DocumentCode :
3414893
Title :
Optimization of Sensor Locations and Sensitivity Analysis for Engine Health Monitoring Using Minimum Interference Algorithms
Author :
Cotae, Paul ; Yalamanchili, Sireesha ; Chen, C. L Philip
Author_Institution :
Univ. of Texas at San Antonio, San Antonio
fYear :
2007
fDate :
16-18 April 2007
Firstpage :
1
Lastpage :
6
Abstract :
The global optimization of sensor locations and a sensitivity analysis based on the minimization of interferences due to wireless communications between sensors is studied. We used a Gram matrix approach for robust determination of sensor locations by minimizing the interferences (maximizing the signal strength) among sensors. Based on the spectral condition on the Frobenius norm the optimal sensor location and the effect of the noise are investigated. We address the problem of optimization and sensitivity analysis in the context of system of systems where each sensor is an independent system having communications capabilities. We particularize our proposed methodology for one engine health monitoring system. The mathematical formalism is verified by simulations.
Keywords :
engines; maintenance engineering; matrix algebra; minimisation; monitoring; sensitivity analysis; wireless sensor networks; Frobenius norm; Gram matrix approach; engine health monitoring system; interference minimization; minimum interference algorithms; optimal sensor location; sensitivity analysis; sensor network; system identification; wireless communications; Computerized monitoring; Context modeling; Engines; Interference; Laboratories; Observability; Sensitivity analysis; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks; Fisher information matrix; Gram matrix; interference algorithms; optimum placement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System of Systems Engineering, 2007. SoSE '07. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
1-4244-1159-9
Electronic_ISBN :
1-4244-1160-2
Type :
conf
DOI :
10.1109/SYSOSE.2007.4304321
Filename :
4304321
Link To Document :
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