MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641083224 A) filed by Dr. G. Venkatesan; and Dr Gopirajan Pv on July 07, 2026, for Ai-Driven Predictive Maintenance System For Industrial Iot Networks.
Inventors include Dr. G. Venkatesan; and Dr Gopirajan Pv.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses an Al-driven predictive maintenance system designed for industrial loT network environments. By continuously collecting and analyzing multi-parameter sensor data from industrial equipment, the system employs an ensemble of machine learning models—including LSTM networks. Random Forest, and Gradient Boosting classifiers—to accurately predict equipment failures before they occur. A multi-stage data preprocessing pipeline ensures signal quality, while an adaptive alert management module generates prioritized maintenance recommendations integrated with enterprise resource planning systems. A continuous learning feedback loop retrains predictive models based on real-world maintenance outcomes, ensuring long-term accuracy and adaptability. The system supports standard IloT communication protocols and is designed for scalable deployment across edge and cloud infrastructures, representing a significant advancement in data- driven industrial asset management.
Disclaimer: Curated by HT Syndication.
