Use of Edge Computing for Predictive Maintenance of Industrial Electric Motors
De Leon V.
Universidad Tecnológica de Bolívar
Metadata Show full item record
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.
The authors would like acknowledge the cooperation of all partners within the Centro de Excelencia y Apropiaci?n en Internet de las Cosas (CEA-IoT) project. The authors would also like to thank all the institutions that supported this work: the Colombian Ministry for the Information and Communications Technology (Ministerio de Tecnolog?as de la Informaci?n y las Comunicaciones-MinTIC ) and the Colombian Administrative Department of Science, Technology and Innovation (Departamento Administrativo de Ciencia, Tecnolog?a e Innovaci?n-Colcien-cias) through the Fondo Nacional de Financiamiento para la Ciencia, la Tecnolog?a y la Innovaci?n Francisco Jos? de Caldas (Project ID: FP44842-502-2015).
Compatible para recolección con: