Visual analytics for process monitoring: Leveraging time-series imaging for enhanced interpretability

Library

UBC Faculty Research and Publications

The full abstract for this item is available in the body of the item, and will be available when the embargo expires.

Title	Visual analytics for process monitoring: Leveraging time-series imaging for enhanced interpretability
Creator	Yousef, Ibrahim; Tulsyan, Aditya; Shah, Sirish L.; Gopaluni, Bhushan
Date Issued	2023-11-25
Description	The full abstract for this item is available in the body of the item, and will be available when the embargo expires.
Subject	Fault detection and diagnosis (FDD); Deep learning; Image analysis; Time-Series imaging; Convolutional neural networks (CNNs); Applications
Genre	Article; Postprint
Type	Text
Language	eng
Date Available	2025-11-23
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0448238
URI	http://hdl.handle.net/2429/90526
Affiliation	Applied Science, Faculty of; Non UBC; Chemical and Biological Engineering, Department of
Citation	Yousef, I., Tulsyan, A., Shah, S. L., & Gopaluni, R. B. (2023). Visual analytics for process monitoring: Leveraging time-series imaging for enhanced interpretability. Journal of Process Control, 132.
Publisher DOI	10.1016/j.jprocont.2023.103127
Peer Review Status	Reviewed
Scholarly Level	Faculty; Graduate
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

This item is embargoed until 2025-11-23, you need to request access to be able to view the item's media before that date.

Metadata for this item will be available for download when the embargo expires.

Attribution-NonCommercial-NoDerivatives 4.0 International