[en] Water is an essential good for human being
necessity. It must be protected against pollution and useless
leakage. Urban waterworks is a strategic infrastructure to be
managed with particular attention and care so that users
must be satisfied. Different techniques are used to detect
leaks from waterworks, specifically from pipelines carrying
water. Among them, spectral analysis is very interesting to
apply amid problems related to the pipeline section. This
paper presents an application of STFT (short-term Fourier
transform) technique for identifying urban waterworks
leaks; STFT technique is usually used in processing speech.
For the purposes of this research, a specific pipeline plant
has been build in other to feature a real case. The pipeline
section is almost one inch; the adopted section makes the
research very interesting since spectral analysis, based
essentially on FFT, is generally used for section greater
than 20 cm.
Research Center/Unit :
SUPRATECS - Services Universitaires pour la Recherche et les Applications Technologiques de Matériaux Électro-Céramiques, Composites, Supraconducteurs - ULiège
Disciplines :
Electrical & electronics engineering
Author, co-author :
Lay-Ekuakille, Aimé; University of Lecce > Dipartimento d’Ingegneria dell’innovazione
Vendramin, Giuseppe; University of Lecce > Dipartimento d’Ingegneria dell’innovazione
Trotta, Amerigo; Polytechnic of Bari > Dipartimento di Elettrotecnica ed Elettronica
Vanderbemden, Philippe ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Capteurs et systèmes de mesures électriques
Language :
English
Title :
STFT-based spectral analysis of urban waterworks leakage detection
Publication date :
2009
Event name :
XIX IMEKO World Congress Fundamental and Applied Metrology
Water & Waste Pipe Testing Inc., A Report for Conducting A Water leak Detection Survey on the Entire Water Distribution System for the Town of Ipswich, MA-USA, September-November 1999.
EPD Guidance document, Water Leak Detection and Program Repair, Georgia Environmental Protection Division, August 2007.
Albuquerque Bernalillo County, Analysis of Fluid Conservation System's Leak Detection Technology, November 2006.
S.L. Scott, M.A. Barrufet, Worldwide Assessment of Industry Leak Detection Capabilities for Single & Multiphase Pipelines, Department of Petroleum Engineering, Texas A&M University, august 2003.
Liou, C.P., and Tian, J., Leak Detection-A Transient Flow Simulation Approach, Journal of Energy Resources Technology, American Society of Mechanical Engineers, Vol. 117, No. 3, September1995, pp. 243-248.
Liou, C. P., Pipeline Leak Detection by Impulse Response Extraction, Journal of Fluids Engineering, American Society of Mechanical Engineers, Vol. 120, No. 4, December 1998, pp. 833-838.
Nash, G.A. and Karney, B.W., Efficient Inverse Transient Analysis in Series Pipe Systems, Journal of Hydraulic Engineering, Vol.125, Issue 7, pp 761-764, July 1999
Covas, D., Graham, N., Maksimovic, C., Kapelan, Z., Savic, D., and Walters, G., "An Assessment of the Application of Inverse Transient Analysis for Leak Detection: Part II-Collection and Application of Experimental Data", Proc. Computer Control for Water Industry (CCWI), London (UK), C. Maksimovic and N. Graham, eds., 2003.
Kapelan, Z., Savic, D., Walters, G., Covas, D., Graham, N., and Maksimovic, C., An Assessment of the Application of Inverse Transient Analysis for Leak Detection: Part 1-Theoretical Considerations, Computer Control for Water Industry (CCWI), London, UK, 2003.
Mpesha, W., Gassman, S.L., Chaudrhy, M.H., Leak detection in pipes by frequency response method using a step excitation, Int. Journal of Hydraulic Research, Vol.40, 2002
Lee, P., Vítkovský J., Discussion of: Mohapatra, P.K., Chaudhry, M.H., Kassem, A.A., and Moloo, J., Detection of Partial Blockage in Single Pipelines, Journal of Hydraulic Engineering, ASCE, vo132 no2 2006: 200-206, 2006.
A. Lay-Ekuakille, G. Vendramin, G. Trotta, Spectral Analysis of Leak detection a zigzag pipeline: a filter diagonalization method-based algorithm application, Measurement (in print), Elsevier, London, UK, Nov. 2008.
D. W. Griffin and J. S. Lim, Signal estimation from modified short-time Fourier transform, IEEE Trans. Acoustics, Speech, and Signal Proc., vol. 32, no. 2, pp. 236-243, Apr. 1984.