MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641122419 A) filed by Jayaraju Gaddala on October 13, 2026, for Aiot-Based Edge Intelligence System Using Machine Learning For Early Fault Detection And Predictive Maintenance Of Electrical Equipment.
Inventors include Dr. Balapanur Mouli Chandra; Mr Varaprasad K S B; Mr. Dundi Jesraj Tataji; Devarala Siva Nagaraju; Dr. G. Venkata Suresh Babu; Mr. Suresh Mikkili; Dr D S Naga Malleswara Rao; Saripiralla Basamma; Chimakurthi Manasa; and Dr. G. Jaya Raju.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to an AIoT-based edge intelligence system that uses machine learning for early fault detection and predictive maintenance of electrical equipment. Sensors measure parameters such as vibration, temperature, current or voltage. An edge processing controller checks data quality, preprocesses the readings and extracts features, then applies a trained machine-learning model to identify an abnormal operating condition and generate a condition category or risk indicator. A local alert interface presents a warning. A communication module can send selected features and time-stamped event information to a remote monitoring dashboard, and local monitoring continues when remote connectivity is unavailable. The system supports condition monitoring and maintenance planning for motors, pumps, transformers, generators and other electrical equipment. Its outputs assist maintenance personnel and do not replace required electrical protection systems or qualified inspection.
Disclaimer: Curated by HT Syndication.
