1995
DOI: 10.1002/aic.690411007
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Redundant sensor network design for linear processes

Abstract: Measurements of process variables have a considerable impact on

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Cited by 74 publications
(71 citation statements)
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“…This objective function was extended to include hardware redundancy (measuring a variable using more than one sensor) and spatial redundancy (more than one way of estimating a variable) (ref. 16). Within the graph theory algorithm, the sensor network can be optimized with respect to only a single criterion; therefore, this objective function was adapted for processing with genetic algorithms (ref.…”
Section: B Sensor Reliability/sensor Fault Robustnessmentioning
confidence: 99%
“…This objective function was extended to include hardware redundancy (measuring a variable using more than one sensor) and spatial redundancy (more than one way of estimating a variable) (ref. 16). Within the graph theory algorithm, the sensor network can be optimized with respect to only a single criterion; therefore, this objective function was adapted for processing with genetic algorithms (ref.…”
Section: B Sensor Reliability/sensor Fault Robustnessmentioning
confidence: 99%
“…Even though reliabilities are functions of time, in the typical sensor network design literature (Ali & Narasimhan, 1993, 1995, 1996, constant values of reliabilities have been considered. The sensor network design problem then is: given (constant) sensor reliabilities, choose variables to be measured so as to maximize R. The given sensor reliabilities can be thought of as corresponding to an arbitrary time t. Scaling issues in reliability framework.…”
Section: Sensor Network Design For Maximizing Network Reliabilitymentioning
confidence: 99%
“…In the sensor network design literature, the concepts of reliability and network reliability were formalized in Ali and Narasimhan (1993). The concept of network reliability (Ali & Narasimhan, 1993, 1995, 1996 accounted for sensor failures and also indirectly incorporated the observability criterion. This work (Ali & Narasimhan, 1993, 1995, 1996 used a graph theory-based greedy search algorithm to obtain the most reliable sensor network.…”
Section: Introductionmentioning
confidence: 99%
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