Spectral analysis of leak detection in a zigzag pipeline: A filter diagonalization method-based algorithm application

Lay-Ekuakille, A.; Vendramin, G.; Trotta, A.

doi:10.1016/j.measurement.2008.07.007

Cited by 51 publications

(30 citation statements)

References 12 publications

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“…Besides established NMR applications, FDM has also been employed in different scientific fields [21][22][23][24][25] and, with close relation to the present work, FDM was recently used to selectively remove broad solvent signals from complex NMR spectra without affecting overlapping or nearby narrow signals [26]. They have shown that FDM can efficiently model the broad signals in the time domain for subsequent subtraction from the original transient signal, resulting in a high fidelity separation of the underlying structured spectrum.…”

Section: Introductionmentioning

confidence: 62%

Deconvolution of the EPR spectra of vanadium oxide nanotubes

Magon

Lima

Donoso

et al. 2012

Journal of Magnetic Resonance

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Section: Introductionmentioning

confidence: 62%

Deconvolution of the EPR spectra of vanadium oxide nanotubes

Magon

Lima

Donoso

et al. 2012

Journal of Magnetic Resonance

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“…Among them, we recall FDM (Filter Diagonalization Method), DSD (Decimated Signal Diagonalization) and DPA (Decimated Padé Approximant). FDM is a robust technique capable of avoiding the influence of noise for huge signals to be processed [3,4]. DSD is still robust but fast and more accurate than FDM for a portion of signals to be treated [5] while DPA is a specific case of processing able to implement fast approximation with a powerful quickness [6].…”

Section: Introductionmentioning

confidence: 99%

Leak Detection in Waterworks: Comparison Between STFT and FFT with an Overcoming of Limitations

Lay-Ekuakille

Griffo

Visconti

et al. 2017

Metrology and Measurement Systems

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Detection of leakages in pipelines is a matter of continuous research because of the basic importance for a waterworks system is finding the point of the pipeline where a leak is located and − in some cases − a nature of the leak. There are specific difficulties in finding leaks by using spectral analysis techniques like FFT (Fast Fourier Transform), STFT (Short Term Fourier Transform), etc. These difficulties arise especially in complicated pipeline configurations, e.g. a zigzag one. This research focuses on the results of a new algorithm based on FFT and comparing them with a developed STFT technique. Even if other techniques are used, they are costly and difficult to be managed. Moreover, a constraint in the leak detection is the pipeline diameter because it influences accuracy of the adopted algorithm. FFT and STFT are not fully adequate for complex configurations dealt with in this paper, since they produce ill-posed problems with an increasing uncertainty. Therefore, an improved Tikhonov technique has been implemented to reinforce FFT and STFT for complex configurations of pipelines. Hence, the proposed algorithm overcomes the aforementioned difficulties due to applying a linear algebraic approach.

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“…Nowadays, many leak detection and location methods (Murvay et al, 2012;Lay-Ekuakille et al, 2009;Kajiro et al, 1986;Sun, 2012) have been developed for oil and gas pipeline, such as methods based on mass/volume balance, negative pressure wave, transient model, distributed optical fiber and acoustic waves, etc. Among them the acoustic method is superior to the traditional ones: higher sensitivity, higher location accuracy, lower false alarm rate, shorter testing time and greater adaptability.…”

Section: Introductionmentioning

confidence: 99%