Health Monitoring System for Transformer by using Internet of Things (IoT)
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Transformer is an important device in electrical field that used to transfer electricity from one circuit to another with changing the voltage level. The transformer will be having a problem such as increasing in temperature and make a lot of noise. Typical transformer measurement system will take time for testing and less accurate. The aim of this project is to design the IoT system for monitoring and evaluate the performance of the transformer current, sound and temperature. The monitoring system using three types of sensors to sense the current, sound and temperature. ESP32 is being used to keep and process the data before sending to the Blynk application to show the value by using internet. Two different conditions are being tested to the transformer which are transformer without load and with load. Ammeter and ACS712 current sensor are used to get the current value. Besides, for temperature value used two equipment which are using thermometer and MLX90614 temperature sensor. The transformer sound obtained from the sound sensor. The data will be display in Blynk application. The result obtained show the health monitoring system for transformer by using Internet of Things is acceptable because has low error and save time to measure the parameters.
 Jaiswal, G. C., Ballal, M. S., Tutakne, D. R., & Vishnu, P, “Intelligent condition monitoring system for distibution transformer and health status diagnosis”, International Conference on Power, Instrumentation, Control and Computing (PICC), pp. 1-6, IEEE, 2018.
 Hayati, M. A. E. A. E., & Babiker, S. F, “Design and implementation of low-cost SMS based monitoring system of distribution transformers”, Conference of Basic Sciences and Engineering Studies (SGCAC), pp. 152-157, IEEE, 2016.
 Pawar, R. R., & Deosarkar, S. B, “Health condition monitoring system for distribution transformer using Internet of Things (IoT)”, International Conference on Computing Methodologies and Communication (ICCMC), pp. 117-122, IEEE, 2017.
 Zhang, C., He, Y., Du, B., Yuan, L., Li, B., & Jiang, S, “Transformer fault diagnosis method using IoT based monitoring system and ensemble machine learning”, Future Generation Computer Systems, 108, 533-545, 2020.
 Zanzad, P. R. T., Umare, N., & Patle, P. G, “ZIGBEE Wireless Transformer Monitoring, Protection and Control System”, International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization), 4(2), 2395-4396, 2016.
 Navamanikumar, P. G., Agnesha, S., Gowsalya, P., Indhu, K., & Sivasakthi, N, “ IOT Based Real Time Transformer Health Monitoring System and Phase Preventor”, International Journal of Emerging Technologies in Engineering Research (IJETER), 6(4), 119-124, 2018.
 Acakpovi, A., Odazie, C., Majeed, I. B., Eduful, G., & Asabere, N. Y, “Transformer Wireless Monitoring System Using Arduino/XBEE”, American Journal of Electrical Power and Energy Systems, 8(1), 1-10, 2019.
 Ery, S., Linna, O. S., Fitri, W., & Feranita, “IoT Applications in Fermented Tempe Production. International Journal of Electrical”, Energy and Power System Engineering (IJEEPSE), 5(1), 1-5, 2022.
 Eko, P., Trisianto, N., Ani, S. S., & Delta, M, “PLTD Engine Tank Oil Volume Monitoring System using HC-SR04 Ultrasonic Sensor Based on Internet of Things (IoT)”, International Journal of Electrical, Energy and Power System Engineering (IJEEPSE), 4(1), 134-138, 2021.
 Srivastava, D., & Tripathi, M. M, “Transformer Health Monitoring System Using Internet of Things”, 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), pp. 903-908, IEEE, 2018.
 Dhanraj, J. A., Krishnamurthy, B., Ramanathan, K. C., Saravanan, A. K., & Raman, J. K. G, “Design on IoT Based Real Time Transformer Performance Monitoring System for Enhancing the Safety Measures”, In IOP Conference Series: Materials Science and Engineering, Vol. 988, No. 1, p. 012076, IOP Publishing, 2020.
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