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Distributed fault diagnosis using minimal structurally over-determined sets: Application to a water distribution network

机译:使用最小结构过度确定的集合:应用于水分配网络的分布式故障诊断

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In this paper, a distributed fault diagnosis algorithm for large scale systems using agents has been proposed. In the off-line phase, this fault diagnosis approach starts from obtaining the minimal structurally over-determined (MSO) sets using the system model and the set of available sensors. These MSO sets are converted into a graph. This graph is further divided into various subgraphs using a partition algorithm. Each subgraph corresponds to a subsystem. From various subgraphs, different local fault signature matrices for various subsystems are obtained. Finally, in the on-line phase, using various local fault signature matrices, a set of diagnoser agents are created that allow the global diagnosis in a large scale system. The entire proposed distributed fault diagnosis approach is divided into five different blocks. In order to illustrate the application of the proposed approach, a case study based on the Barcelona drinking water network (DWN) is used.
机译:本文提出了一种使用代理的大型系统的分布式故障诊断算法。在离线阶段,使用系统模型和可用传感器集开始,该故障诊断方法开始从获得最小的结构上过确定的(MSO)集。这些MSO集被转换为图形。该图进一步划分为使用分区算法的各种子图。每个子图对应于子系统。从各种子图,获得各种子系统的不同局部故障签名矩阵。最后,在线阶段,使用各种本地故障签名矩阵,创建了一组诊断代理,其允许在大规模系统中全局诊断。整个建议的分布式故障诊断方法分为五个不同的块。为了说明所提出的方法的应用,使用基于巴塞罗那饮用水网络(DWN)的案例研究。

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