Abstract
Abstract This paper presents a new burst detection and location technique for pressurized pipelines based on an extension of the Differential Evolution (DE) algorithm. The proposed approach addresses the burst location problem as an optimization task, by considering the dynamic model that describes the behavior of a fluid through a pipeline and the presence of fluid losses produced by a burst. The optimization problem relies on finding suitable estimations related to the burst parameters, i.e. magnitude, pressure and position of a burst, while a defined cost function is minimized. In order to deal with this problem, three strategies are proposed to extend and adapt the DE algorithm: (i) an informed definition of the physical restrictions of the problem according to the pipeline characteristics; (ii) a training stage of the algorithm that allows to find the appropriate synthesis parameters; (iii) a multi-start structure, in order to track dynamical variations of the problem. Experiments on a pipeline prototype illustrate the results obtained by the proposed algorithm on the estimation of the burst parameters, comparing its performance with an algorithm based on the Extended Kalman Filter, which is widely used in the literature.
Highlights
In order to achieve feasible solutions with a low number of iterations, the present paper proposes a three-step procedure to improve the adaptation of the classical Differential Evolution (DE) algorithm in the Burst Diagnosis and Location (BDL) problem
An extended version of the DE algorithm is proposed to address the burst detection and localization problem, where the problem relies on estimating the parameters related to a burst occurrence
The experimental results obtained from the used pipeline prototype show that the proposed DE algorithm is a suitable method to estimate the burst parameters under different practical scenarios
Summary
It is convenient to use algorithms developed under different estimation techniques that can work in parallel (analytical redundancy) in order to offer a more informed and reliable diagnosis (Carvajal-Rubio & Begovich ; Santos-Ruiz et al ) This fact motivates the development of new techniques to address the burst detection and location problem in transmission pipelines. In order to achieve feasible solutions with a low number of iterations, the present paper proposes a three-step procedure to improve the adaptation of the classical DE algorithm in the BDL problem These steps are: first, the boundaries of the search space are carefully proposed as a set of restrictions of the optimization problem according to the physical characteristics and mechanical properties of the pipeline.
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