Evaluation Of Effectiveness And Acceptability Of Automated Testing System For Industrial Proximity Sensors: Technology Adoption
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Abstract
This study examined the effectiveness and acceptability of an automated testing system specifically designed for industrial proximity sensors, focusing on accurately identifying PNP and NPN types. The system was developed to improve safety and efficiency in industrial automation by providing quick, user-friendly identification of sensor types, essential for correct load connection arrangements in automation systems. By applying a test voltage and monitoring current flow, the system identified PNP sensors, which allow current to flow from the positive supply to the load, and NPN sensors, which direct current from the load to the negative supply. The study evaluated the system's performance, serviceability, and aesthetics using the Technology Acceptance Model (TAM), which included perceived usefulness, ease of use, and actual usage. Rated highly effective and acceptable by mechatronics enthusiasts and instructors, with an effectiveness mean of 4.91 and acceptability mean of 4.86, the system demonstrated reliability in maintenance and as a valuable educational tool in automation.