MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122649 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy Engineering College For Women; Malla Reddy College Of Engineering And Technology; Malla Reddy Vishwavidyapeeth; Malla Reddy University; and Dr. C. Silpa, Medchal-Malkajgiri, Telangana, on Dec. 5, 2025, for 'intelligent fault-localization circuit for autonomous power recovery.'

Inventor(s) include Dr. C. Silpa; Ms. Tr. Bhuvaneswari; Dr. Chittibabu; Dr. Isukapatla Anusha; Dr. G. Latha; Dr. Gaddam Chandra Mohan; Dr. Sangam Sri Lakshmi; and Navya Raparthi.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "The current invention reveals a smart fault-localization circuit, which aims at detecting, isolating, and healing electrical faults in the pathways of power distribution without the outside oversight. Traditional fault-handling systems utilize slow electromechanical-protected breakers, manual diagnostics, and traditional fault-handling mechanisms that are mostly based on a single type of protective relays to detect the location and intensity of faults. These systems tend to fail to distinguish between temporary disturbances, localized overloads and permanent failure leading to prolonged recovery times and the unjustified disconnection of healthy parts of the network. The invention is a solution to these shortcomings since it combines a neural-adaptive diagnostic core with a reconfigurable switching architecture that can autonomously analyse real-time electrical behaviour to identify the precise location of fault and a set of specific power-recovery actions. The invention entails the multi-layer sensing framework that is installed between distributed nodes in a microgrid segment or feeder. These are sensors that constantly check on voltages collapse indicators, asymmetry of current, harmonic distortion, arc-fault trace and thermal variation. The measurements obtained are sent to an intelligent interpretation engine that analyses the fault propagation and defines whether the disturbance is upstream, downstream or node-localized. This constant attention to the health of the network helps the circuit to avoid unnecessary system-wide downturns, as well as selective isolating the faulty sections. The suggested mechanism has been identified to be especially useful in very branched networks, grids utilizing renewable sources, and autonomous power platforms where complexity of faults grows with distributed sources. The central element of the invention is an autonomous recovery controller that puts together diagnostic outputs and coordinates an organized isolation-and-restoration sequence. Once a fault has been narrowly localized, the controller activates reconfigurable switches and solid-state modules of an interruption to disconnect the affected segment only, as power is also routed by other pathways. The controller then checks the healing condition of the isolated part and re-energizes it when there is stability parameter attaining safe levels. This self correcting feature goes a long way to minimize downtime, increase network resilience and brings about constant power supply even in hard fault conditions."

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