The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Mar. 24, 2026
Filed:
Sep. 21, 2022
Tata Consultancy Services Limited, Mumbai, IN;
Yagnik Pravinchandra Kalariya, Pune, IN;
Abhijeet Gorey, Kolkata, IN;
Amit Gangadhar Salvi, Pune, IN;
Subhadeep Basu, Kolkata, IN;
Supriya Gain, Kolkata, IN;
Tapas Chakravarty, Kolkata, IN;
Chirabrata Bhaumik, Kolkata, IN;
Arpan Pal, Kolkata, IN;
Sooriyan Senguttuvan, Pune, IN;
Arijit Sinharay, Kolkata, IN;
Tata Consultancy Services Limited, Mumbai, IN;
Abstract
This disclosure generally relates to the field of structural health monitoring, and, more particularly, to a method and system for evaluating residual life of components made of composite materials. Existing methods require performing computational methods such as Finite Element Analysis (FEA) on the results of Non-Destructive Testing (NDT) every time a component is inspected. This makes the process expensive and time-consuming. Thus, embodiments of present disclosure provide a method wherein NDT is performed using different sensing methods such as ultrasound, ultrasound pulse echo, thermography to determine type of defect, location of defect and depth of defect in a test component which are then fed into a pre-trained machine learning model to predict residual life of the component. Testing time is greatly reduced since the pre-trained machine learning model is trained offline using results of the computational methods.