MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049542 A) filed by CHVN Raja; Ms. Jallepalli Sowmya; Mr. Gare Hemanth; Ms. Seela Santhi; Mr. Aleti Bhaskaraca Rao; Mr. Karri Dhinesh; Dr. Vantaku Murali; and Anil Neerukonda Institute Of Technology & Sciencess, Visakhapatnam, Andhra Pradesh, on April 18, for 'health monitoring of induction motor.'
Inventor(s) include Ms. Jallepalli Sowmya; Mr. Gare Hemanth; Ms. Seela Santhi; Mr. Aleti Bhaskaraca Rao; Mr. Karri Dhinesh; and Dr. Vantaku Murali.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This project provides a solution for IoT-based motor health monitoring and protecting systems for ensuring reliable motor operation in industrial, agricultural and domestic use. Sensors are used to monitor major parameters that affect the motors' operation including motor temperature, supply voltage, load current drawn, power consumption, and vibration on bearings. A microcontroller (with Wi-Fi capabilities ESP32) processes the real-time data collected by the sensors and rights it against the safe limits established for each parameter. A 16 x 2 LCD displays the values for local viewing and the collected data will also be sent to the Blynk platform to allow users access to the metrics from a mobile or web interface. Users will be able to view live values, charts, and alerts from any geographical location using their mobile device or computer. If any parameter collected exceeds the established safe limit, the system will automatically disconnect the motor through a relay or contactor, preventing damage to the motor and providing the user with greater safety. The motor health monitoring and protection system is cost-effective, scalable, and easy to use, and it provides users with early identification of faults, opportunities to reduce costs associated with downtime and maintenance, and opportunities to extend the life of their motors through predictive maintenance."
Disclaimer: Curated by HT Syndication.
