Incremental perceptual vibration hashing autoencoder for machine condition monitoring
fajia li,
xiaoguang li,
haining liu
et al.
Abstract:Feature extraction is of significant importance for machine condition monitoring, which extracts the potential machine condition information from monitored data. Autoencoder can extract the inherent structural feature in data, thus widely used for feature extraction from vibration signals. However, the training of autoencoder is a time-consuming process. Especially when facing a practical condition monitoring application in which numerous abnormal conditions emerge successively, an autoencoder needs to be retr… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.