Abstract
Pressure transient analysis has been widely used to monitor the condition of pipelines and its assessment in water distribution systems. This is a low-cost nonintrusive technique with the ability to locate uncertainties (leak, pipe fitting, blockage) at a greater distance from the measurement point. In this research, Normalised Hilbert Huang Transform (NHHT) is used as the method to analyse the pressure transient signal. However, this method has difficulty in selecting the suitable intrinsic mode function (IMF) for the advance data analysing. As an alternative, Integrated Kurtosis-based Algorithm for z-filter Technique (Ikaz), which allows automatic selection of intrinsic mode function (IMF) been used to substitute the NHHT limitation in this study. The analysis is conducted on a 67.9-meter Medium High-Density PolyEthylene (MDPE) pipe installed with single artificial leak simulator at a water pressure in the range of 1-4 bar.
Highlights
Water management is essential to ensure every drop of water can be distributed to the right places
This paper focuses on the implementation of Normalized Integrated Kurtosis-based Algorithm for z-filter Technique (Ikaz) coefficient for automatic selection of intrinsic mode function using real pressure transient signal captured along the 67.9-meter medium density polyethylene pipe with single artificial leak simulator attached at a distance of 19.7 meters from the point of analysis
In this work, Normalized Hilbert-Huang Transform (NHHT) which contains Empirical Mode Decomposition Method (EMD) data pre-processing method and Normalized Hilbert Transform (NHT) data post-processing method is employed as the tool to analyze the pressure transient signal
Summary
Water management is essential to ensure every drop of water can be distributed to the right places. HHT has been widely used in time-frequency analysis as signal processing method [1], [2] This method has difficulty in selecting the suitable IMF for advance data postprocessing method known as Normalized Hilbert Transform (NHT). This paper proposes an Integrated Kurtosis Algorithm for Z-notch (Ikaz) filter hybridized with higher order statistical method (Kurtosis) for automatic selection of intrinsic mode function (IMF). This paper focuses on the implementation of Normalized Ikaz coefficient for automatic selection of intrinsic mode function using real pressure transient signal captured along the 67.9-meter medium density polyethylene pipe with single artificial leak simulator attached at a distance of 19.7 meters from the point of analysis. The result for the real pressure transient signal shows that the IMF with the highest value of Normalized Ikaz coefficient is suitable and appropriate for further analysis.
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