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.
