Abstract
In this paper, we propose a novel time reversal-based localization method for pipeline leakage. In the proposed method, a so-called TR self-adaptive cancellation is developed to improve the leak localization resolution. First of all, the proposed approach time reverses and back-propagates the captured signals. Secondly, the time reversed signals with the various coefficients are superposed. Due to the synchronous temporal and spatial focusing characteristic of time reversal, those time reversed signals will cancel each other out. Finally, the leakage location is distinguished by observing the energy distribution of the superposed signal. In this investigation, the proposed method was employed to monitor a 58 m PVC pipeline. Three manually controllable valves were utilized to simulate the leakages. Six piezoceramic sensors equipped on the pipeline, recorded the NWP signals generated by the three valves. The experimental results show that the leak positions can accurately revealed by using the proposed approach. Furthermore, the resolution of the proposed approach can be ten times that of the conventional TR localization method.
Highlights
Structural health monitoring (SHM) is a newly developed research field devoted to the monitoring and assessment of structural health and durability
The initial upward edge of the pulse indicates the drop of internal pressure associated with the negative pressure wave (NPW), while the downward edge means the internal pressure settling at a new baseline pressure
In the signal processing phase, all NPW signals generated the leakages are processed by using the conventional time reversal (TR) localization algorithms and the proposed algorithm, respectively
Summary
Structural health monitoring (SHM) is a newly developed research field devoted to the monitoring and assessment of structural health and durability. Li et al, developed a novel localization algorithm based on the attenuation of negative pressure wave [45] Those methods aimed to improve the location error via suppressing the noise [44,45]. No matter that the localization methods are based on the time delay estimation [42,43,44] or the attenuation of negative pressure wave [45], most of them merely revealed the leakage positions. That means the proposed approach can improve the resolution, compared to the conventional one
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