Enhance paper mill efficiency with AI-driven preventive maintenance and pulp quality control. Combining sensing technology and AI, this solution enables real-time refiner condition monitoring, predicting equipment health, and improving pulp quality.
This innovative solution leverages AI and sensing technology to provide an intelligent framework for preventive maintenance in paper mills. By monitoring the condition of refiners and assessing pulp quality, this system aims to enhance equipment longevity and improve board strength properties. Key benefits include early detection of equipment wear, improved production efficiency, and enhanced pulp quality.
Key features:
Currently at Technology Readiness Level 3, this solution has been validated in laboratory settings. The next steps involve testing in operational paper mill environments to refine model accuracy and applicability. Collaboration with industry partners will help tailor the solution to specific operational needs.
Oregon State University is a comprehensive public research university and Oregon’s land‑grant institution, with a main campus in Corvallis and a statewide footprint. Industry partners tap a statewide Extension network and county offices to pilot and scale solutions with communities and companies across Oregon. A coastal marine science campus in Newport anchors ocean research and provides access to open‑ocean wave‑energy test ranges and grid‑connected infrastructure under development nearby, enabling sea‑to‑shore prototyping. Field stations and university‑managed research forests support long‑term trials and product validation in real‑world environments. A dedicated technology transfer office and the OSU Advantage programs—including the Advantage Accelerator—streamline IP, licensing, startup formation, and industry agreements.