A combined deep learning model for damage size estimation of rolling bearing
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Engine Research"
DOI: 10.1177/14680874221086601
Abstract: The identification of damage sizes based on vibration monitoring data is significant in the study of fault evolution, prediction and diagnosis of rolling bearing. There are inherent restrictions in traditional identification models such as high… read more here.
Keywords: damage size; rolling bearing; deep learning; damage ... See more keywords
Optical model-based calibration of gray levels for laser damage size assessment.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.481048
Abstract: Fused silica is prone to damage under ultraviolet laser irradiation. Because they are key components to achieve fusion on high energy laser facilities, final fused silica optics are analyzed after each laser shot. The quantification… read more here.
Keywords: damage size; laser damage; damage; calibration ... See more keywords