RT Journal Article
A1 Aimé Lay-Ekuakille
AD Department of Innovation Engineering, University of Salento, Via Monteroni, 73100 Lecce, Italy
A1 Giuseppe Griffo
AD Department of Innovation Engineering, University of Salento, Via Monteroni, 73100 Lecce, Italy
A1 Patrizia Vergallo
AD Department of Innovation Engineering, University of Salento, Via Monteroni, 73100 Lecce, Italy
PB iet
T1 Robust algorithm based on decimated Padè approximant technique for processing sensor data in leak detection in waterworks
JN IET Science, Measurement & Technology
VO 7
IS 5
SP 256
OP 264
AB Although today water is becoming more and more precious, its major waste is caused by transportation. The authorities in charge of the management of water pipes indicate double-digit percentage of waste, sometimes it even exceeds 50% the amount of water mostly lost by inefficiency of distribution waterworks. In this study, the authors present an alternative method of spectral analysis, used for detecting leaks in water pipes, with respect to classical spectral methods as direct Fourier transform/fast Fourier transform. They have used decimated Padè approximant (DPA), where the input time signal points or auto-correlation functions are given via measurements or computations, and the task is to reconstruct the unknown components as the harmonic variables in terms of the fundamental complex frequencies and amplitudes. They have also introduced decimated linear predictor technique as direct consequence of the DPA, since they differ only in one step, namely the calculation of the amplitudes.
K1 decimated Padè approximant technique
K1 water pipes
K1 harmonic variables
K1 spectral methods
K1 autocorrelation functions
K1 robust algorithm
K1 direct Fourier transform
K1 processing sensor data
K1 double-digit percentage
K1 leak detection
K1 fast Fourier transform
K1 distribution waterworks
DO https://doi.org/10.1049/iet-smt.2012.0136
UL https://digital-library.theiet.org/;jsessionid=1x644efe233xj.x-iet-live-01content/journals/10.1049/iet-smt.2012.0136
LA English
SN 1751-8822
YR 2013
OL EN