If sensors are arranged unreasonable in the monitoring system,the dat a validity collected by sensors will be affected,and the accuracy of the damage identi fication will be reduced.Based on the above consideration,an airplane structural health monitori ng system based on the fiber Bragg grating (FBG) sensor network is taken as research object,the gr adual accumulation method and support vector regression algorithm are used to optimize the arrangem ent and numbers of the fiber Bragg grating sensors in this paper.Firstly,the finite el ement model of the airplane structure is built by using Ansys mechanics simulation software,and ce rtain loads are applied on different positions of the airplane structure.Secondly,the arrangem ent of the fiber Bragg grating sensors is optimized with the simulation data.Finally, the experimental system is built to verify the simulation results.The results indicate that the experiment is consistent with the simulation,corresponding to the initial arrangement mode of the fiber Bragg grating sensor network.The optimized fiber Bragg grating sensor network can ado pt relatively few fiber Bragg grating sensors in the same monitoring system with predicting accura cy.Simultanely,with the same number of fiber Bragg grating sensors,the optimized fiber Bragg grati ng sensor network can obtain the higher monitoring accuracy.