MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202441104706 A) filed by Sri Krishna College Of Engineering And Technology on December 30, 2024, for Intelligent Fault Diagnosis For Industrial Automation: Predictive Maintenance Application.
Inventors include Dr. M. Lydia; Dr. T. A. Selvan; Dr. D. Pritima; Dr. G. Veerappan; Dr. M. Bhuvaneswari; Dr. S. Dinesh; Mrs. S. Nithyapriya; Mr. S. Panneerselvam; Mr. T. Vignesh; and Dr. R. Gopinathan.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses an Intelligent Fault Diagnosis System for Industrial Automation, which is a comprehensive solution to monitor, predict, and diagnose faults in machinery such as robotic arms, conveyors, and CNC machines. This system integrates IoT- enabled sensors, edge computing, and advanced AI/ML algorithms to provide real-time fault detection and predictive maintenance insights. By continuously collecting and analyzing operational data such as vibration, temperature, torque, and acoustic signals, the system identifies anomalies, predicts remaining useful life (RUL) of components, and provides actionable insights to operators. The solution is designed to reduce downtime, optimize maintenance schedules, and improve the overall reliability and efficiency of industrial operations. A user-friendly interface offers real-time machine health visualization, fault alerts, and recommended actions. The system's modular and scalable architecture allows it to be deployed across a wide range of industrial environments, making it a versatile and cost-effective tool for modern manufacturing.
Disclaimer: Curated by HT Syndication.
