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Workshop on Engineering Applications

WEA 2019: Applied Computer Sciences in Engineering pp 523–533Cite as

Use of Edge Computing for Predictive Maintenance of Industrial Electric Motors

Part of the Communications in Computer and Information Science book series (CCIS,volume 1052)

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.

Keywords

  • Edge Computing
  • Industrial Internet of Things
  • Predictive maintenance

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  • DOI: 10.1007/978-3-030-31019-6_44
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Acknowledgments

The authors would like acknowledge the cooperation of all partners within the Centro de Excelencia y Apropiación 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 Tecnologías de la Información y las Comunicaciones - MinTIC) and the Colombian Administrative Department of Science, Technology and Innovation (Departamento Administrativo de Ciencia, Tecnología e Innovación - Colciencias) through the Fondo Nacional de Financiamiento para la Ciencia, la Tecnología y la Innovación Francisco José de Caldas (Project ID: FP44842-502-2015).

Author information

Authors and Affiliations

  1. Universidad Tecnologica de Bolivar, Cartagena de Indias, Colombia

    Victor De Leon, Yira Alcazar & Jose Luis Villa

Authors
  1. Victor De Leon
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  2. Yira Alcazar
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  3. Jose Luis Villa
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Corresponding author

Correspondence to Jose Luis Villa .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  2. Universidad Antonio Nariño, Bogotá, Colombia

    Mario Duarte-González

  3. Universidad Antonio Nariño, Bogotá, Colombia

    Sebastián Jaramillo-Isaza

  4. Universidad del Rosario, Bogotá, Colombia

    Alvaro David Orjuela-Cañon

  5. Corporación Unificada Nacional CUN, Bogotá, Colombia

    Yesid Díaz-Gutierrez

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De Leon, V., Alcazar, Y., Villa, J.L. (2019). Use of Edge Computing for Predictive Maintenance of Industrial Electric Motors. In: Figueroa-García, J., Duarte-González, M., Jaramillo-Isaza, S., Orjuela-Cañon, A., Díaz-Gutierrez, Y. (eds) Applied Computer Sciences in Engineering. WEA 2019. Communications in Computer and Information Science, vol 1052. Springer, Cham. https://doi.org/10.1007/978-3-030-31019-6_44

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  • DOI: https://doi.org/10.1007/978-3-030-31019-6_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31018-9

  • Online ISBN: 978-3-030-31019-6

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