MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202611026862 A) filed by Mr. Santosh Kumar Swarnkar; Mr. Surisetti Narsingarao; Mr. Chava Vijaya Kumar; Dr. Jami Venkata Suman; Mr. Dwijen Kirtania; Mr. Amit Kumar Singh; Dr. Anandharajan Venugopal; Mr. John Valder; Dr. G. Merlin Sheeba; and Ms. K. Raja Saranya on March 07, 2026, for Neural Network-Based Predictive Maintenance System For Iot-Enabled Devices.
Inventors include Mr. Santosh Kumar Swarnkar; Mr. Surisetti Narsingarao; Mr. Chava Vijaya Kumar; Dr. Jami Venkata Suman; Mr. Dwijen Kirtania; Mr. Amit Kumar Singh; Dr. Anandharajan Venugopal; Mr. John Valder; Dr. G. Merlin Sheeba; and Ms. K. Raja Saranya.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The invention discloses a neural network-based predictive maintenance system for IoT-enabled devices designed to intelligently monitor equipment operational health and predict potential failures in advance. The system integrates real-time sensor data acquisition, preprocessing mechanisms, and deep learning-based predictive analytics to evaluate machine degradation patterns. The proposed framework utilizes multilayer neural network models trained on historical and streaming operational datasets to estimate failure risk probabilities. The system generates automated maintenance alerts when predicted risk levels exceed predefined safety thresholds, thereby enabling proactive maintenance scheduling, reducing unexpected downtime, and improving overall industrial operational efficiency. Accompanied Drawing [FIGS. 1-2]
Disclaimer: Curated by HT Syndication.
