MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641113321 A) filed by Dr. P. Bhanu; Dr. R. Madhana; and S. A. Engineering College on September 22, 2026, for Wireless Power Transfer For Electric Vehicles.
Inventors include Dr. P. Bhanu; and Dr. R. Madhana.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: ABSTRACT The present invention relates to a Smart Predictive Maintenance System for Industrial Electrical Panels using Artificial Intelligence (Al) and Industrial Internet of Things (MT), particularly for continuous monitoring, fault detection, and failure prediction of industrial electrical panels used in manufacturing and process industries. Conventional maintenance practices rely mainly on periodic inspection, manual monitoring, or corrective maintenance after fault occurrence, which may result in unexpected shutdowns, increased maintenance costs, production losses, and safety hazards. To overcome these limitations, the proposed invention integrates smart sensors, a Data Acquisition Unit/Edge Controller, an IIoT Gateway/Communication Module, edge data processing, and AI-based predictive analytics into a unified predictive maintenance framework. The system continuously acquires electrical and physical parameters such as voltage, current, temperature, power, vibration, and frequency from the electrical panel, processes the data through the Edge Controller, and transmits it through the IIoT Gateway for real-time monitoring and intelligent analysis. The Al and machine learning algorithms analyze real-time and historical data to establish normal operating behavior and identify abnormal variations, degradation patterns, and deviations from expected conditions. Based on the analysis, the system detects potential faults and predicts the likelihood of equipment failure before actual fault occurrence, enabling timely maintenance intervention. The system generates warning and maintenance alerts through an IoTenabled monitoring interface, allowing operators and maintenance personnel to remotely monitor the health status of the electrical panel. By transforming conventional reactive and scheduled maintenance into an intelligent condition-based predictive maintenance approach, the proposed invention reduces unplanned downtime and maintenance expenditure, improves equipment availability and reliability, enhances electrical safety, extends component life, and improves the overall productivity of industrial electrical systems. Signature
Disclaimer: Curated by HT Syndication.
