
At the 2026 Turbomachinery and Pump Symposia, Engro Fertilizers’ Muhammad Uzair Javed explained how his team traced persistent high vibration to train misalignment, then moved a 100-ton turbine skid to cut vibration in half.
Turbomachinery assets are often critical and complex to monitor, but costly to operations if unplanned shutdowns or prolonged performance issues occur. Leading industrial companies are broadening and digitalizing their approach to leverage data and AI/ML effectively to advance the real-time monitoring of these assets. This article reviews tools and techniques that the best-in-class leaders are deploying to reduce unplanned downtime, reduce maintenance costs, and improve sustainability of assets.






