MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611070899 A) filed by Dr. Vinesh Kumar; Mrs Swati Choudhary; Dr Ajay Singh Parmar; and Dr Ravinder Kumar Arya on June 08, 2026, for Adaptive Ai-Driven Intuitionistic Fuzzy Predictive Fault Detection Framework For Smart Industrial Automation Systems.
Inventors include Dr. Vinesh Kumar; Mrs Swati Choudhary; Dr Ajay Singh Parmar; and Dr Ravinder Kumar Arya.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: ABSTRACT Adaptive AI-Driven Intuitionistic Fuzzy Predictive Fault Detection Framework for Smart Industrial Automation Systems The present invention discloses an Adaptive AI-Driven Intuitionistic Fuzzy Predictive Fault Detection Framework for smart industrial automation systems. The framework integrates real-time multi- modal sensor data acquisition from industrial machines with Intuitionistic Fuzzy Set Theory and advanced AI models to intelligently handle noisy, uncertain, and incomplete sensor readings. By computing membership degree, non-membership degree, and hesitation degree for each data point, the system effectively models ambiguity and uncertainty in machine behaviour. The AI predictive analysis module detects anomalies and predicts potential faults before they occur, while the fault classification module determines fault type and assigns severity levels. The alert generation module issues proactive maintenance notifications and actionable recommendations in real-time. The invention significantly reduces unplanned downtime, maintenance costs, and production losses while enhancing overall equipment effectiveness. It supports edge computing for low-latency operation and is highly scalable across diverse industrial machines, offering superior accuracy and reliability compared to conventional fuzzy and machine learning approaches in Industry 4.0 smart manufacturing environments. FIG. 1
Disclaimer: Curated by HT Syndication.
