SHM deformation monitoring for high-speed rail track slabs and Bayesian change point detection for the measurements

Fiber Bragg grating (FBG) technology has significant advantages in anti-electromagnetic interference and is suitable for structural health monitoring (SHM) high-speed rail (HSR). In this paper, a deformation system based on FBG designed HSR track slab. Regarding to the possible large of slab, Bayesian change point detection (CPD) method adopted detect points data sequence posterior probability distribution can also be derived. The CPD algorithm directly sample simulate from determine corresponding parameters regression model, as well yielding uncertainty evaluation. SHM was implemented segment Lanzhou-Xinjiang line China carry out measurement slab deformation. Results shows that resist strong electromagnetic operation environment versine over two months target extracted measurement. Through information method, which have highest identified slabs, essential investigating cause providing maintenance plan time.