MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641009381 A) filed by Muthayammal Engineering College, Namakkal, Tamil Nadu, on Jan. 29, for 'a system for creating a high-fidelity digital twin of an industrial asset for predictive maintenance.'
Inventor(s) include Dr. G. Kavitha; R. Divyapraba; Lathika K; Lokesh J; and Mukilan R.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The invention introduces an industrial predictive maintenance system and process that also suggests the use of a high-fidelity digital twin. It operates on the principle of multi-physics simulation and physics-informed machine learning, making measurements of sensor data of a real physical industrial asset in real-time and comparing them with a virtual model. This will allow one to visualize internal mechanical stresses and thermal distributions which are not measurably available with sensors. This will allow the system to anticipate component failure and Remaining Useful Life (RUL) of the asset since this will provide the ability of the system to emulate future operating conditions with a high degree of accuracy. This pre-emptive solution minimises the unplanned downtime and optimised on the quantity of spares that are handled in the manufacturing and energy industry."
Disclaimer: Curated by HT Syndication.
