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Robust sensor network design for fault diagnosis

DSpace at IIT Bombay

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Field Value
 
Title Robust sensor network design for fault diagnosis
 
Creator BHUSHAN, MANI
NARASIMHAN, SRIDHARAKUMAR
RAGHUNATHAN, RENGASWAMY
 
Subject failure analysis
fault detection
robust control
optimization
 
Description An appropriately designed sensor network is crucial for the success of any fault diagnostic strategy. Strategies for optimally locating sensors based on reliability-maximization and cost-minimization exist. While reliability and cost criteria have been used in selecting optimal sensor networks, the robustness of the network to uncertainties/errors in the underlying model and probability data have not been considered. In this article, we present robustness enhancing criteria for the design of sensor networks for reliable fault diagnosis. Robustness to modeling errors is incorporated by choosing a distributed sensor network. Robustness to available probability data is incorporated by minimizing the unreliability of fault detection with uncertain probability data. These criteria are incorporated in a lexicographic manner along with the overall reliability-maximization and cost-minimization objectives in a single optimization problem. Solution to this optimization problem results in a solution that is most reliable, robust and cost minimal in a lexicographic sense. The utility of the proposed approaches is demonstrated through the Tennessee Eastman case study.
 
Publisher Elsevier
 
Date 2009-02-16T04:42:13Z
2011-11-25T16:54:24Z
2011-12-26T13:05:32Z
2011-12-27T05:52:40Z
2009-02-16T04:42:13Z
2011-11-25T16:54:24Z
2011-12-26T13:05:32Z
2011-12-27T05:52:40Z
2008
 
Type Article
 
Identifier Computers and Chemical Engineering 32(4-5), 1067-1084
0098-1354
http://dx.doi.org/10.1016/j.compchemeng.2007.06.020
http://hdl.handle.net/10054/648
http://dspace.library.iitb.ac.in/xmlui/handle/10054/648
 
Language en