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Embedded fog computing for high-frequency MTConnect data analytics
Many modern machine tools are equipped with MTConnect implementations to manage data produced during machining. However, manufacturers still need access to data that may not be provided by the machines in the MTConnect format. The recent trend towards Internet of Things (IoT) and fog computing has p...
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Published in: | Manufacturing letters 2018-01, Vol.15, p.135-138 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Many modern machine tools are equipped with MTConnect implementations to manage data produced during machining. However, manufacturers still need access to data that may not be provided by the machines in the MTConnect format. The recent trend towards Internet of Things (IoT) and fog computing has paved the way for manufacturers to deploy low-cost, MTConnect-compatible embedded data acquisition and analysis devices at the shop floor level. This paper describes the development and validation of a fog compute node based on an embedded Linux computer that is capable of high-speed realtime sampling and analysis of spindle vibration from an accelerometer. |
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ISSN: | 2213-8463 2213-8463 |
DOI: | 10.1016/j.mfglet.2017.11.002 |