Procedia CIRP · 2019 · 19 citations · 25 references
EngineeringIndustrial EngineeringManufacturing EngineeringAutomationManufacturing SystemsProcess ControlFactory AutomationIndustrial AutomationIndustrial Communication NetworksIndustrial Cyber-physical SystemsIndustrial InstrumentationManufacturing AutomationAdvanced Manufacturing TechnologiesCyber-physical Production SystemsData Link CommunicationIndustrial Automation SystemsIndustrial Control SystemsIndustrial Data ManagementIntelligent Manufacturing SystemsReal-time Industrial Communication
In machine tools, Industry 4.0 functions can increase availability through predictive maintenance, while other functions improve productivity and workpiece quality through process supervision and optimisation. Many of these functions rely on data communication between systems from different suppliers. Requirements regarding latency and computing vary widely depending on the application. Based on an analysis of these requirements, a smart controller for the implementation of Industry 4.0 is designed, using a hypervisor to allow for the integration of soft real-time and best-effort applications.
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Deep learning and its applications to machine health monitoring
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Cyber-physical systems in manufacturing
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Engineering, Manufacturing Engineering, Systems Engineering +12
Advanced monitoring of machining operations
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