Intellectual Property India Publishes Patent Application for A System And Method For Intelligent Mechanical Vibration Monitoring And Predictive Failure Analysis In Rotational Machinery

MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076594 A) filed by Dr. M. Sucharitha; Dr. G. Yuvaraj; Dr. K. Venkatesan; Katore Sandeep Suresh; and Dr. M. Vijay Anand on June 20, 2026, for A System And Method For Intelligent Mechanical Vibration Monitoring And Predictive Failure Analysis In Rotational Machinery.

Inventors include Dr. M. Sucharitha; Dr. G. Yuvaraj; Dr. K. Venkatesan; Katore Sandeep Suresh; and Dr. M. Vijay Anand.

The application for the patent was published on July 03, 2026, under issue no. 27/2026.

Abstract: ABSTRACT A System and Method for Intelligent Mechanical Vibration Monitoring and Predictive Failure Analysis in Rotational Machinery The present disclosure provides a system and method for context-aware multi-physics vibration monitoring and predictive failure analysis in rotational machinery. The system acquires machine operating data from a number of sensors such as vibration, acoustic emission, temperature, lubrication condition, shaft displacement, torque, electrical current and rotational speed sensors. The multi-physics correlation fusion module generates a single machine condition representation, and the Failure Genome Mapping module generates and continuously updates machine specific degradation profiles. A micro-degradation detection module detects incipient fault conditions and a dynamic failure signature evolution engine predicts the degradation progression and future machine- condition states. The system further comprising a failure propagation prediction module, adaptive resonance discovery module, predictive reliability quantification module, explainable predictive intelligence module and maintenance optimization module. The present invention provides early fault detection, machine specific predictive diagnostics, resonance evaluation, reliability quantification and maintenance optimization for improved operational reliability, reduced unplanned downtime, reduced maintenance costs and increased life of rotational machinery.

Disclaimer: Curated by HT Syndication.