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

• Autorzy: Lay-Ekuakille A. , Griffo G. , Visconti P. , Primiceri P. , Velazquez R.

Identyfikatory

DOI

10.1515/mms-2017-0049

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

uncertainty; measurements; magnetic sensors; leak detection in pipelines; regularization

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2017
• Tom: Vol. 24, nr 4
• Strony: 631--644
• Opis fizyczny: Bibliogr. 16 poz., rys., tab., wykr., wzory

Twórcy

autor

Lay-Ekuakille A.

• University of Salento, Department of Innovation Engineering, Via Monteroni, 73100 Lecce, Italy

autor

Griffo G.

• University of Salento, Department of Innovation Engineering, Via Monteroni, 73100 Lecce, Italy

autor

Visconti P.

• University of Salento, Department of Innovation Engineering, Via Monteroni, 73100 Lecce, Italy

autor

Primiceri P.

• University of Salento, Department of Innovation Engineering, Via Monteroni, 73100 Lecce, Italy

autor

Velazquez R.

• Panamerican University, Faculty of Engineering, Av. Josemaría Escrivá de Balaguer 101, 20290 Aguascalientes, Mexico

Bibliografia

• [1] Kapelan, Z., Savic, D., Walters, G., Covas, D., Graham, N., Maksimovic, C. (2003). An Assessment of the Application of Inverse Transient Analysis for Leak Detection: Part I - Theoretical Considerations. Computer Control for Water Industry, London, UK.
• [2] Lee, P., Vítkovský, J., Mohapatra, P.K., Chaudhry, M.H., Kassem, A.A., Moloo, J. (2006). Detection of Partial Blockage in Single Pipelines. Journal of Hydraulic Engineering, ASCE, 132(2), 200-206.
• [3] Lay-Ekuakille, A., Vendramin, G., Trotta, A. (2009). Spectral Analysis of Leak Detection in a Zigzag Pipeline: A Filter Diagonalization Method − based algorithm application. Measurement, 42(3), 358-367.
• [4] Lay-Ekuakille, A., Vendramin, G., Trotta, A. (2010). Robust Spectral Leak Detection of Complex Pipelines using Filter Diagonalization Method. IEEE Sensors Journal, 9(11), 1605-1614.
• [5] Lay-Ekuakille, A., Vergallo, P. (2014). Decimated Signal Diagonalization Method for Improved Spectral Leak Detection in Pipelines. IEEE Sensors Journal, 14(6), 1741-1748.
• [6] Lay-Ekuakille, A., Vergallo, P., Griffo, G. (2013). A Robust Algorithm based on Decimated Padé Approximant Technique for Processing Sensor Data in Leak detection in Waterworks. IET Science, Measurement & Technology, 7(5), 256-264.
• [7] Griffin, D.W., Lim, J.S. (1984). Signal estimation from modified short-time Fourier transform. IEEE Trans. Acoustics, Speech, and Signal Proc., 32(2), 236-243.
• [8] Lay-Ekuakille, A., Vendramin, G,, Trotta, A., Vanderbemdem, P. (2009). STFT-based spectral analysis of urban waterworks leakage detection. XIX IMEKO World Congress Proc., Lisbon, Portugal.
• [9] Liou, C.P., Tian, J. (1995). Leak Detection − A Transient Flow Simulation Approach. Journal of Energy Resources Technology, American Society of Mechanical Engineers, 117(3), 243-248.
• [10] Nash, G.A., Karney B.W. (1999), Efficient Inverse Transient Analysis in Series Pipe Systems. Journal of Hydraulic Engineering, 125(7), 761-764.
• [11] Lay-Ekuakille, A., Pariset, C., Trotta, A. (2010). FDM-based Leak Detection of Complex Pipelines: Robust Technique for Eigenvalues Assessment. Measurements Science Technology, 21, 1-10.
• [12] Walkins, D.S. (2007). The matrix Eigen Problem. SIAM, 351-421.
• [13] Calvetti, D., et al. (2000). Tikhonov regularization and the L-curve for large discrete ill-posed problems. Journal of Computational and Applied Mathematics, 123(1-2), 423-446.
• [14] Hansen, P.C. (1998). Rank-Deficient and Discrete Ill-posed Problems. Siam, Philadelphia, USA.
• [15] Lay-Ekuakille, A., Vergallo, P., Trotta, A. (2010). Impedance Method for Urban Waterworks: Experimental Frequency Analysis for Leakage Detection. Imeko Tc-4, TC-19 and IWADC Conference, Kosice, Slovakia.
• [16] Ozevin, D., Yalcinkaya, H. (2014). New Leak Localization Approach in Pipelines Using Single-Point Measurement. Journal of Pipeline Systems Engineering and Practice, 5(2), 1-8.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).