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

Abstract

[EN] The incorporation of new technologies as training methods, such as Virtual Reality (VR), facilitates the instruction task when compared to traditional approaches, which are showing strong limitations to engage young students, grown up in 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 the real ones, filling the gap with 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 condition-based maintenance of induction motors. The novelty of this research relies mainly in 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 comprises two training modules: the first one 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 condition-based maintenance of induction motors.