# Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors
## 6 Discussion  
Before the widespread use of the application, its usability must be validated. Module A validation was carried out with 18 bachelor's degree students studying mechanical manufacturing. This test had two objectives. Firstly, as a stress test of the virtual reality headset, this test aimed to check its performance, data acquisition and how it adapts to different environments; secondly, as a mSUPPethod, this test aimed to detect errors in the different levels and the possible need for refinement of the mechanics (grab, attach, interaction with UI, etc.). One of the minor problems detected was that the user position was reset to where the previous level had ended when passing from one level to another, which caused a mismatch with respect to the initial calibration. This mismatch could mean that two trainees would collide. To solve this problem, the initial calibration was forced at the start of each level. Regarding the training objectives of this module, the teachers highlighted the importance of applications that facilitate a basic understanding of the operating condition of induction motors. They also remarked on the possibilities of training with a wide variety of different elements without having to make a large investment in the facility. They also highlighted the importance of virtual reality as a more immersive medium where students will better understand spatial concepts and increase their motivation. However, the logistics of getting all the students into the application can be challenging due to the difficulty of having many HMDs in a classroom. On the other hand, this same application, in its flat-screen version, although less immersive, was considered usable for any of these courses and might also provide extra motivation to the students. Thus, understanding the basis of the operational condition of an induction motor is an essential aspect of the training program, as is the effective detection of fault occurrence in induction motors. Condition monitoring approaches are important to detect unexpected faults that may compromise the efficiency of industrial processes and cause inevitable and excessive energy consumption. The occurrence of faults in induction motors can be effectively detected with MCSA. The practical implementation of MCSA may represent a complicated task and is very critical when trying to train new maintenance technicians. Therefore, having data from real experimental test benches and virtual reality tools is a solution for training. In the second module, MCSA is used to detect induction motor failures such as broken rotor bars, misalignments, unbalances, and gradual wear on gearing teeth. Figure 14: Detailed image of gradual wear on gear teeth simulated with (**A**): 0% wear condition, (**B**): 50% wear condition. A validation was performed with 16 students from the master's degree program in multimedia development to evaluate the accessibility and the efficiency of the VR application (Supplementary Materials). This validation is the first step in the final validation of the VR application, while a second step requires the validation of the learning outcomes. This second step is traditionally [1] the subject of later research, due to its complexity, and it is not included in this research due to length limitations. Besides, as this VR educational experience approach concerns learning by doing in relation to a real industrial task, its objectives are reached once the student has spent time enjoying solving design problems in an autonomous way, because demotivation and monotony play a major role in poor learning performance among students. The students were asked about the potential of the VR application as a training tool and the modifications needed to improve it. The design of the survey was adapted from a questionnaire to measure the user experience in immersive virtual environments [45].