2014
DOI: 10.1016/j.protcy.2014.09.088
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Simulation based Process Monitoring for Single Item Production without Machine External Sensors

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Cited by 12 publications
(5 citation statements)
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“…Finally, during machine tool usage period, process will be under control by the monitoring of the most important variables and the possibility to include simplified versions of the Digital Twin of the machine tool to perform model-based control actions [3]. According to machine tool health management, both local and fleet-level tasks will be implemented.…”
Section: Real Machine Tool Life-cyclementioning
confidence: 99%
See 1 more Smart Citation
“…Finally, during machine tool usage period, process will be under control by the monitoring of the most important variables and the possibility to include simplified versions of the Digital Twin of the machine tool to perform model-based control actions [3]. According to machine tool health management, both local and fleet-level tasks will be implemented.…”
Section: Real Machine Tool Life-cyclementioning
confidence: 99%
“…The proposed monitoring hardware is the best environment to do this integration. For example, the integration of process models with real monitored data could be used for process monitoring [3], replacing the learning stage when it is not feasible, for example, in aerospace applications where batches are normally small.…”
Section: Local Monitoring and Control Systemmentioning
confidence: 99%
“…The novel aspect is the use of OK-process data of one or more source machines to calculate statistical monitoring limits for the target machine, that are suited for online monitoring. As research exists on process segmentation [11][12][13] and process force reconstruction [3,14], the focus is subsequently on the transfer of knowledge between machines.…”
Section: Introductionmentioning
confidence: 99%
“…Another key principle of Industry 4.0 is to increase the knowledge of the process obtained through monitoring (Lee et al 2015). This knowledge can be applied, for example, for process control (Denkena et al 2014) and maintenance actions optimization (Alzaga et al 2014). The combination of models and process monitoring will be useful not only in the development and design stages, but mainly during the production stage in order to check that production is running smoothly, detect wear and tear without needing to halt production or predict component failure and other disruptions.…”
Section: Introductionmentioning
confidence: 99%