially, in household pipe systems, there may be spraying effects and resonance effects which make the emission more complex. We present a novel approach for predicting flow speed based on wavelet packet analysis of sound emissions rather than traditional time and frequency domain methods. Wavelet packet analysis, by providing arbitrary time-frequency resolution, enables analyzing signals of stationary and non-stationary nature. It has better time representation than Fourier analysis and better high-frequency resolution than wavelet analysis. Wavelet packet analysis subimages are further analyzed to obtain feature vectors of norm entropy. These feature vectors are fed into a multilayer perceptron for prediction. Prediction accuracy of 98.62%, with 3.99E−04 L/s mean absolute error and its corresponding 1.85% relative error is achieved. Time sensitivity is ±0.453 s and is open to improvement by varying window width. The result indicates that the proposed method is a good candidate for flow measurement by acoustic analysis.

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Vibrational signal processing for characterization of fluid flows in pipes

Cited by 26 publications

References 16 publications

Metrological Advantages of Applying Vibration Analysis to Pipelines: A Review

Metrological Advantages of Applying Vibration Analysis to Pipelines: A Review

Estimation of Flow Rate Through Analysis of Pipe Vibration

Flow Measurement by Wavelet Packet Analysis of Sound Emissions

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