The success of any diagnosis strategy critically
depends on the sensors measuring process variables. This
paper presents a strategy based on diagnosability maximization
for optimally locating sensors in distribution networks. The
goal is to characterize and determine the set of sensors that
guarantee a maximum degree of diagnosability taking into
account a given sensor configuration cardinality constraint.
The strategy is based on the structural model of the system
under consideration. Structura...
The success of any diagnosis strategy critically
depends on the sensors measuring process variables. This
paper presents a strategy based on diagnosability maximization
for optimally locating sensors in distribution networks. The
goal is to characterize and determine the set of sensors that
guarantee a maximum degree of diagnosability taking into
account a given sensor configuration cardinality constraint.
The strategy is based on the structural model of the system
under consideration. Structural analysis is a powerful tool for
determining diagnosis possibilities and evaluating whether the
number and the location of sensors are adequate in order to meet some diagnosis specifications. The proposed approach is successfully applied to leakage detection in a Drinking Water Distribution Network.
Citation
Sarrate, R.; Nejjari, F.; Rosich, A. Sensor placement for fault diagnosis performance maximization in distribution networks. A: Mediterranean Conference on Control and Automation. "20th Mediterranean Conference on Control & Automation". Barcelona: 2012, p. 110-115.
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