Aug 2026· INAJEEE Indonesian Journal of Electrical and Eletronics Engineering· 0 citations· 15 references
TL;DR
Haiwell Cloud SCADA-based monitoring system to analyze the behavior of induction motors in real-time voltage, current, speed, frequency, and temperature, and a tension control method using a magnetic powder brake to simulate changes in the load dynamically is offered.
Abstract
In the modern industrial sector, monitoring the condition of induction motors is the main key to maintaining efficiency and reliability. Internet of Things (IoT) technology in the monitoring system can be done in real-time, to provide convenience in monitoring induction performance. Haiwell Cloud SCADA-based monitoring system to analyze the behavior of induction motors in real-time voltage, current, speed, frequency, and temperature. This system integrates a tension control method using a magnetic powder brake to simulate changes in the load dynamically. The results show that at a low torque of 0 – 6 Nm, the induction motor operates stably at a speed close to synchronous with a low stator current. However, at torques above 8 Nm, there is a significant voltage drop, and the stator current increases four times compared to the nominal current, and there is a temperature increase of up to 35oC, which represents an increase in power losses. This research offers a combination of IoT-based monitoring and tension control methods. IoT-based monitoring systems help users easily monitor the performance of induction motors in real-time and anticipate potential problems before failures occur.
This research presents an internet of things (IoT-based) system for real-time monitoring and control of a three-phase induction motor that enables continuous monitoring, early fault detection, and predictive maintenance, thereby improving overall operational efficiency and reducing downtime.
Y. S. Pawar, Sandip Rahane, A. Thakare et al.· Bulletin of Electrical Engin...· 0 citations
Three-phase induction motors are widely utilized in industrial applications due to their high efficiency and reliability. This study aims to design and implement a real-time control and operational parameter monitoring system for a three-phase induction motor. The system integrates an Arduino Mega as the main data processor, a Variable Speed Drive (VSD) for speed control, and Solid State Relays (SSR) along with contactors as actuators. Monitoring of electrical and mechanical parameters is performed using ACS712 sensors (current), ZMPT101B sensors (voltage), and Hall Effect sensors (speed/RPM), with the results displayed on a LabVIEW interface. The system evaluation and validation method was carried out by comparing sensor readings against standard measuring instruments (digital multimeter and digital tachometer) across various operating frequency variations. The test results show that the system is capable of stable operation with an average sensor measurement error (mean error) of 0.35%. The novelty of this research lies in the integration of a responsive, cost-effective, multi-parameter control and monitoring platform equipped with automatic data logging within a single integrated HMI interface, which is ready to be applied for research as well as industrial automation laboratory practices.
Fahrul Marcello Rombon, Kevind Lefinro Rompas, N. Lombok et al.· Jambura Journal of Electrica...· 0 citations
Three-phase induction motors are extensively utilized in industrial and commercial applications due to their robustness, efficiency, and capability to handle high-power loads. However, these motors are vulnerable to damage from phase failure conditions, including single-phasing, voltage imbalance, and phase loss, which can lead to overheating, reduced efficiency, and permanent equipment failure. This paper presents the design and development of a low-cost, intelligent three-phase monitoring and protection system integrated with Internet of Things (IoT) communication for real-time fault notification. The proposed system employs an Arduino Uno microcontroller as the central processing unit, continuously monitoring the availability of R, Y, and B phases through voltage sensor modules. Upon detection of any phase failure, the system automatically disconnects relay-controlled loads to prevent single-phasing damage. Local status indication is provided through an I2C LCD display and audible buzzer alerts, while remote monitoring is achieved via an ESP32 DevKit module that transmits fault notifications to a Telegram application through Wi-Fi connectivity. The system architecture combines embedded control, automated protection, and wireless communication into a single scalable platform. Experimental validation demonstrates reliable phase detection, rapid relay response, and effective remote alerting, confirming the system's suitability for industrial automation, motor protection, and smart energy management applications.
J. Babu, More Divya, Varu Chirag et al.· International Journal for Sc...· 0 citations
Single-phase induction motors experience high inrush current during the starting process, which can degrade power quality and accelerate electrical component deterioration. This research aims to design and evaluate an Arduino Nano–based soft starter system for a single-phase induction motor to limit the starting current. The proposed method employs stepwise series resistance control using relay modules driven by the Arduino Nano, while electrical parameters including voltage, current, and power are monitored in real time using a PZEM-004T sensor. Experimental tests were conducted by comparing the motor starting current before and after the implementation of the soft starter under several operating conditions. The results demonstrate that the proposed system is able to reduce the starting current by 15%–20% compared to direct-on-line operation, with stable and consistent current reduction characteristics. The analysis indicates that the current limitation effectively reduces electrical stress on the motor without adversely affecting the acceleration process. It can be concluded that the developed soft starter system successfully meets the research objectives and is suitable as a simple and cost-effective solution for controlling the starting current of single-phase induction motors.
Silvi Nur Rakhman Nisa', Ibrohim Ibrohim, Tri Rijano et al.· Jurnal Tekno Insentif· 0 citations
This study investigates the energy efficiency of an electric motor–inverter system operating under variable load conditions. The aim of the research is to develop and evaluate an AI-based supervisory method for identifying inefficient operating modes and optimizing control parameters using real-time electrical and operational data. Unlike conventional motor-control studies, which mainly focus on torque ripple, flux regulation, or speed response, the proposed approach considers the motor, inverter, load, and control algorithm as a single energy-efficiency-oriented system. The input vector of the model includes voltage, current, inverter frequency, rotational speed, electromagnetic torque, temperature, load level, power factor, and total harmonic distortion. The output variables are system efficiency, total power loss, and the classification of the operating mode as either efficient or inefficient. The proposed method was evaluated under 24 steady-state operating modes formed by four load levels and six inverter frequency values. Under the most inefficient tested operating condition, the overall system efficiency increased from 78.3% to 90.2% after AI-based optimization, while energy consumption decreased from 118 kWh to 88 kWh. In addition, the power factor improved from 0.76 to 0.94, total harmonic distortion decreased from 15% to 5%, and inverter switching losses decreased from 8% to 3%. The results confirm that the proposed method can identify inefficient operating states and support the selection of energy-efficient control parameters. The main limitation of the study is that the validation was performed using one motor - inverter configuration and mainly under steady-state conditions. Therefore, future research should include transient load changes, different motor power ratings, and embedded real-time implementation.
A. Abdykadyrov, A. Kuttybayeva, Kyrmyzy Taissariyeva et al.· Archives of Electrical Engin...· 0 citations
The three-phase electrical power distribution system is the main system widely used in industrial installations, including the Waste Water Treatment Plant (WWTP) at Rasuna Epicentrum, South Jakarta. The voltage stability of each phase significantly affects the performance of induction motors and control systems. This research aims to design and develop a three-phase voltage monitoring prototype system based on the ESP32 microcontroller using the PZEM-004T sensor to detect voltage and current in each phase. The measurement results are displayed on a 2004 Blue Backlight LCD, accompanied by visual and audio indicators in the form of LEDs and a buzzer. In addition, the system is equipped with an automatic notification feature via Telegram Bot, which provides real-time alerts when abnormalities such as overvoltage, undervoltage, voltage unbalance, or phase loss occur. The research method consists of several stages, including literature study, hardware and software design, system assembly, on-site testing at the WWTP, and data analysis. The test results show that the system can measure voltage on each phase with an average error of ±1.8% compared to standard measuring instruments. The system successfully sends Telegram notifications within an average delay of 2.3 seconds after detecting anomalies. Based on the experimental results, the developed system is proven to be accurate, responsive, and efficient for real-time three-phase voltage monitoring. Therefore, this prototype can serve as an alternative IoT-based electrical monitoring system applicable to support operational and maintenance activities in industrial systems such as WWTP.
Arief Budi Mustofa· International Journal of Hea...· 0 citations
