2000
DOI: 10.1590/s0104-66322000000400020
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Leak detection in pipelines through spectral analysis of pressure signals

Abstract: The development and test of a technique for leak detection in pipelines is presented. The technique is based on the spectral analysis of pressure signals measured in pipeline sections where the formation of stationary waves is favoured, allowing leakage detection during the start/stop of pumps. Experimental tests were performed in a 1250 m long pipeline for various operational conditions of the pipeline (liquid flow rate and leakage configuration). Pressure transients were obtained by four transducers connecte… Show more

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Cited by 14 publications
(3 citation statements)
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“…Analysis of the pressure signal can also be undertaken in the frequency domain, either via Fourier analysis (Mohapatra et al, 2006; Ferrante & Brunone, 2003a; Mpesha et al, 2002, 2001; Wang et al, 2002; Souza et al, 2000) o r, more effectively, with wavelet functions that allow the denoiseing of the pressure signal (Ferrante & Brunone, 2003b; Stoivanov et al, 2001).…”
Section: Technique Builds On Previous Researchmentioning
confidence: 99%
“…Analysis of the pressure signal can also be undertaken in the frequency domain, either via Fourier analysis (Mohapatra et al, 2006; Ferrante & Brunone, 2003a; Mpesha et al, 2002, 2001; Wang et al, 2002; Souza et al, 2000) o r, more effectively, with wavelet functions that allow the denoiseing of the pressure signal (Ferrante & Brunone, 2003b; Stoivanov et al, 2001).…”
Section: Technique Builds On Previous Researchmentioning
confidence: 99%
“…Complicated operational environments are often encountered in various machinery systems, such as those used in forest fires 1 , mining metallurgy, mine environmental monitoring 2 , industrial pipelines 3 , and aircraft 4 . Making matters more difficult, most state-of-art sensors are designed for measuring a single parameter [5][6][7] , whereas multiparameter sensors with small volume, high performance, and single-chip integration are more promising solutions in these conditions.…”
Section: Introductionmentioning
confidence: 99%
“…The operation of equipment is usually accompanied by the influence of temperature, pressure, humidity, and other complicated environmental factors. Examples of these factors include forest fire 1 , mining metallurgy, mine environmental monitoring 2 , industrial pipeline 3 , aircraft 4 , etc. Most sensors in the previous studies are only designed for measuring one parameter [5][6][7] .…”
Section: Introductionmentioning
confidence: 99%