MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641024778 A) filed by Velammal Engineering College, Chennai, Tamil Nadu, on March 2, for 'ai-based smart vibration monitoring and predictive maintenance system for industrial machinery.'
Inventor(s) include Mr. G. Subramanian; Dr. M. Ponnrajakumari; Dr. V. Magesh; Mrs. S. Sarupriya; Mr. E. Gangadurai; Dr. N. Deepa; Mrs. S. Kavitha; Dr. S. Sumathi; Mr. Badiganchela Shiva Kumar; and Dr. B. Raja Sekhar Reddy.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-Based Smart Vibration Monitoring and Predictive Maintenance System for Industrial Machinery. The system integrates triaxial vibration sensors, edge computing architecture, and hybrid deep learning techniques including Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Support Vector Machine (SVM) classifiers for real-time fault detection and predictive maintenance. The method involves vibration signal acquisition, preprocessing, frequency-domain feature extraction using FFT, AI-based anomaly detection, and Remaining Useful Life (RUL) prediction. The proposed system achieves high fault detection accuracy (97.8%) with low latency (45 ms) through edge deployment. The invention significantly reduces downtime, improves maintenance efficiency, and enhances industrial operational reliability through intelligent predictive analytics."
Disclaimer: Curated by HT Syndication.
