MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017671 A) filed by Ramachandra College Of Engineering, Eluru, Andhra Pradesh, on Feb. 17, for 'digital twin-enabled predictive maintenance for high-speed rotating machinery.'
Inventor(s) include M Radha Krishna; Dr. M L Sswarajyalakshmi; and Dr Subramanya Sarma S.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "This invention presents an innovative digital twin framework tailored for predictive maintenance in high-speed rotating machinery, addressing the unique challenges of extreme operational speeds where vibrations, thermal stresses, and wear accelerate failures. Named TwinRot, the system combines physics-based simulations with advanced machine learning to create a real-time virtual replica that monitors, diagnoses faults, and predicts remaining useful life (RUL) with high precision. Key features include adaptive model updating via Bayesian inference, multimodal sensor fusion for vibration and temperature data, and reinforcement learning for optimized maintenance scheduling. Through hardware-in-the-loop testing on prototypes like gas turbines and compressors, TwinRot demonstrates up to 85% reduction in unplanned downtime and 40% extension in machinery lifespan. Comprehensive evaluations highlight its superiority over traditional methods in handling variable speeds and loads, offering scalable solutions for industrial reliability."
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