Identification of Damage in a Wind Turbine Blade Using Mechanical Measurements and Artificial Neural Networks
P Koutsianitis, M Paterakis… - Journal of Data …, 2024 - ojs.bonviewpress.com
Due to the stochastic nature of environmental loadings, a lot of interest is paid in the
discovery of possible damages of the involved equipment in modern industry. In wind …
discovery of possible damages of the involved equipment in modern industry. In wind …
Scaled boundary finite element based two-level learning approach for structural flaw identification
A comprehensive framework that combines classification and regression techniques through
machine learning (ML) algorithms to address the inverse problem of flaw identification and …
machine learning (ML) algorithms to address the inverse problem of flaw identification and …
Semi-analytical analysis of nonlinear liquid sloshing in rectangular tanks with scaled boundary finite element method
This study presents a novel semi-analytical model for nonlinear liquid sloshing response of
two-dimensional (2D) liquid storage tanks in the context of the scaled boundary finite …
two-dimensional (2D) liquid storage tanks in the context of the scaled boundary finite …
A collaborating approach for hole detection with the numerical manifold method and Elman neural network
GY Zheng, CL Li, DL Guo, HH Zhang, XL Ji… - … Analysis with Boundary …, 2024 - Elsevier
Structural health monitoring plays a significant role in the field of public safety, of which flaws
(such as holes and cracks) identification is a very challenging topic. In this work, an inverse …
(such as holes and cracks) identification is a very challenging topic. In this work, an inverse …