Abstract

AbstractThere is a plan for a further change to one-point identification, which includes a pipeline-ended measuring platform. The approach makes use of the frequency response and tests using low frequency bandwidth are satisfactory. This article introduces Empirical Mode Decomposition (EMD) as the technique that denotes a noisy pressure transient signal by instantaneous frequency analysis before further analysis by the signal. Thus EMD is the best way to decay from the signal into the IMF (Intrinsic Mode Function). It is nevertheless challenging to choose a fitting IMF. This is why the paper suggested the use of the Integrate Kurtosis-based Algorithm for Z-filter techniques to enable the autonomous selection of suitable IMF. Such research illustrates the mounted leakage simultaneous tubing on a 67.9-m Medium-High-Density Poly-Ethylene (MDPE) sheet. The water pressure of the experiment is about 1–4 in. The findings of the study using Normalized Ikaz have shown that the system can be used in automated IMF selection although the signal noise level ratio is lower. Standardized Ikaz is suggested to be applied as a Direct Square (DQ) study for automated detection of the intrinsic mode feature (IMF).KeywordsIkazLeakPressure transientEMDDQ

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