Immersive Technology-Based Guidance Module for Induction Motor Diagnosing

Jose E. Naranjo, Gustavo Caiza, Veronica Gallo C, Santiago Alvarez T, Wilson O. Lopez, Marcelo V. Garcia

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

One of the main objectives of virtual reality (VR) is to simplify human resource interactions with equipment once a process is in operation, especially in the case of techniques that are related and whose devices communicate with each other. VR allows operators to become familiar with the production environment and the process in a tangible way during training, making them aware of the context where they will be working, both the physical space and the contingencies that may arise. This paper presents an immersive training module for detecting and correcting faults in induction motors. Two groups were considered for testing the effectiveness of the developed system: a control group and an experimental group. The tests showed that with this technology, the teaching-learning process time is optimized by more than 50%. In addition, with a p-value lower than the selected alpha level, it was confirmed that the use of VR, in this case, is more efficient than the use of conventional training methodologies. Finally, the usability of the proposal was evaluated, concluding that, although the system has several areas for improvement, it is beneficial for the industry.

Idioma originalInglés
Título de la publicación alojadaCSEI
Subtítulo de la publicación alojadaInternational Conference on Computer Science, Electronics and Industrial Engineering (CSEI) - Advances and Applications in Computer Science, Electronics and Industrial Engineering. Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2022
EditoresMarcelo V. Garcia, Carlos Gordón-Gallegos
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas478-493
Número de páginas16
ISBN (versión impresa)9783031305917
DOI
EstadoPublicada - 2023
EventoInternational Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022 - Ambato, Ecuador
Duración: 7 nov. 202211 nov. 2022

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen678 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022
País/TerritorioEcuador
CiudadAmbato
Período7/11/2211/11/22

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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