[HTML][HTML] Converting semantic web services into formal planning domain descriptions to enable manufacturing process planning and scheduling in industry 4.0
To build intelligent manufacturing systems that react flexibly in case of failures or
unexpected circumstances, manufacturing capabilities of production systems must be …
unexpected circumstances, manufacturing capabilities of production systems must be …
EASY: energy-efficient analysis and control processes in the dynamic edge-cloud continuum for industrial manufacturing
According to the guiding principles of Industry 4.0, edge computing enables the data-
sovereign and near-real-time processing of data directly at the point of origin. Using these …
sovereign and near-real-time processing of data directly at the point of origin. Using these …
Identifying Missing Sensor Values in IoT Time Series Data: A Weight-Based Extension of Similarity Measures for Smart Manufacturing
Smart Manufacturing integrates methods of Artificial Intelligence and the Internet of Things
into processes to enhance efficiency and flexibility. However, analysis of time series sensor …
into processes to enhance efficiency and flexibility. However, analysis of time series sensor …
Improving complex adaptations in process-oriented case-based reasoning by applying rule-based adaptation
Adaptation is a complex and error-prone task in Case-Based Reasoning (CBR), including
the adaptation knowledge acquisition and modeling efforts required for performing …
the adaptation knowledge acquisition and modeling efforts required for performing …
[PDF][PDF] Towards Flexible Control of Production Processes: A Requirements Analysis for Adaptive Workflow Management and Evaluation of Suitable Process Modeling …
In the context of Industry 4.0, Artificial Intelligence (AI) methods are used to maximize the
efficiency and flexibility of production processes. The adaptive management of such …
efficiency and flexibility of production processes. The adaptive management of such …
[PDF][PDF] Exploring a Hybrid Case-Based Reasoning Approach for Time Series Adaptation in Predictive Maintenance
A Schultheis - 2024 - ceur-ws.org
Abstract Predictive Maintenance (PredM) is a vital concept within Industry 4.0, focusing on
proactive machine maintenance through analysis of sensor data to uphold quality standards …
proactive machine maintenance through analysis of sensor data to uphold quality standards …
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TS Data, A Weight-Based, A Schultheis… - … ICCBR 2024, Merida …, 2024 - books.google.com
Smart Manufacturing integrates methods of Artificial Intelligence and the Internet of Things
into processes to enhance efficiency and flexibility. However, analysis of time series sensor …
into processes to enhance efficiency and flexibility. However, analysis of time series sensor …