Abstract
Dear Editor, This letter proposes a process-monitoring method based on temporal feature agglomeration and enhancement, in which a novel feature extractor called contrastive feature extractor (CFE) extracts the temporal and relational features among process parameters. Then the feature representations are enhanced by maximizing the separation among different classes while minimizing the scatter within each class.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
