Abstract
Leakage problems are common in the water supply pipeline system, which will threaten the health of residents and cause economic losses. Negative pressure wave (NPW) technology calculates the time difference through the inflection point to locate the leak. However, due to the nonlinear and nonstationary characteristics of the pressure signal, it is difficult to obtain an accurate inflection point of the NPW by the traditional method. Therefore, the advantages of applying variational mode decomposition (VMD) in NPW technology are explored. Firstly, the correlation coefficient and permutation entropy (PE) are used for effective intrinsic mode function (IMF) component selection and parameter optimization. Thus, an adaptive denoising method based on VMD (AD‐VMD) is presented. Then, to effectively separate the detail features of the NPW, a novel inflection point extraction method based on VMD (IPE‐VMD) is proposed. Simulation and experimental results show that AD‐VMD can effectively suppress noise interference and conserve the mutation characteristic of the leakage. IPE‐VMD can obtain a distinct maximum peak at the inflection point and has good robustness to noise interference. This method can calculate the time difference precisely and stably. In addition, the accuracy of the leak location is verified. The average relative positioning error is 5.13%.
Highlights
With the rapid advancement of urbanization, water supply pipelines play an important role in the survival and development of modern urban civilization
In order to investigate the influence of noise on leak location, the effectiveness of inflection point extraction of the original Negative pressure wave (NPW) signal is analyzed
This paper investigates the application effects of variational mode decomposition (VMD)-based NPW signal denoising and inflection point extraction methods in the leak location of the water supply pipeline
Summary
With the rapid advancement of urbanization, water supply pipelines play an important role in the survival and development of modern urban civilization. Water supply pipelines have provided the basic guarantee for the survival of more than 4 billion people worldwide. The pipeline may be affected by water hammering, aging, and weld defects during operation [1, 2]. These factors will inevitably cause pipeline failures, which will lead to leakage. The loss rate of water supply in some Asian cities has even exceeded 50%, such as Manila (PH) [4]. Pipeline leakage will seriously waste water resources and cause additional economic losses. To reduce the hazards and losses caused by leakage, exploring some effective methods to accurately detect the leakage location is meaningful
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