Document Type
Conference Proceeding
Publication Date
8-2005
Publication Title
International Conference on Systems Engineering
Abstract
Many science and management problems can be formulated as global optimization problems. Conventional optimization methods that make use of derivatives and gradients are not, in general, able to locate or identify the global optimum. Sometimes these problems can be solved using exact methods like brute force. Unfortunately, these methods become computationally intractable because of multidimensional search spaces. Hence, the application of heuristics for a class of problems that incorporates knowledge about the problem helps solve optimization problems. Optimization of sensor selection using heuristics can lead to significant improvements in the controllability and observability of a dynamic system. The aim of this research is to investigate optimal or alternate measurement sets for the problem of aircraft gas turbine engine health parameter estimation. The performance metric is defined as a function of the steady state error covariance and the cost of the selected sensors.
Repository Citation
Mushini, Ramgopal and Simon, Daniel J., "On Optimization of Sensor Selection for Aircraft Gas Turbine Engines" (2005). Electrical and Computer Engineering Faculty Publications. 182.
https://engagedscholarship.csuohio.edu/enece_facpub/182
Original Citation
R. Mushini and D. Simon. (2005). On Optimization of Sensor Selection for Aircraft Gas Turbine Engines. International Conference on Systems Engineering, 9-14, doi: 10.1109/ICSENG.2005.61.
DOI
10.1109/ICSENG.2005.61
Version
Postprint
Publisher's Statement
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