How Yara and UReason are reshaping predictive maintenance in process industries
In an industry where every second of unplanned downtime can cost thousands, predictive maintenance is no longer a nice-to-have—it’s a necessity. Yara International, a global leader in crop nutrition and industrial solutions, has taken bold steps in this direction. By integrating UReason’s Control Valve App (CVA) into their Digital Production Platform (DPP), Yara is achieving next-level control valve performance and plant reliability.
Turning Raw Data into Real-World Value
Yara’s DPP is built to go beyond traditional data lakes. It doesn’t just store information—it transforms raw operational data into actionable insights. One of the standout tools in this system is Yara AnomaliSense™, a proprietary AI-powered anomaly detection platform that enables early detection of process issues.
The real innovation, however, comes from combining this with UReason’s Control Valve App, which continuously monitors valve health using only standard control signals—no expensive sensors or hardware upgrades required. Together, the tools empower Yara’s engineers to predict failures, reduce false alarms, and optimize maintenance planning.
Proactive Valve Diagnostics in Action
From identifying valve stiction and calibration drift to supporting lifecycle decisions based on actual asset condition, the CVA gives maintenance teams the insights they need to act before issues escalate. The vendor-agnostic nature of the app means it works across Yara’s global fleet of valves—regardless of brand or model.
In the words of Yara’s own engineers, this integrated approach is not just a step forward—it’s a cultural shift toward data-driven decision-making at every level of the organization.
Want to read the full story?
Discover how Yara rolled out the Control Valve App at one of their European sites, the tangible results it delivered, and how their predictive maintenance vision is evolving with LLMs, advanced analytics, and cloud platforms.
You’ll find us on page 25 👉
