SOA based smartphone system for the fault detection in rotating machines

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The information technologies are used as tools for predictive maintenance. They allow to anticipate any severe damage on industrial machines. This paper proposes a system for fault detection in rotating machines through the acquisition and processing of acoustic signals under the framework of service oriented architecture (SOA). The system takes advantage of resources such as mobile devices for the acquisition of acoustic signals, a computer server for data storage and processing, and web services as a service orchestrator between the mobile device and the processing stage. After the system implementation its functionality is evaluated in the fault detection of gearboxes, resulting in a high detection rate.

Original languageEnglish
Title of host publication2020 IEEE ANDESCON, ANDESCON 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193656
DOIs
StatePublished - 13 Oct 2020
Event2020 IEEE ANDESCON, ANDESCON 2020 - Quito, Ecuador
Duration: 13 Oct 202016 Oct 2020

Publication series

Name2020 IEEE ANDESCON, ANDESCON 2020

Conference

Conference2020 IEEE ANDESCON, ANDESCON 2020
Country/TerritoryEcuador
CityQuito
Period13/10/2016/10/20

Bibliographical note

Funding Information:
Authors would like to thank the support provided by Universidad Politécnica Salesiana through the research group GIDTEC.

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Information Technologies
  • Mobile Applications
  • Predictive Maintenance
  • SOA
  • Web Services

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