MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070679 A) filed by Muthayammal Engineering College Autonomous on June 06, 2026, for Artificial Intelligence Powered Industrial Iot System For Early Failure Forecasting And Operational Resilience.
Inventors include Dr. C. Selvi; Mr. S. Ananda Kumar; Mr. M. Ravindran; Mr. S. Gopal; S. Priyadharshini; Selva Bharathi. V; Sindhuja K. M; Sanjay S; Sudharsan Kumar G; Vignesh V; and Sankar S.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to an artificial intelligence powered industrial IoT system for early failure forecasting and operational resilience. The system comprises distributed sensing infrastructures, intelligent communication networks, edge computing modules, cloud intelligence platforms, artificial intelligence engines, predictive failure forecasting frameworks, operational resilience management systems, maintenance optimization modules, digital twin environments, and cybersecurity architectures. Operational information including vibration characteristics, thermal conditions, electrical parameters, pressure levels, acoustic signatures, environmental variables, and performance metrics is continuously analyzed using advanced artificial intelligence models to identify degradation patterns, forecast failures, estimate remaining useful life, evaluate resilience indicators, and generate maintenance recommendations. The system further supports digital twin simulation, autonomous optimization, resilience enhancement planning, predictive maintenance scheduling, and enterprise-wide operational intelligence. The invention improves equipment reliability, minimizes downtime, enhances operational continuity, reduces maintenance costs, strengthens resilience, and enables intelligent autonomous industrial management.
Disclaimer: Curated by HT Syndication.
