MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123702 A) filed by Amrita Vishwa Vidyapeetham on October 15, 2026, for Machine-Specific Vibration Characterization And Anomaly Detection.
Inventors include Lakshmanasamy, Logesh; and Mogenahalli Ranganath, Rashmi.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present disclosure provides machine-specific, and vibration-based anomaly detection for a vibration source (108). A vibration sensor (106) generates a vibration signal (106-4) associated with the vibration source (108). An edge microcontroller (110) receives the vibration signal (106-4) and executes a best-performing classifier (102-4B) stored in an edge memory (112) to compute an edge-based similarity score (112-4) locally. A motor disconnection circuit (116) admits a control signal (110- 4) from the edge microcontroller (110), which electrically isolates the vibration source (108) from a power supply upon triggering of an anomaly state (110-6). Unlike conventional monitoring setups, that rely on rigid thresholding, or high-latency cloud analytics, the system (100) utilizes a local edge processing node, and a dynamic multi-model benchmarking framework to establish an autonomous, and low-power diagnostic loop, that adaptively detects mechanical wear, and isolates failing machinery in real time.
Disclaimer: Curated by HT Syndication.
