MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641082602 A) filed by Muthayammal Engineering College Autonomous on July 04, 2026, for Dynamic Predictive Maintenance Architecture For Smart Factories Using Adaptive Artificial Intelligence Models.
Inventors include Dr. K. Sankar; Mrs. R. Khowshalya; Rajesh R; Manikandan S; Sriram S; Sabari Krishnan M; T. Valeeshwaran; M. Arunkumar; R. Tamilselvam; and S. Kavitha.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to a dynamic predictive maintenance architecture for smart factories using adaptive artificial intelligence models. The architecture comprises a smart factory data acquisition layer, an adaptive industrial data processing engine, a dynamic artificial intelligence model management framework, an equipment state interpretation engine, a predictive maintenance intelligence module, a failure probability estimation framework, a maintenance strategy orchestration engine, a continuous feedback and learning repository, a production-aware maintenance coordination module, a resource optimization and scheduling framework, an autonomous decision support platform, and a factory reliability visualization interface. Operational information acquired from industrial assets and production systems is processed to determine equipment conditions, estimate degradation tendencies and failure probabilities, and generate maintenance strategies according to changing factory conditions. The invention continuously refines analytical models through adaptive learning and synchronizes maintenance activities with production requirements, thereby improving equipment reliability, reducing unplanned downtime, optimizing maintenance resources, and enhancing operational efficiency in smart manufacturing environments.
Disclaimer: Curated by HT Syndication.
