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00925njm 22002777a 4500 dc Gupta, Vikas author Puig Cayuela, Vicenç author 2016 © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 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. Accepted version Àrees temàtiques de la UPC::Informàtica Water-supply -- Automatic control Fault diagnosis Large-scale systems Aigua -- Abastament -- Control automàtic Decentralized fault diagnosis using analytical redundancy relations: Application to a water distribution network