Rancang Bangun Sistem Deteksi Menggunakan Getaran, Suhu,Arus, dan RPM Motor listrik

Abstract

Operational reliability in the modern manufacturing sector is highly dependent on the performance of induction motors as the main drive [1]. This dependency poses a significant risk if maintenance is still reactive, as sudden failures can trigger significant financial losses. As a solution, the MachinaSense Predictive Engine Guardian system is designed using ESP32-based Internet of Things (IoT) technology to continuously monitor machine conditions [2]. This system integrates four critical sensor parameters to detect anomalies early. [3]. Meanwhile, the vibration sensor plays a role in detecting mechanical disturbances such as bearing wear through vibration frequency analysis [5]. To prevent insulation damage due to heat, a temperature sensor is used to monitor the condition of the stator [4], while the rotational speed is monitored through an RPM monitoring system to analyze the motor slip value according to the fundamental theory of electrical machines [6]. All sensor data is acquired using I2C and UART communication protocols and then sent to a cloud platform via a WiFi network [4]. This multi-sensor integration has been proven to be able to identify operational deviations before they exceed critical thresholds, thus providing a much more accurate diagnosis than single-sensor methods. The application of this technology not only minimizes downtime, but also becomes a concrete step in the transformation towards Industry 4.0 which prioritizes data-based predictive maintenance [7].