MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641084353 A) filed by Dr. M. Chitra; and S. Namagiri on July 09, 2026, for An Ai-Driven Industrial Fault Detection And Predictive Maintenance System.
Inventors include Dr. M. Chitra; and S. Namagiri.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: An Al-driven industrial fault detection and predictive maintenance system is designed to enhance reliability and operational efficiency in industrial environments. The system continuously monitors machinery and equipment using integrated sensors that capture parameters such as vibration, temperature, pressure, and electrical signals. Artificial intelligence models analyse real-time and historical data to detect abnormal patterns and early indicators of equipment degradation. Predictive algorithms estimate the remaining useful life of critical components. Automated alerts notify maintenance teams before failures occur. Adaptive learning mechanisms refine fault detection accuracy over time. The system reduces unplanned downtime and maintenance costs. Edge and cloud processing capabilities enable scalable deployment across industrial facilities. Data visualization tools provide clear insights into equipment health and operational status. Intelligent diagnostics support root-cause analysis of faults. Secure data handling ensures system integrity and operational safety. The architecture supports integration with existing industrial control and monitoring platforms. Energy-efficient processing enables continuous monitoring in resource-constrained environments. The system improves asset utilization and maintenance planning. This invention provides a robust and intelligent solution for predictive industrial maintenance.operat
Disclaimer: Curated by HT Syndication.
