Abstract：Electrical impedance tomography (EIT) has many advantages such as fast speed and no radiation, and has gradually emerged in the research of carbon fiber reinforced composite materials in recent years. The serious pathological nature of the inverse problem of EIT leads to the phenomenon of missing damaged edge information in the reconstructed images of algorithms such as FISTA. An adaptive threshold operator related to the sparsity of the solution vector and a variable threshold function have been introduced to address the above issues, solving problem of non differentiability at the edges of the soft threshold function. The simulation experiment shows that compared with traditional algorithms, the improved algorithm performs the best overall. For the center crack damage with poor image reconstruction performance of traditional algorithms, the correlation coefficient of the FIMSTA algorithm reaches 0.7038, which is 51.08% higher than the best performing FISTA algorithm.
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2024, Vol. 45 
