DOI of the published article https://doi.org/10.12928/biste.v7i1.12262
Overload Monitoring and Warning System for 3-Phase Electric Motor Based on IoT
Sistem Pemantauan dan Peringatan Beban Berlebih Motor Listrik 3- Fase Berbasis IoT
DOI:
https://doi.org/10.21070/ups.7205Keywords:
System monitoring, Three-phase electric motor, Overload, Telegram, Internet of Things (IoT), PZEM-004T, ESP8266, Motor protection, Remote monitoring, Energy efficiency.Abstract
This research develops and tests a Telegram-based overload monitoring and warning system for three-phase motors, using the PZEM-004T sensor and ESP8266 microcontroller. The system measures current, voltage and power in real-time and sends automatic notifications via Telegram when an overload occurs with a current limit of 20A. In addition, the system can cut off electricity to prevent further damage. Given the risk of overloads that can cause industrial losses, the results show the system's effectiveness in recording data and detecting overload conditions, although there are power measurement discrepancies that require further calibration. Research recommendations include improving measurement accuracy, standardizing procedures, and integrating with industry standards. Additional testing with different load variations is also recommended to ensure system performance in various scenarios.
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References
S. Sharma, M. V Aware, and A. Bhowate, “Integrated Battery Charger for EV by Using Three-Phase Induction Motor Stator Windings as Filter,” IEEE Trans. Transp. Electrif., vol. 6, no. 1, pp. 83–94, 2020, doi: 10.1109/TTE.2020.2972765.
I. Sulistiyowati, J. Jamaaluddin, I. Anshory, Y. W. Pratama, and S. Romadhoni, “Optimal Power Distribution Strategy for Intermittent Solar-Powered Hybrid Energy Storage Systems,” Acad. Open, vol. 8, no. 1, pp. 1–15, 2023, doi: 10.21070/acopen.8.2023.7283.
A. Masoom, J. Gholinezhad, T. Ould-Bachir, and J. Mahseredjian, “Electromagnetic Transient Modeling of Power Electronics in Modelica, Accuracy and Performance Assessment,” Lect. Notes Electr. Eng., vol. 993 LNEE, no. September, pp. 275–288, 2023, doi: 10.1007/978-3-031-24837-5_21.
H. Ali, Y. Jie, and L. Weiqiang, “Research on rotor fault diagnosis technology of three-phase asynchronous motor based on NA-MEMD mutual information and SVM,” Meas. Control (United Kingdom), 2024, doi: 10.1177/00202940241236649.
A. Sivakumar, M. Thiyagarajan, and K. Kanagarathinam, “Mitigation of supply current harmonics in fuzzy-logic based 3-phase induction motor,” Int. J. Power Electron. Drive Syst., vol. 14, no. 1, pp. 266–274, 2023, doi: 10.11591/ijpeds.v14.i1.pp266-274.
X. He, “Hybrid ADRC and PI Controller Design for Three-Phase Inverter with Nonlinear Loads,” IEEE Access, vol. 12, no. September, pp. 1–1, 2024, doi: 10.1109/access.2024.3456110.
Z. Wu, Y. Hu, J. X. Wen, F. Zhou, and X. Ye, “A Review for Solar Panel Fire Accident Prevention in Large-Scale PV Applications,” IEEE Access, vol. 8, pp. 132466–132480, 2020, doi: 10.1109/ACCESS.2020.3010212.
V. Madonna, P. Giangrande, L. Lusuardi, A. Cavallini, C. Gerada, and M. Galea, “Thermal Overload and Insulation Aging of Short Duty Cycle, Aerospace Motors,” IEEE Trans. Ind. Electron., vol. 67, no. 4, pp. 2618–2629, 2020, doi: 10.1109/TIE.2019.2914630.
L. Xiao, L. Zhang, F. Gao, and J. Qian, “Robust fault-tolerant synergetic control for dual three-phase PMSM drives considering speed sensor fault,” IEEE Access, vol. 8, pp. 78912–78922, 2020, doi: 10.1109/ACCESS.2020.2989821.
A. Isakov, A. Rakhmatov, and B. Tukhtamishev, “Parameter Reliability Assessment of Electric Motors,” Medicon Agric. Environ. Sci., vol. 6, no. 4, pp. 3–8, 2024, doi: 10.55162/mcaes.06.168.
E. G. Abid, E. S. A. Shaikh, E. M. Fawad Shaikh, E. S. H. Rajput, E. U. Abdul Majeed, and E. A. M. Shaikh, “IOT based Smart Industrial panel for controlling Three-phase Induction motor,” 2020 3rd Int. Conf. Comput. Math. Eng. Technol. Idea to Innov. Build. Knowl. Econ. iCoMET 2020, no. May, 2020, doi: 10.1109/iCoMET48670.2020.9073809.
R. Khan et al., “Energy Sustainability–Survey on Technology and Control of Microgrid, Smart Grid and Virtual Power Plant,” IEEE Access, vol. 9, pp. 104663–104694, 2021, doi: 10.1109/ACCESS.2021.3099941.
S. Rubino, I. R. Bojoi, F. Mandrile, and E. Armando, “Modular Stator Flux and Torque Control of Multi-Three-Phase Induction Motor Drives,” IEEE Trans. Ind. Appl., vol. 56, no. 6, pp. 6507–6525, 2020, doi: 10.1109/TIA.2020.3022338.
K. B. Tawfiq et al., “A Comprehensive Study of Thermal and Performance Characteristics in Revamped Multiphase Synchronous Reluctance Machines,” IEEE Trans. Transp. Electrif., vol. PP, p. 1, 2024, doi: 10.1109/TTE.2024.3468373.
T. Nurwati, B. Ardiansyah, M. Dhofir, R. N. Hasanah, W. M. H. Mehanny, and M. Markovic, “Simulation of Thermal Distribution on a Ferrofluid Bimetallic Overload Relay,” in 2020 FORTEI-International Conference on Electrical Engineering (FORTEI-ICEE), 2020, pp. 91–95. doi: 10.1109/FORTEI-ICEE50915.2020.9249862.
R. Santhosh, Sailakshmi, V. S. M, S. Yadav, M. N., and P. S., “No-Load and Over Load Protection for Single Phase Induction Motors,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021, pp. 462–466. doi: 10.1109/ICOSEC51865.2021.9591938.
L. B. -, P. P. -, and D. S. -, “Temperature Fluctuations in Power conductors: Analysis and Overcurrent Relay Adaptation Strategies for Mitigation,” Int. J. Multidiscip. Res., vol. 6, no. 3, 2024, doi: 10.36948/ijfmr.2024.v06i03.19641.
M. Aparna, R. R. Errabelly, and R. Thota, “STUDY THE PERFORMANCE OF POWER SYSTEM PROTECTION USING WIDE AREA,” vol. 6, no. 3, pp. 18–29, 2021.
M. S. Moiz et al., “Health Monitoring of Three-Phase Induction Motor Using Current and Vibration Signature Analysis,” 2019 Int. Conf. Robot. Autom. Ind. ICRAI 2019, no. November 2023, 2019, doi: 10.1109/ICRAI47710.2019.8967356.
T. A. Khan, F. A. Shaikh, S. Khan, and M. F. Siddiqui, “Real-Time Wireless Monitoring for Three Phase Motors in Industry: A Cost-Effective Solution using IoT,” 2019 IEEE 6th Int. Conf. Smart Instrumentation, Meas. Appl. ICSIMA 2019, no. May 2020, pp. 1–5, 2019, doi: 10.1109/ICSIMA47653.2019.9057343.
W. Villegas-Ch, J. Garcia-Ortiz, and S. Sanchez-Viteri, “Toward Intelligent Monitoring in IoT: AI Applications for Real-Time Analysis and Prediction,” IEEE Access, vol. 12, no. March, pp. 40368–40386, 2024, doi: 10.1109/ACCESS.2024.3376707.
A. Dawood, B. M. Hasaneen, and A. M. Abdel-Aziz, “Design of an efficient neural network model for detection and classification of phase loss faults for three-phase induction motor,” Neural Comput. Appl., vol. 36, no. 11, pp. 5827–5845, 2024, doi: 10.1007/s00521-023-09387-y.
Z. Liang, D. Liang, P. Kou, and S. Jia, “Postfault Control and Harmonic Current Suppression for a Symmetrical Dual Three-Phase SPMSM Drive under Single-Phase Open-Circuit Fault,” IEEE Access, vol. 8, pp. 67674–67686, 2020, doi: 10.1109/ACCESS.2020.2986790.
J. H. Im, J. K. Kang, Y. K. Lee, and J. Hur, “Shaft Voltage Elimination Method to Reduce Bearing Faults in Dual Three-Phase Motor,” IEEE Access, vol. 10, no. July, pp. 81042–81053, 2022, doi: 10.1109/ACCESS.2022.3195041.
G. Marques and R. Pitarma, “A Real-Time Noise Monitoring System Based on Internet of Things for Enhanced Acoustic Comfort and Occupational Health,” IEEE Access, vol. 8, pp. 139741–139755, 2020, doi: 10.1109/ACCESS.2020.3012919.
J. Zhao et al., “Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation,” IEEE Trans. Power Syst., vol. 36, no. 3, pp. 2462–2472, 2021, doi: 10.1109/TPWRS.2020.3028047.
M. Q. Tran, M. Elsisi, K. Mahmoud, M. K. Liu, M. Lehtonen, and M. M. F. Darwish, “Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment,” IEEE Access, vol. 9, pp. 115429–115441, 2021, doi: 10.1109/ACCESS.2021.3105297.
A. A. K. Majhi and S. Mohanty, “A Comprehensive Review on Internet of Things Applications in Power Systems,” IEEE Internet Things J., vol. 11, no. 21, pp. 34896–34923, 2024, doi: 10.1109/JIOT.2024.3447241.
W. Lang, Y. Hu, C. Gong, X. Zhang, H. Xu, and J. Deng, “Artificial Intelligence-Based Technique for Fault Detection and Diagnosis of EV Motors: A Review,” IEEE Trans. Transp. Electrif., vol. 8, no. 1, pp. 384–406, 2022, doi: 10.1109/TTE.2021.3110318.
A. Dawood, M. A. Ismeil, H. S. Hussein, B. M. Hasaneen, and A. M. Abdel-Aziz, “An Efficient Protection Scheme Against Single-Phasing Fault for Three-Phase Induction Motor,” IEEE Access, vol. 12, no. January, pp. 6298–6317, 2024, doi: 10.1109/ACCESS.2024.3351106.
M. Yousuf, T. Alsuwian, A. A. Amin, S. Fareed, and M. Hamza, “IoT-based health monitoring and fault detection of industrial AC induction motor for efficient predictive maintenance,” Meas. Control (United Kingdom), vol. 57, no. 8, pp. 1146–1160, 2024, doi: 10.1177/00202940241231473.
Q. Yu, Z. Jiang, Y. Liu, G. Long, M. Guo, and D. Yang, “Research of Early Warning of Failure with Load Tendency Based on Non-intrusive Load Monitoring in Microgrid,” in 2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE), 2020, pp. 232–236. doi: 10.1109/ICCSSE50399.2020.9171952.
L. Zhu, S. Xue, Z. Chen, B. Bai, Y. Mei, and L. Chen, “Research on Overload Early Warning System for Railcars,” J. Phys. Conf. Ser., vol. 2755, no. 1, 2024, doi: 10.1088/1742-6596/2755/1/012034.
R. Raman and U. K. Mookherjee, “Smart Condition Monitoring of Industrial Motors with SVM Algorithm and IoT Connectivity,” in 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2023, pp. 1094–1098. doi: 10.1109/UPCON59197.2023.10434409.
G. Nagasubramanian, R. K. Sakthivel, R. Patan, M. Sankayya, M. Daneshmand, and A. H. Gandomi, “Ensemble Classification and IoT-Based Pattern Recognition for Crop Disease Monitoring System,” IEEE Internet Things J., vol. 8, no. 16, pp. 12847–12854, 2021, doi: 10.1109/JIOT.2021.3072908.
A. Wisaksono and M. N. Novian, “Earthquake monitoring system based on Wemos D1 Mini with notification via WhatsApp,” IOP Conf. Ser. Earth Environ. Sci., vol. 1104, no. 1, 2022, doi: 10.1088/1755-1315/1104/1/012029.
S. D. Ayuni, S. Syahrorini, and J. Jamaaluddin, “Lapindo Embankment Security Monitoring System Based on IoT,” Elinvo (Electronics, Informatics, Vocat. Educ., vol. 6, no. 1, pp. 40–48, 2021, doi: 10.21831/elinvo.v6i1.40429.
M. F. Elmorshedy, W. Xu, F. F. M. El-Sousy, M. R. Islam, and A. A. Ahmed, “Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art,” IEEE Access, vol. 9, pp. 58170–58191, 2021, doi: 10.1109/ACCESS.2021.3073020.
D. F. Valencia, R. Tarvirdilu-Asl, C. Garcia, J. Rodriguez, and A. Emadi, “A Review of Predictive Control Techniques for Switched Reluctance Machine Drives. Part II: Torque Control, Assessment and Challenges,” IEEE Trans. Energy Convers., vol. 36, no. 2, pp. 1323–1335, 2021, doi: 10.1109/TEC.2020.3047981.
D. Kumar, A. Basit, A. Saleem, and E. G. Abbas, “PLC based monitoring protection of 3-phase induction motors against various abnormal conditions,” 2019 2nd Int. Conf. Comput. Math. Eng. Technol. iCoMET 2019, no. January 2019, pp. 1–6, 2019, doi: 10.1109/ICOMET.2019.8673497.
P. D. K. Bhingare, D. Bhoyar, S. Ninawe, and K. Kathane, “Review on 3 Phase Induction Motor Monitoring and Protection System,” vol. 15, no. 01, pp. 159–164, 2024.
A. Ayub Khan, A. A. Laghari, Z. A. Shaikh, Z. Dacko-Pikiewicz, and S. Kot, “Internet of Things (IoT) Security With Blockchain Technology: A State-of-the-Art Review,” IEEE Access, vol. 10, no. November, pp. 122679–122695, 2022, doi: 10.1109/ACCESS.2022.3223370.
B. Dewantara, I. Sulistiyowati, and J. Jamaaluddin, “Automatic Fish Feeder and Telegram Based Aquarium Water Level Monitoring,” Bul. Ilm. Sarj. Tek. Elektro, vol. 5, no. 1, pp. 98–107, 2023, doi: 10.12928/biste.v5i1.7575.
K. Laadjal, H. R. P. Antunes, M. Sahraoui, F. Bento, and A. J. M. Cardoso, “Online Diagnosis and Discrimination of Stator Faults in Six-Phase Induction Motors Based on Voltage Symmetrical Components,” IEEE Trans. Transp. Electrif., vol. 9, no. 2, pp. 3115–3126, 2023, doi: 10.1109/TTE.2022.3219722.
M. S. Diab, X. Yuan, and S. Member, “IEEE POWER ELECTRONICS LETTERS A Quasi - Three - Level PWM Scheme to Combat Motor Overvoltage in SiC - Based Single - Phase Drives,” 2020.
M. H. Nguyen, S. Kwak, and S. Choi, “Model Predictive Based Direct Power Control Method Using Switching State Preference for Independent Phase Loss Decrease of Three-Phase Pulsewidth Modulation (PWM) Rectifiers,” IEEE Access, vol. 12, no. January, pp. 5864–5881, 2024, doi: 10.1109/ACCESS.2024.3350191.
M. A. Al-Garadi, A. Mohamed, A. K. Al-Ali, X. Du, I. Ali, and M. Guizani, “A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security,” IEEE Commun. Surv. Tutorials, vol. 22, no. 3, pp. 1646–1685, 2020, doi: 10.1109/COMST.2020.2988293.
Z. Lv, Y. Han, A. K. Singh, G. Manogaran, and H. Lv, “Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence,” IEEE Trans. Ind. Informatics, vol. 17, no. 2, pp. 1496–1504, 2021, doi: 10.1109/TII.2020.2994747.
E. Muschter et al., “Perceptual Quality Assessment of Compressed Vibrotactile Signals Through Comparative Judgment,” IEEE Trans. Haptics, vol. 14, no. 2, pp. 291–296, 2021, doi: 10.1109/TOH.2021.3077191.
B. Nizomutdinov, A. Chugunov, and G. Khudiakov, “Development of a Methodology for Assessing the Quality and Communication Capabilities of Government Telegram Bots,” in 2024 Communication Strategies in Digital Society Seminar (ComSDS), 2024, pp. 96–100. doi: 10.1109/ComSDS61892.2024.10502066.
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