Digital Intelligence: From Sensors to Self-Optimizing Plants
Arrays of vibration, temperature, and acoustic sensors feed machine-learning models that predict bearing wear, cavitation, or seal failures long before outages occur. Plants schedule maintenance precisely, cut spare-part waste, and avoid costly surprises. Tell us: where has your team found the biggest reliability win from data?
Digital Intelligence: From Sensors to Self-Optimizing Plants
Virtual replicas mirror real equipment and hydrology in real time, testing operating points without risking metal. Engineers simulate blade angles, flows, and reservoir levels, then push the optimal strategy to the control room. If you could clone one asset as a twin tomorrow, which would it be and why?