MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123216 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 6, 2025, for 'machine learning-based predictive maintenance system for automobiles.'
Inventor(s) include Dr. Ramesh C; Mr. Harsh Sumit Arya; Mr. Shivank Mukesh Srivastava; and Mr. Atharva Sharma.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a predictive maintenance system for automobiles including sensors configured to monitor vehicle operational parameters, computing devices configured to receive sensor data, machine learning components configured to analyze sensor data using trained algorithms to identify patterns indicative of impending component failures, output components configured to generate failure predictions, and user interface components configured to present predictions to users. The sensors include Internet of Things sensors monitoring engine temperature, oil pressure, battery voltage, brake wear, and transmission performance. An edge computing device receives sensor data and performs real-time preprocessing including filtering, noise reduction, and feature extraction. The machine learning components include Random Forest classifiers, Long Short-Term Memory networks, and Support Vector Machines. The system incorporates explainable artificial intelligence components providing interpretable explanations for failure predictions using feature importance analysis."
Disclaimer: Curated by HT Syndication.
