MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123889 A) filed by Dr. K Sreenivasa Reddy; Dr. V. Sowmyasree; G. Shasikala; Amit Hemkant Karwande; Mr. Nimmala Mahesh; Mr. Swaroop Mallick; Dr. P. Upendra Kumar; Dr. M. C. Rao; and Koppuravuari Gurnadha Gupta on October 15, 2026, for Predictive Maintenance System For Industrial Electric Motors Using Transfer Learning And Edge Artificial Intelligence.
Inventors include Dr. K Sreenivasa Reddy; Dr. V. Sowmyasree; G. Shasikala; Amit Hemkant Karwande; Mr. Nimmala Mahesh; Mr. Swaroop Mallick; Dr. P. Upendra Kumar; Dr. M. C. Rao; and Koppuravuari Gurnadha Gupta.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to a predictive maintenance framework for industrial electric motors used in India. The framework acquires motor operating signals, preprocesses the signals at an edge device, adapts a pretrained model using transfer learning and executes local artificial-intelligence inference to identify abnormal conditions. The framework may classify faults, determine a motor health indicator, estimate remaining useful life and generate maintenance alerts or recommendations based on fault severity, confidence and plant-defined rules. Local processing enables monitoring and alert generation with reduced dependence on continuous cloud connectivity. The framework supports adaptation to different motor types and operating conditions and can record inspection outcomes for model evaluation and controlled updating. The invention is intended to improve condition awareness, support maintenance planning and reduce avoidable downtime in diverse industrial environments. Accompanied Drawing [FIGS. 1-2].
Disclaimer: Curated by HT Syndication.
