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

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.