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EKF-based leak diagnosis schemes for pipeline networks ?

机译：用于管道网络的基于EKF的泄漏诊断方案 ？

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This work proposes a two-step-based methodology to identify leak parameters in pipeline networks. Since complex networks consist of series and branching junctions, those two basic structures are here studied. The method relies on the availability of pressure head and flow rate measurements at the inlet as well as at all delivery points of the network for each case. As a first step theregionwhere the leak occurs is identified on the basis of a residual analysis of flow rate which is generated between a faulty system and a nominal model. In a second step, the leak parameters are identified via the use of so-called extended Kalman filters by relying on an observability property fulfilled for both configurations. It should be mentioned that although the problem could be solved without the first step, this two-step approach simplifies the observer design, avoiding the need to sweep all possible branch positions of the leak. As illustrative examples, cases of both configurations are provided via simulation.
机译：这项工作提出了一个基于两步的方法来识别管道网络中的泄漏参数。由于复杂的网络由串联和分支结组成，因此在此研究这两个基本结构。该方法取决于每种情况下入口以及网络所有输送点的压头和流量测量值的可用性。第一步，根据故障系统和标称模型之间产生的流量残差分析，确定发生泄漏的区域。在第二步骤中，通过使用所谓的扩展卡尔曼滤波器来识别泄漏参数，这取决于两个配置都满足的可观察性。应该提到的是，尽管无需第一步就可以解决问题，但这种两步方法简化了观察者的设计，避免了需要扫除泄漏的所有可能分支位置。作为说明性示例，通过仿真提供了两种配置的情况。

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