A Kernel Connectivity-based Outlier Factor Algorithm for Rare Data Detection in a Baking Process

Wang, Y, Li, K orcid.org/0000-0001-6657-0522 and Gan, S (2018) A Kernel Connectivity-based Outlier Factor Algorithm for Rare Data Detection in a Baking Process. In: Qin, SJ, Bequette, BW, Biegler, LT, Guay, M, Findeisen, R, Wang, J and Zavala, V, (eds.) IFAC-PapersOnLine. ADCHEM 2018: 10th IFAC Symposium on Advanced Control of Chemical Processes, 25-27 Jul 2018, Shenyang, China. IFAC , pp. 297-302.

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Copyright, Publisher and Additional Information: © 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in IFAC-PapersOnLine. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Energy monitoring system; COF; LOF; kernel functions
Dates:
  • Published: 8 October 2018
  • Accepted: 23 March 2018
  • Published (online): 8 October 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 26 Nov 2018 11:27
Last Modified: 08 Mar 2019 15:16
Status: Published
Publisher: IFAC
Identification Number: https://doi.org/10.1016/j.ifacol.2018.09.316

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