A Fuzzy Error Characterization Approach for Crack Depth Profile Estimation in Metallic Structures Through ACFM Data
作者： Danial Katoozian , Reza P. R. Hasanzadeh
DOI: 10.1109/TMAG.2017.2701314
关键词: Fuzzy control system 、 Algorithm 、 Alternating current field measurement 、 Fuzzy logic 、 Inverse problem 、 Computer science 、 Process (computing) 、 Metal 、 Nondestructive testing
摘要: The estimation of fatigue crack depth profile is one the most important issues in nondestructive evaluation techniques. In this regard, providing a method which able to determine error rate will be significant. Although several methods have been proposed estimate with reasonable accuracy, these mentioned are unable process. paper, eliminate drawbacks, first and second fuzzy approximation methodology surface an arbitrary metallic structures based on alternating current field measurement signals. method, it feasible achieve definite under evaluation. Next, accuracy least computational complexity simultaneously, solution for presented paper. Finally, results common compared paper analytical experimental forms.
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