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In this paper, a decentralized fault diagnosis algorithm for large scale systems is proposed. The fault diagnosis algorithm starts with obtaining a set of ARRs (analytical redundancy relations) from the system model and available sensors. These ARRs are converted into a graph that is divided into various subgraphs using a partition algorithm. From various subgraphs, different fault signature matrices are obtained. This allows designing a decentralized fault diagnosis system by using a local diagnoser for each subsystem and a global one for coordination. Entire proposed decentralized fault diagnosis algorithm is divided into five different blocks. In order to illustratethe application of the proposed algorithm, a casestudy based on the Barcelona water network is used.

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