MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641081176 A) filed by Ramachandra College Of Engineering on July 01, 2026, for Predictive Maintenance System Using Machine Learning.
Inventors include K Rajendra; M Rama Krishna; Dr P Sudhakar; and Dr. G Chamundeswari.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: A predictive maintenance system uses machine learning to monitor equipment health and prevent failures Sensors collect-real-time -data on-parameters such-as vibration, temperature, pressure, and operational metrics. The data is analyzed using machine learning algorithms to detect anomalies and predict potential faults. Early warning alerts notify operators of maintenance requirements before breakdowns occur. Historical and real-time data improve the accuracy of predictive models over time. Integration with industrial loT platforms enables centralized monitoring and control of multiple machines. Visualization dashboards provide actionable insights on equipment performance and maintenance schedules. Automated reporting simplifies documentation and compliance with safety standards. Predictive analytics optimize maintenance intervals, reduce downtime, and minimize operational costs. Fault severity assessment prioritizes critical interventions. The system supports scalability across manufacturing plants, facilities, or distributed equipment networks. Energy consumption and resource utilization are optimized through proactive maintenance. Alerts and notifications can be sent via mobile or web applications for remote monitoring. Privacy and security measures protect sensitive operational data.
Disclaimer: Curated by HT Syndication.
