Audio-based predictive maintenance in hydropower plants
A pilot with one of the world's largest hydropower companies on 30 plants sharing the same stator type, where rare failures make collaborative modelling essential.
Challenge
A hydropower company operating 30 plants with the same stator type wanted to predict failures that are extremely rare at any single plant.
Solution
Arundo piloted audio-based predictive maintenance, pooling the plants' data so that the rare failure events across the fleet become enough to model.
Impact
A collaborative predictive-maintenance approach across 30 plants.