Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Optimization of Sensor Locations and Sensitivity Analysis for Engine Health Monitoring Using Minimum Interference Algorithms | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 280346 9 pages doi 2008 280346 Research Article Optimization of Sensor Locations and Sensitivity Analysis for Engine Health Monitoring Using Minimum Interference Algorithms Paul Cotae Sireesha Yalamnchili C. L. Philip Chen and Arturo Ayon Department of Electrical and Computer Engineering Wireless Sensor Network Laboratory University of Texas at San Antonio 6900 North Loop 1604 West San Antonio TX 78249-0669 USA Correspondence should be addressed to Paul Cotae Received 10 June 2007 Revised 20 August 2007 Accepted 8 October 2007 Recommended by Erchin Serpedin 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. Copyright 2008 Paul Cotae et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION The problem of sensor .
