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.
|Nifer y tudalennau||6|
|Dyddiad ar-lein cynnar||31 Gorff 2021|
|Dynodwyr Gwrthrych Digidol (DOIs)|
|Statws||Cyhoeddwyd - 26 Tach 2021|
|Digwyddiad||54th CIRP Conference on Manufacturing Systems. 2021: Towards Digitalized Manufacturing 4.0 - Virutal|
Hyd: 22 Sep 2021 → 24 Sep 2021