?url_ver=Z39.88-2004&rft_id=10.1016%2Fj.chemolab.2020.104143&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aulast=Henry&rft.au=Henry%2C+Y.Y.S.&rft.aufirst=Y.Y.S.&rft.atitle=Detection+and+severity+identification+of+control+valve+stiction+in+industrial+loops+using+integrated+partially+retrained+CNN-PCA+frameworks&rft.volume=206&rft.issn=01697439&rft.date=2020&rft.title=Chemometrics+and+Intelligent+Laboratory+Systems&rft.genre=article