Open AccessHydroinformatics based technique for leak identification purpose – An experimental analysis
Author(s) -
M. Yusop Hanafi,
Mohd Fairusham Ghazali,
W.H. Azmi,
M. F. M. Yusof,
M. A. PiRemli
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1078/1/012038
Subject(s) - wavelet , computer science , leak , noise reduction , signal processing , leak detection , pipeline transport , noise (video) , leakage (economics) , filter (signal processing) , electronic engineering , acoustics , artificial intelligence , engineering , digital signal processing , computer vision , physics , environmental engineering , economics , image (mathematics) , macroeconomics
Analysis of single point pressure transient signal has the potential of providing information on the pipeline system. The technique uses the frequency response and experiments are satisfactory for low-frequency bandwidth. The concept behind this approach is that reflections are detected by leak-induced disturbances. Such reflections are often very difficult to identify, particularly because of excessive noise. The common approach to boost the analysis is to use a data denoising approach. The wavelet transforms for leak detection in water pipelines are proposed in this article. The wavelet filter is optimally calibrated using maximal kurtosis values and is chosen for leakage detection. The suggested approach is tested using high-noise laboratory test signals. The findings show that the method is superior to current signal processing methods for the conditions used. The system permits not only the detection of leakage but also the location and evaluation of its magnitude with errors of less than 7%.