Sen, Sujoy ; Narasimhan, Shankar ; Deb, Kalyanmoy (1998) Sensor network design of linear processes using genetic algorithms Computers & Chemical Engineering, 22 (3). pp. 385-390. ISSN 0098-1354
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Official URL: http://www.sciencedirect.com/science/article/pii/S...
Related URL: http://dx.doi.org/10.1016/S0098-1354(97)00242-1
Abstract
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 combination 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 demonstrates the versatility of this method.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Elsevier Science. |
| Keywords: | Sensor Network; Observability; Cost; Reliability; Accuracy; Graph Theory; Genetic Algorithms |
| ID Code: | 75153 |
| Deposited On: | 22 Dec 2011 03:07 |
| Last Modified: | 22 Dec 2011 03:07 |
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