Fault classification in the process industry using polygon generation and deep learning

Mohamed Elhefnawy, Ahmed Ragab and Mohamed-Salah Ouali

Article (2022)

An external link is available for this item

Department:	Department of Mathematics and Industrial Engineering
PolyPublie URL:	https://publications.polymtl.ca/47579/
Journal Title:	Journal of Intelligent Manufacturing (vol. 33, no. 5)
Publisher:	Springer
DOI:	10.1007/s10845-021-01742-x
Official URL:	https://doi.org/10.1007/s10845-021-01742-x
Date Deposited:	18 Apr 2023 14:59
Last Modified:	08 Apr 2025 07:14

Cite in APA 7:	Elhefnawy, M., Ragab, A., & Ouali, M.-S. (2022). Fault classification in the process industry using polygon generation and deep learning. Journal of Intelligent Manufacturing, 33(5), 1531-1544. https://doi.org/10.1007/s10845-021-01742-x
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only