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This is a Quantitative Study study.

October 23, 2025Open Access

Control and Measurement of Electrical Parameters of Electric Motors Using IOT And SCADA

Key Points

The system effectively monitors electrical parameters to prevent potential faults in electric motors with IoT technology.
Key performance relies on the decision tree algorithm, assessing different algorithms during training to ensure accuracy.
The setup incorporates various sensors to collect important data from electric motors for real-time analysis.
Findings may highlight the system’s effectiveness in safeguarding electrical equipment from damage due to exceeding thresholds.

Abstract

Abstract -The primary objective of the proposed system is to protect electrical equipment from potential faults. The system incorporates several sensors strategically placed on the equipment. These sensors collect data, which is then transmitted to a cloud platform via the Node MCU ESP8266. Simultaneously, the data is displayed on an LCD screen. The collected data is divided into training and testing datasets. A machine learning model is trained using various algorithms, and the most accurate one is selected based on its performance. In this case, the decision tree algorithm is used. The real-time data is processed and analyzed, and if the current or vibration values exceed the recorded thresholds, the relay is triggered to prevent damage to the equipment Key Words: IOT, SCADA, ESP8266, LCD, Machine Learning algorithms

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