However, even though data-drivenĪpproaches are showing merits and being widely applied in the manufacturing context, Which facilitate data acquisition and storage. Throughout this manufacturing process with the advancement of I4.0 technologies, In addition, steel-making consists ofĬomplex processes that involve physical, chemical, and mechanical elements,Įmphasising the necessity for data-driven approaches to handle high-dimensionalityįor a modern steel-making plant, various measurement devices are deployed As a consecutive and compact manufacturing process, process downtime isĪ major concern for steel-making companies since most of the operations should beĬonducted within a certain temperature range. This advantage is particularly desired for steel-making Manufacturing companies with a strategic advantage by reducing the number of Under thisĭata-rich environment, the ability to diagnose and predict production failures provides It is possible to collect heterogeneous manufacturing data across various facets forįault diagnosis by using the industrial internet of things (IIoT) techniques. Systems (CPPS), can make intelligent decisions. "manufacturing things", production systems, in the form of Cyber-Physical Production Through real-time communication and coordination between Technology that utilises embedded networked systems to achieve intelligent control.ĬPS enable full traceability of production processes as well as comprehensive dataĪssignments in real-time. Processes in the industry, which is enabled by cyber-physical systems (CPS) - a The concept of Industry 4.0 (I4.0) refers to the intelligent networking of machines and
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