Multi-sourced modelling for strip breakage using knowledge graph embeddings

Zheyuan Chen, Ying Liu, Agustin Valera Medina, Fiona Robinson

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygl Cynhadleddadolygiad gan gymheiriaid

6 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

Strip breakage is an undesired production failure in cold rolling. Typically, conventional studies focused on cause analyses, and existing data-driven approaches only rely on a single data source, resulting in a limited amount of information. Hence, we propose an approach for modelling breakage using multiple data sources. Many breakage-relevant features from multiple sources are identified and used, and these features are integrated using a breakage-centric ontology which is then used to create knowledge graphs. Through ontology construction and knowledge embedding, a real-world study using data from a cold-rolled strip manufacturer was conducted using the proposed approach.

Iaith wreiddiolSaesneg
Tudalennau (o-i)1884-1889
Nifer y tudalennau6
CyfnodolynProcedia CIRP
Cyfrol104
Dyddiad ar-lein cynnar31 Gorff 2021
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 26 Tach 2021
Digwyddiad54th CIRP Conference on Manufacturing Systems. 2021: Towards Digitalized Manufacturing 4.0 - Virutal
Hyd: 22 Sep 202124 Sep 2021

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