MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611025768 A) filed by Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, on March 5, for 'method and system, for ai-assisted detection and fracture analysis of aircraft composite structures.'
Inventor(s) include Rahul Kumar.
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 present invention relates to an AI-assisted, sensor-integrated system and method for detecting non-visible internal damage and automatically classifying failure modes in aircraft composite structures. The system comprises a plurality of structural sensors integrated within or coupled to composite components for acquiring real-time structural response data, including strain, acoustic emission, vibration, and impact signatures. A processing unit pre-processes the acquired data and extracts fracture-relevant features, which are analyzed using a trained artificial intelligence or machine-learning model to identify composite-specific failure modes such as delamination, matrix cracking, fiber fracture, adhesive debonding, and fastener-related damage. The system further assigns damage severity levels and generates failure-mode-specific alerts and fracture analysis reports for maintenance, safety, or investigation purposes."
Disclaimer: Curated by HT Syndication.
