MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541124572 A) filed by Mr. N. Srinivas; Dr. S. Ravivarman; Dr. N. Karuppiah; Dr. T. Anuradha Devi; Mr. B. Rajagopal Reddy; and Dr. Patil Mounica, Hyderabad, Telangana, on Dec. 9, 2025, for 'systems and methods for adaptive machine-learning-based monitoring and fault detection in photovoltaic power arrays.'
Inventor(s) include Mr. N. Srinivas; Dr. S. Ravivarman; Dr. N. Karuppiah; Dr. T. Anuradha Devi; Mr. B. Rajagopal Reddy; and Dr. Patil Mounica.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "A system (100) comprising a data acquisition module (102), a sensor network (104), a machine-learning processing unit (106), a communication interface (108), a storage unit (110), an anomaly-detection engine (112), an adaptive model-updating unit (114), a control-signal generator (116), and a user-interface dashboard (118). The data acquisition module (102) receives real-time sensor data, the machine-learning processing unit (106) analyzes the data for faults, and the anomaly-detection engine (112) determines anomaly types while the adaptive model-updating unit (114) updates the models based on new conditions. The control-signal generator (116) issues corrective actions, and the dashboard (118) displays system-health analytics. The invention enhances early detection accuracy, reduces false alarms, and improves overall photovoltaic-array performance and reliability."
Disclaimer: Curated by HT Syndication.
