Application of Damping-Boundary-based PSO to MFL Signal Inversion

An efficient optimum method using Particle Swarm Optimization (PSO) algorithm is presented for solving inverse problems in Magnetic flux leakage (MFL) non-destructive evaluation. In this paper, the six existing boundary conditions are compared in terms of the average gbest value and convergence rate. Damping-boundary-based PSO (DBPSO) is utilized to determine the parameters of defect. Experimental results demonstrate that the proposed inverse algorithm can reconstruct the defect geometry parameters correctly and speedily, so DBPSO is promising for MFL signal inverse problem.