MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611053505 A) filed by GLA University, Mathura, Uttar Pradesh, on April 27, for 'ai-enhanced predictive circuit breaker.'
Inventor(s) include Kanchan Yadav.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-enhanced predictive circuit breaker system (1) for intelligent fault detection, prevention, and load management in electrical networks. The system comprises high-precision sensors (2,3,4) configured to continuously monitor electrical parameters including voltage, current, temperature, and a processing unit (5) integrated with machine learning algorithms for real-time data analysis. The collected data is pre-processed and analysed to identify abnormal patterns indicative of potential faults such as overloads, short circuits, arc faults, insulation degradation, voltage imbalance, and harmonic distortion. Based on predictive analysis, the system (1) dynamically adjusts tripping thresholds to optimize protection while minimizing unnecessary interruptions. Upon detection of a critical condition, the system automatically disconnects the electrical circuit to prevent damage and hazards. The system (1) further includes an IoT-enabled communication module (6) for transmitting real-time alerts, diagnostics, and operational data to a cloud-based monitoring platform (8), enabling remote supervision and control. Additionally, the invention incorporates a self-learning mechanism that continuously improves fault prediction accuracy using historical and real-time data."
Disclaimer: Curated by HT Syndication.
