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Exact(14)
Several works reported in scientific literature, deal with identification of defects in FMs.
The impact-echo method has been widely applied to identification of defects in concrete.
This work examines the identification of defects in anisotropic laminated composite structures using the boundary element method (BEM) from incomplete static response data including noise effects.
This work presents an experimental and theoretical identification of defects and morphologies of a high-angle near-90° tilt Si (¯110)// 001) boundary created by direct wafer bonding.
The experimental results demonstrated the identification of defects such as empty holes, a hole filled with stucco, subsurface delaminations and natural features such as a wood knot and wood grain in different layers of the sample.
A bacterial colony chemotaxis (BCC) optimization algorithm and a radial basis function (RBF) neural network (NN) are applied to the thermal NDT/E for the identification of defects parameters.
Similar(46)
Software defect prediction is important for identification of defect-prone parts of a software.
The detection and identification of defect structures and contaminants is crucial for many industrial applications.
The identification of defect parameters in thermal non-destructive test and evaluation (NDT/E) was considered as a kind of inverse heat transfer problem (IHTP).
The mixed signals of defects and support plate are processed with the similarity analysis strategy and the identification of defect signals is performed by means of both a neural network approach and a statistic method.
A state-space approach (Gandossi & Simola 2006; Khan & Ramuhalli 2008; Kaipio & Somersalo 2005) based on Bayesian theory has been applied for the identification of defect properties.
More suggestions(12)
identification of gap
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identification of individuals
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localization of defects
identification of mistakes
identification of flaws
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