id: 05700863
dt: j
an: 05700863
au: Cotae, Paul; Yalamnchili, Sireesha; Chen, C.L.Philip; Ayon, Arturo
ti: Optimization of sensor locations and sensitivity analysis for engine health
    monitoring using minimum interference algorithms.
so: EURASIP J. Adv. Signal Process. 2008, Article ID 280346, 9 p. (2008).
py: 2008
pu: Springer International Publishing, Basel
la: EN
cc: 
ut: 
ci: 
li: doi:10.1155/2008/280346
ab: Summary: The global optimization of sensor locations and a sensitivity
    analysis based on the minimization of interferences due to wireless
    communications between sensors are studied in the presence of additive
    white Gaussian noise (AWGN). We used a Gram matrix approach for robust
    determination of sensor locations by minimizing the interferences
    (maximizing the signal strength) among sensors for engine health
    monitoring systems. In order to solve the problem of optimum placement,
    an iterative algorithm for maximizing the determinant of the Gram
    matrix is proposed and implemented. The sensitivity criterion proposed
    in this paper is the spectral number of the Frobenius norm of the Gram
    matrix associated with sensor readings. We derived the necessary
    conditions under which the number of sensors and the optimal sensor
    locations will remain unchanged when the data measured for sensitivity
    analysis is affected by AWGN. Our theoretical results are verified by
    simulations providing details concerning numerical implementations.
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