MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083227 A) filed by Muthayammal Engineering College Autonomous on July 07, 2026, for Ai-Based Cognitive Decision Support System For Industrial Equipment Health Optimization And Failure Recovery.
Inventors include Dr. D. Sasikala; Dr. A. Rajasekaran; M. Brindha; S. Priya; A. Priyadharshini; S. Kishorebalaji; G. Gowrisankar; S. Sugumar; G. Vikash; and S. Prathaban.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to an AI-based cognitive decision support system for industrial equipment health optimization and failure recovery. The system acquires operational information from industrial equipment through multiple industrial data sources and processes the acquired information using a cognitive reasoning engine to evaluate equipment health, operational condition, maintenance requirements, and failure risk. The system integrates operational data, historical maintenance information, engineering knowledge, production constraints, and equipment behavior to generate context-aware recommendations for maintenance planning and operational decision-making. A failure recovery planning module automatically formulates adaptive recovery procedures by evaluating alternative corrective actions and recommending an optimized recovery sequence for restoring equipment functionality with minimal production disruption. The system continuously improves decision quality by incorporating validated operational outcomes and updated maintenance information into its knowledge repository. The disclosed invention supports deployment across various industrial environments and computing architectures, thereby enhancing equipment reliability, reducing unexpected downtime, improving maintenance efficiency, optimizing operational performance, and increasing overall industrial productivity.
Disclaimer: Curated by HT Syndication.
