Optimal sensor placement based on QR decomposition and genetic algorithm

摘要

To optimize sensor placement for acoustic radiation prediction andenhance completeness of data in model test, a method is proposedbased on QR decomposition and genetic algorithm in this article.Firstly, the candidate measurement points are obtained based on QRdecomposition of the modal matrix, and then these points are furtherfiltered by the genetic algorithm. Finally, the possibility of producinggood individuals in the evolution is increased via the optimalreplacement strategy. By comparing the forecast results with thegenetic algorithm and uniform sensor placement, the approach of thispaper shows higher accuracy and takes less time on computing.