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In this work, we present an automated inspection approach to assist remote visual examinations of nuclear power plant components. An automated approach would require detecting often low contrast cracks that could be surrounded by or even within textures with similar appearances such as welding, scratches, and grind marks. We propose a crack segmentation method for remote visual examination videos...
Robust inspection is important to ensure the safety of nuclear power plant components. An automated approach would require detecting often low contrast cracks that could be surrounded by or even within textures with similar appearances such as welding, scratches and grind marks. We propose a crack detection method for nuclear power plant inspection videos by fine tuning a deep neural network for detecting...
The electric power utilities as important social infrastructures should be operated stably without any failure in supply of electricity. For stable operation, it is necessary to input huge amount of resource and investment throughout power generation, transmission and distribution facilities. Particularly, constant inspection and maintenance of the facilities requires highly skilled manpower and advanced...
Robust inspection is important to ensure the safety of nuclear power plant components. Manually inspecting 100+ hours of video for rarely occurring cracks is a tedious process. However, automatic inspection is challenging as the images often contain highly textured area including weld and concrete surface which causes fragmented and noisy segmentations. Moreover, lack of crack samples cause challenges...
Access to components in nuclear power plants for inspection is often difficult due to cluttered environments. A continuum robotic manipulator is very flexible and can maneuver its way in narrow and winding space to reach a target spot. The video demonstrates how a continuum manipulator carrying an inspection device at its tip can be used for inspection of the entire surface of a pipe-like structure...
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