
Robust algorithm based on decimated Padè approximant technique for processing sensor data in leak detection in waterworks
Author(s) -
LayEkuakille Aimé,
Griffo Giuseppe,
Vergallo Patrizia
Publication year - 2013
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2012.0136
Subject(s) - algorithm , fourier transform , fast fourier transform , amplitude , harmonic , harmonic analysis , leak , computation , short time fourier transform , signal (programming language) , computer science , mathematics , engineering , acoustics , electronic engineering , fourier analysis , mathematical analysis , physics , optics , environmental engineering , programming language
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.