Intellectual Property India Publishes Patent Application for Intelligent Predictive Maintenance System Using Lstm-Based Failure Prediction And Automated Alerting

MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611057282 A) filed by Mr. Rishabh Tomar; and Mr. Yuvansh Teotia on May 05, 2026, for Intelligent Predictive Maintenance System Using Lstm-Based Failure Prediction And Automated Alerting.

Inventors include Mr. Rishabh Tomar; and Mr. Yuvansh Teotia.

The application for the patent was published on July 17, 2026, under issue no. 29/2026.

Abstract: The invention presents an intelligent predictive maintenance system that utilizes deep learning techniques, specifically Long Short- Term Memory (LSTM) networks, to predict machinery failures using time-series sensor data. The system processes key operational parameters such as temperature, vibration, press...