Health State Diagnosis and Prognostics based on Hidden Markov Model on ArcelorMittal's galvanizing line. Issue 11 (2021)

• Record Type: Journal Article
• Authors: Simon, Christophe; Theilliol, Didier; Khelassi, Ahmed; Weber, Philippe
• Is Part Of: IFAC-PapersOnLine. Volume 54:Issue 11(2021)
• Page Start: 61
• Page End: 66
• Publication Date: 2021
• Subjects: Health State -- Diagnostic -- Pronostic -- Production line -- Galvanizing lines; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2021.10.051
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In order to optimize the maintenance operations and limit the impact of material wearing on the galvanizing coating quality and defects, this paper proposes a data-driven model to estimate the remaining useful life of a roller system immersed in a galvanizing bath. The proposed model comes from the Hidden Markov Model family and is trained in non-supervised mode. The pros and drawbacks are given, in conclusion, for a possible use in a control loop.