Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals
Sign Up to like & getrecommendations! Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.107108
Abstract: Abstract Collecting data from mechanical systems in abnormal conditions is expensive and time consuming. Consequently, fault detection approaches based on classical supervised learning working with both normal and abnormal data are not applicable in some… read more here.
Keywords: generative adversarial; detection; convolutional generative; fault detection ... See more keywords