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This paper uses a reduced model for simulating signal propagation in fluid filled pipelines. The study allows a better understanding of the multipath environment found in a pipeline system with the goal of finding optimum solutions for monitoring the pipeline integrity. Data provided both from the simplified model and from an equivalent experimental pipeline installation are implemented using classical...
Real leak signals, acquired in industrial pipeline systems may manifest two typical non stationary signatures, due to the disturbing noise: abrupt amplitude random changes on one side and a time varying mean on the other side. This paper proposes a pre-processing algorithm for extracting stationary information from the received signals, in order to improve the leak location on the pipe. This method...
This paper presents a practical criterion for extracting piecewise stationary segments from pipeline leak signals, in order to better locate the leak on the pipe. The segmentation technique, that enables detecting and avoiding the non stationary abrupt, data changes, is based on computing the stationarity index (SI) function of the acquired noisy leak signals. A comparative study, involving different...
When using acoustic methods for pipeline leak locating, a problem that arises in practice, especially for small distances, is the correlated background noise due to the main stream. This noise overlaps with the primary source signal generated by the leak, causing errors in the estimation process. This paper proposes an algorithm based on using the phase data information, working directly with the...
Burst-type perturbations are an important class of disturbing interferences encountered in leak signals. Inducing a certain degree of this kind of noise in test signals, and comparing the results, can bring useful insights on how to choose the most suitable leak locating algorithm.
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