Design of innovative laboratory sessions for electric motors predictive maintenance teaching

Jose Antonino-Daviu, Larisa Dunai, Vicente Climente-Alarcon

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

5 Citations (Scopus)

Abstract

Predictive maintenance of electric motors is a hot topic nowadays. Due to the extensive participation of these machines in industry, there is an increasing demand of graduate engineering students with skills in this area. In spite of this fact, in many Universities, engineering programs did not include specific courses in this specific area. In recent years, there has been a certain increase in the offer of courses devoted to electric motors condition monitoring. Due to the constant research dynamism of this area, these courses should be prepared to incorporate the latest technological advances in order to instruct the students on the use of the most recent technologies. This paper presents several laboratory sessions that have been built in the context of a course dealing with the maintenance of electric motors. The sessions are designed to facilitate the student participation, promoting the collaborative work and facilitating the use of information and communication technologies (ICTs). At the same time, they are conceived to instruct the students with the most recent techniques for electric motors condition monitoring.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
Pages3965-3970
Number of pages6
Volume2017-January
ISBN (Electronic)9781538611272
DOIs
Publication statusPublished - 15 Dec 2017
MoE publication typeA4 Conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society - Beijing, China
Duration: 29 Oct 20171 Nov 2017
Conference number: 43
http://iecon2017.csp.escience.cn/

Publication series

NameProceedings of the Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
ISSN (Print)1553-572X

Conference

ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON
Country/TerritoryChina
CityBeijing
Period29/10/201701/11/2017
Internet address

Keywords

  • collaborative work
  • education
  • induction motors
  • laboratory sessions
  • predictive maintenance

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