Use of Edge Computing for Predictive Maintenance of Industrial Electric Motors
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Date
2019
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Springer
Abstract
Industrial Internet of Things has become a reality in many kind of industries. In this paper, We explore the case of high quantity of raw data generated by a machine. In the aforementioned case is not viable store and process the data in a traditional Internet of Things architecture. For this case, We use an architecture based on edge computing and Industrial Internet of Things concepts and apply them to a case of machine monitoring for predictive maintenance. The proof of concept shows the potential benefits in real industrial applications. © 2019, Springer Nature Switzerland AG.
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Citation
Communications in Computer and Information Science; Vol. 1052, pp. 523-533