Research on fault detection of FPSO production process based on the kernel function

FPSO(Floating Production Shortage and Offloading) production process fault detection method based on a combination of kernel functions with multivariate statistical is introduced. Kernel function mapping the nonlinear problem is converted into a high-dimensional linear feature space analysis and mapping data in high-dimensional space to extract the nonlinear characteristics to identify the fault. The experimental results show that the kernel function combined with multivariate statistical methods for the FPSO production process fault detection are very effective.