Volume : 12, Issue : 4, APR 2026
SMART MONITORING AND CONTROLLING OF SINGLE PHASE INDUCTION MOTOR BY USING IOT
J. SHIVA*, B. SAI KUMAR, P. HARISH KUMAR, K. SANJAY, A. JITENDRA
Abstract
This paper presents an Internet of Things (IoT)-based smart monitoring and control system for single-phase induction motors aimed at enhancing operational reliability, safety, and efficiency in industrial environments. The system continuously monitors critical parameters such as voltage, current, temperature, and vibration using embedded sensors interfaced with an Arduino microcontroller. Real-time data acquisition is processed locally and transmitted to a cloud platform via an ESP8266 Wi-Fi module, enabling remote monitoring and data logging. A rule-based threshold mechanism is employed for fault detection, identifying abnormal conditions such as overheating, overcurrent, and excessive vibration. Upon detection, protective actions including alert generation and automatic speed control through relay-based interfacing with a Variable Frequency Drive (VFD) are executed. The proposed system reduces downtime, enables predictive maintenance, and improves energy efficiency, offering a cost-effective and scalable solution for smart industrial automation.
Keywords
IOT, INDUCTION MOTOR MONITORING, ARDUINO, ESP8266, PREDICTIVE MAINTENANCE, SMART CONTROL, VFD, INDUSTRIAL AUTOMATION.
Article : Download PDF
Cite This Article
IESRJ
International Educational Scientific Research Journal
E-ISSN: 2455-295X
International Indexed Journal | Multi-Disciplinary Refereed Research Journal
ISSN: 2455-295X
Peer-Reviewed Journal - Equivalent to UGC Approved Journal
Peer-Reviewed Journal
Article No : 8
Number of Downloads : 38
References
1. Kumar, A., Singh, B., and Verma, P., “IoT-Based Smart Monitoring System for Industrial Applications,” IEEE Access, vol. 8, pp. 181–190, 2020.
2. Singh, B., and Panigrahi, B. K., “Condition Monitoring of Induction Motors Using Sensor-Based Techniques,” IEEE Transactions on Industry Applications, vol. 55, no. 3, pp. 2401–2410, 2019.
3. Rajput, R., Sharma, S., and Gupta, M., “Wireless Sensor-Based Industrial Monitoring and Control System,” Measurement, vol. 147, pp. 106–114, 2019.
4. Han, D. M., and Lim, J. H., “Design and Implementation of Smart Home Energy Management Systems Using IoT,” IEEE Transactions on Consumer Electronics, vol. 56, no. 3, pp. 1403–1410, 2010.
5. Banzi, M., Getting Started with Arduino, 2nd ed., O’Reilly Media, 2011.
6. Xia, F., Yang, L. T., Wang, L., and Vinel, A., “Internet of Things: A Survey,” IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015.
7. Zhang, G. P., Wang, H., and Liu, Y., “Fault Detection and Diagnosis of Electrical Machines Using Sensor Data,” IEEE Transactions on Industrial Electronics, vol. 65, no. 3, pp. 2451–2460, 2018.
8. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., and Ayyash, M., “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015.
9. Lee, K., and Lee, M., “Smart Industrial Monitoring Systems Using IoT Technologies,” Journal of Industrial Information Integration, vol. 15, pp. 100–108, 2019.
10. Lee, J., Bagheri, B., and Kao, H. A., “A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems,” Manufacturing Letters, vol. 3, pp. 18–23, 2015.
