MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611107582 A) filed by Chitkara University on September 07, 2026, for An Ai-Assisted Engine Health Monitoring And Predictive Diagnostic System For E20 Fuel Engines, And A Method Therefor.
Inventors include Bhisham Sharma; and Tapas Sharma.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: An artificial-intelligence-assisted engine health monitoring and predictive diagnostic system is disclosed, comprising a sensor suite acquiring a plurality of engine operating parameters, a signal conditioning circuit and a data acquisition unit conditioning and digitising the acquired signal, an embedded processor extracting a normalised feature therefrom, an AI diagnostic engine including a machine learning module analysing the feature to perform pattern recognition, fault classification, remaining-useful-life estimation, anomaly detection, and health-score calculation, a decision support module generating a maintenance recommendation, an IoT communication module transmitting diagnostic data to a cloud server, and a user interface module presenting the diagnostic result upon a local display and a mobile/web application. The system employs a diagnostic threshold adapted to the combustion, wear, and emission characteristics of an E20 fuel, comprising approximately 20 percent ethanol and 80 percent gasoline, thereby providing a continuous, real-time, predictive maintenance capability, in place of a conventional, reactive engine diagnostic arrangement.
Disclaimer: Curated by HT Syndication.
