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Título:
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Model- vs. data-based approaches applied to fault diagnosis in potable water supply networks
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Autor/a:
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Cugueró, Miquel Àngel; Quevedo Casín, Joseba Jokin; Alippi, Cesare; Roveri, Manuel; Puig Cayuela, Vicenç; García Valverde, Diego; Trovò, F
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control; Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control |
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Abstract:
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In this paper, the problem of fault diagnosis in drinking water transport networks
(DWTNs) is addressed. Two different fault diagnosis approaches are proposed to deal
with this problem. The first one is based on a model-based approach exploiting a-priori
information regarding physical/temporal relations existing between the measured variables
in the monitored system, providing fault detection and isolation capabilities by
means of the residuals generated using these measured variables and their estimations.
This a-priori information is provided by the topology and the physical relations between
the elements constituting the system, which is used by design in order to derive
fault diagnosis. Differently, the second approach does not require the physical a-priori
information of the network to operate. It relies on a data-driven solution meant to exploit
the spatial and temporal relationships present in the acquired data streams to detect
and isolate faults. Relationships between data streams are modelled through sequences
of linear dynamic time-invariant models whose estimated coefficients are used to feed
a Hidden Markov Model (HMM). When the pattern of estimated coefficients cannot be
explained by the trained HMM, a change is detected. Afterwards, a cognitive method
based on a functional graph representation of the system isolates the fault. Finally, a
performance comparison between these two approaches is carried out using a part of
the Barcelona water transport network. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Automàtica i control
-Markov processes
-Errors
-Water-supply
-Drinking water
-cognitive systems
-critical infrastructure systems
-fault isolation
-hidden Markov models
-model-based fault diagnosis
-time series
-Markov, Processos de
-Errors
-Aigua--Abastament
-Aigua potable |
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Derechos:
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Tipo de documento:
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Artículo - Versión presentada
Artículo |
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