Transient-Based Leak Detection and Monitoring of Water Pipes Using  Complementary Ensemble Empirical Mode Decomposition (CEEMD)  Method

Muhammad Aminuddin PiRemli; Mohd Fairusham Ghazali; W. H. Azmi; M. Y. Hanafi

Authors

Muhammad Aminuddin PiRemli Faculty of Mechanical and Automotive Engineering Technology, University Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
Mohd Fairusham Ghazali Advance Structural Integrity and Vibration Research (ASIVR), University Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
W. H. Azmi Automotive Engineering Centre, University Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
M. Y. Hanafi Advance Structural Integrity and Vibration Research (ASIVR), University Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

Keywords:

Leak detection, signal processing, decomposition, CEEMD

Abstract

Transient signal occurs when there is sudden change of pressure inside the pipeline especially due to pressure surge or opening and closing valve. Decomposition method applied in this study to analyze the transient signal and remove noise that contaminate the signal. In this paper, an adaptive decomposition algorithm that is Complementary Ensemble Empirical Mode Decomposition (CEEMD) proposed in order to overcome the problem occur in Hilbert-Huang Transform (HHT) method. This method takes over the Empirical Mode Decomposition (EMD) method that purpose as pre-processing method in HHT. This improvement made to overcome mode mixing and reconstruction error that lies in EMD method. CEEMD method used to extract the IMF’s component of a contaminated signal to remove undesirable noise signal. Instantaneous analysis using Hilbert Transform (HT) apply for selected IMF to locate the feature’s position along the pipeline. The result prove that proposed decomposition method show success with the percentage of error between measured and analysed distance only below that 4% for all features extracted.