Publication
Decentralised fault diagnosis of large-scale systems: Application to water transport networks
Conference Article
Conference
International Workshop on Principles of Diagnosis (DX)
Edition
26th
Pages
99-104
Doc link
File
Abstract
In this paper, a decentralised fault diagnosis approach for large-scale systems is proposed. This approach is based on obtaining a set of local diagnosers using the analytical redundancy relation (ARRs) approach. The proposed approach starts with obtaining the set of ARRs of the system yielding into an equivalent graph. From that graph, the graph partitioning problem is solved obtaining a set of ARRs for each local diagnoser. Finally, a decentralised fault diagnosis strategy is proposed and applied over the resultant set of partitions and ARRs. In order to illustrate the application of the proposed approach, a case study based on the Barcelona drinking water network (DWN) is used.
Categories
automation, observability, optimisation.
Author keywords
partitioning, fault diagnosis, fault isolation, industrial process, drinking water networks
Scientific reference
V. Puig and C. Ocampo-Martínez. Decentralised fault diagnosis of large-scale systems: Application to water transport networks, 26th International Workshop on Principles of Diagnosis, 2015, Paris, pp. 99-104.
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