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Article

Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors

1
Department of Computer Engineering, Universidad de Burgos, Avda Cantabria s/n, 09006 Burgos, Spain
2
HSPdigital CA-Mecatronica, Engineering Faculty, Autonomous University of Queretaro San Juan del Rio 76800, Mexico
3
Instituto Tecnológico de la Energía, Universitat Politècnica de València, 46022 Valencia, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Dimitris Mourtzis
Appl. Sci. 2022, 12(1), 414; https://doi.org/10.3390/app12010414
Received: 2 November 2021 / Revised: 24 December 2021 / Accepted: 28 December 2021 / Published: 1 January 2022
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. View Full-Text
Keywords: virtual reality; induction motors; fault detection; FFT; eye tracking virtual reality; induction motors; fault detection; FFT; eye tracking
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MDPI and ACS Style

Checa, D.; Saucedo-Dorantes, J.J.; Osornio-Rios, R.A.; Antonino-Daviu, J.A.; Bustillo, A. Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors. Appl. Sci. 2022, 12, 414. https://doi.org/10.3390/app12010414

AMA Style

Checa D, Saucedo-Dorantes JJ, Osornio-Rios RA, Antonino-Daviu JA, Bustillo A. Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors. Applied Sciences. 2022; 12(1):414. https://doi.org/10.3390/app12010414

Chicago/Turabian Style

Checa, David, Juan J. Saucedo-Dorantes, Roque A. Osornio-Rios, José A. Antonino-Daviu, and Andrés Bustillo. 2022. "Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors" Applied Sciences 12, no. 1: 414. https://doi.org/10.3390/app12010414

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