Details

Autor(en) / Beteiligte

• Han, Wen-Hua
• Que, Pei-Wen

Titel

2-D defect reconstruction from magnetic flux leakage signals based on a genetic optimization algorithm

Ist Teil von

• Zhongguo shi you da xue xue bao. Zi ran ke xue ban, 2006-02, Vol.30 (1), p.138-141

Erscheinungsjahr

2006

Beschreibungen/Notizen

• In magnetic flux leakage (MFL) nondestructive evaluation, a crucial problem was signal inversion, i. e. , the defect profile and its parameters are recovered from measured signals. An inverse algorithm based on genetic algorithm was proposed for reconstructing 2-D defect from MFL signals. In the algorithm, radial-basis function (RBF) neural network was utilized as forward model, and genetic algorithm was used to solve the optimization problem in the inverse problem, which can avoid the local minimum solution possibly encountered in the iterative inverse algorithm based on gradient descent and consequently achieve the global optimized solution of the inverse problem. Experimental results verify the validity of the proposed inversion algorithm.