Predictive Maintenance and Performance Optimization for the Renewable Energy Industry
Curtiss-Wright's predictive maintenance platform, supply chain and inventory applications, and plant performance suite of products increase efficiency and optimize performance for the wind, solar, geothermal, and other renewable power markets.
Case Study
A wind farm experienced a series of generator failures over a short amount of time. Using Curtiss-Wright's StressWave technology, the wind farm found early signs of degradation on a MW class wind turbine generator, resulting an approximately $155k in cost savings.