MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641112101 A) filed by Venkata Naga Kishore Thota; Dr. Binda Mridula Balakrishnan; Dr. J Vimala Devi; Vipul Prabhakar Rathod; Dr Mubarak Ali M; Dr. A. Antony George Fernando; B. Shruthi; T. Karthika; and Dr. L. Javid Ali on September 18, 2026, for Digital Twin-Based Predictive Maintenance System For Industrial Equipment.
Inventors include Venkata Naga Kishore Thota; Dr. Binda Mridula Balakrishnan; Dr. J Vimala Devi; Vipul Prabhakar Rathod; Dr Mubarak Ali M; Dr. A. Antony George Fernando; B. Shruthi; T. Karthika; and Dr. L. Javid Ali.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention relates to the development of a method where the operational efficiency and the minimization of unexpected downtime are essential issues facing the manufacturing industry in the age of Industry 4.0. Conventional maintenance techniques have shown inefficiency that causes unnecessary disruptions in the process and may lead to unwanted preventive measures. An innovative Digital Twin-Based Predictive Maintenance System is developed that is aimed at improving the management of industrial machines in the course of their life cycles. Through the synchronization of the machines' physical and digital copies, the system employs state-of-the-art machine learning models for analyzing sensor information and predicting the future breakdowns with high precision. The findings show that the suggested solution contributes to the improvement in the accuracy of diagnosis and increases the longevity of assets. FIG.1
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