Fault Detection System in Electrical Motors Using IoT |
Author(s): |
| Omkar Sonawane , Zeal college of engineering research ; Dr. Mahadev Unde, Zeal college of engineering research ; Vaibhav londhe , Zeal college of engineering research ; Ketki Chavan, Zeal college of engineering research ; Shweta Patil, Zeal college of engineering research |
Keywords: |
| Blynk IOT, Machine Learning, Fault Detection, Sensor |
Abstract |
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The integration of Internet of Things (IoT) technology in fault detection systems for electrical motors has gained significant attention due to its potential to improve reliability, reduce downtime, and enhance maintenance practices. This paper provides a comprehensive review of fault detection systems in electrical motors using IoT. Furthermore, the paper discusses the future scope of IoT-based fault detection systems, including advancements in sensor technology, integration with cloud computing and artificial intelligence, and the development of standardized protocols for data communication and analysis.[1] These developments are expected to further enhance the performance and reliability of fault detection systems in electrical motors. In conclusion, the adoption of IoT technology in fault detection systems for electrical motors represents a promising approach to improving the reliability and efficiency of industrial processes. Continued research and development in this area are essential to harness the full potential of IoT for fault detection and maintenance in electrical systems. [2] |
Other Details |
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Paper ID: IJSRDV12I30057 Published in: Volume : 12, Issue : 3 Publication Date: 01/06/2024 Page(s): 60-63 |
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