2026-06-01T15:46:14Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/73352023-03-21T09:05:07Zcom_10259_4219com_10259_5086com_10259_2604col_10259_4220
Checa Cruz, David
812
500
0000-0001-6623-3614
Saucedo Dorantes, Juan José
c72d1ba9-11ec-45c6-be9b-ce38206fb2c1
600
Osornio-Ríos, Roque Alfredo
8c5cdd81-755e-4869-bb5f-97099b3b0ab4
600
Antonio-Daviu, José Alfonso
289e0b3b-da53-44d8-b7a6-21006cf698a3
600
Bustillo Iglesias, Andrés
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600
0000-0003-2855-7532
2023-01-26T11:18:49Z
2023-01-26T11:18:49Z
2022-01
http://hdl.handle.net/10259/7335
10.3390/app12010414
2076-3417
The incorporation of new technologies as training methods, such as virtual reality (VR),
facilitates instruction when compared to traditional approaches, which have shown strong limitations
in their ability to engage young students who have grown up in the smartphone culture of continuous entertainment. Moreover, not all educational centers or organizations are able to incorporate
specialized labs or equipment for training and instruction. Using VR applications, it is possible
to reproduce training programs with a high rate of similarity to real programs, filling the gap in
traditional training. In addition, it reduces unnecessary investment and prevents economic losses,
avoiding unnecessary damage to laboratory equipment. The contribution of this work focuses on the
development of a VR-based teaching and training application for the condition-based maintenance of
induction motors. The novelty of this research relies mainly on the use of natural interactions with
the VR environment and the design’s optimization of the VR application in terms of the proposed
teaching topics. The application is comprised of two training modules. The first module is focused
on the main components of induction motors, the assembly of workbenches and familiarization with
induction motor components. The second module employs motor current signature analysis (MCSA)
to detect induction motor failures, such as broken rotor bars, misalignments, unbalances, and gradual
wear on gear case teeth. Finally, the usability of this VR tool has been validated with both graduate
and undergraduate students, assuring the suitability of this tool for: (1) learning basic knowledge
and (2) training in practical skills related to the condition-based maintenance of induction motors.
This research has been partially supported by Banco Santander under the scholarship program Santander Iberoamérica Research 2019/20. This investigation was partially supported by the ACIS project (Reference Number INVESTUN/21/BU/0002) of the Consejeria de Empleo of the Junta de Castilla y León (Spain).
application/pdf
eng
MDPI
Applied sciences. 2022, V. 12, n. 1, 414
https://doi.org/10.3390/app12010414
info:eu-repo/grantAgreement/Junta de Castilla y León//INVESTUN%2F21%2FBU%2F0002//Simulador inteligente en Realidad Virtual Inmersiva Colaborativa para la prevención de riesgos laborales por aplastamiento en industrias del metal o plástico/
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Virtual reality
Induction motors
Fault detection
FFT
Eye tracking
Informática
Computer science
Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Applied Sciences
12
1
THUMBNAIL
Checa-as_2022.pdf.jpg
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ORIGINAL
Checa-as_2022.pdf
Checa-as_2022.pdf
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https://riubu.ubu.es/bitstream/10259/7335/1/Checa-as_2022.pdf
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10259/7335
oai:riubu.ubu.es:10259/7335
2023-03-21 10:05:07.258
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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