MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051670 A) filed by Dr. Needhu Varghese; Jovial Joyson; Saniya Soby; Henry Bastian V; Sania Maria Johnson; and Chrysler K M, Irinjalakuda, Kerala, on April 23, for 'context-aware digital triplet system for electrical motors under variable load.'

Inventor(s) include Dr. Needhu Varghese; Saniya Soby; Henry Bastian V; Sania Maria Johnson; and Chrysler K M.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "The context-aware digital triplet system represents a highly advanced, predictive, and bidirectional innovation in the realm of industrial monitoring and control. By extending the traditional digital twin framework to include a third, intelligent "Triplet" layer, the system operates autonomously to evaluate real-time physical data against ideal mathematical simulations. Integrated machine learning algorithms ensure precise disambiguation between normal mechanical load variations and genuine electrical or mechanical faults, reducing false-positive alarms. This innovative approach not only prevents catastrophic equipment failure but also dynamically optimizes motor performance based on customizable business objectives (e.g., extending lifespan versus maximizing output). This project outlines the design and implementation of a digital triplet for a motor operating under dynamic load conditions, aiming to combine physics-based simulation with advanced artificial intelligence. The system incorporates edge computing to harness real-time sensor data, promoting computationally efficient and resilient operation. The intelligent gatekeeping mechanism ensures continuous safety by blocking hazardous human commands before they reach the physical asset. This digital triplet system serves as a highly practical application of Industry 5.0 principles, bringing human-centric, explainable AI into everyday industrial and electrical engineering scenarios."

Disclaimer: Curated by HT Syndication.