A generalized sensor network design algorithm for finding the optimal
placement of sensors in a linear mass flow process has been developed
and implemented. The algorithm developed in this work is based on a co
mbination of concepts drawn from graph theory and genetic algorithms.
The sensor network is designed to optimize a single criterion of cost,
reliability or estimation accuracy, using a minimum number of sensors
. Application to a steam-metering network of a methanol plant demonstr
ates the versatility of this method. (C) 1998 Elsevier Science Ltd. Al
l rights reserved.