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A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Machine vision has a wide range of applications in the field of welding. The rise of convolutional neural network (CNN) provides a new way to extract visual features of welding. Due to the limitation of the small size of ...
Fast Reconstruction Method of the Stress Field for the Steam Turbine Rotor Based on Deep Fully Convolutional Network
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Since it is difficult to directly measure the transient stress of a steam turbine rotor in operation, a rotor stress field reconstruction model based on the deep fully convolutional network for the startup process is ...
Water Droplet Erosion Life Prediction Method for Steam Turbine Blade Materials Based on Image Recognition and Machine Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, a method for predicting remaining useful life (RUL) of turbine blade under water droplet erosion (WDE) based on image recognition and machine learning is presented. Using the experimental rig for testing the ...