Smart Fault Detection for Wind Turbines

Using Semi-Supervised Adversarial Learning to Enhance Wind Turbine Reliability

9 mins
What is it about?

Energy

Environment

Technology

Wind turbines are vital for renewable energy generation, but their complex mechanical structures and harsh operational conditions make them prone to mechanical failures. Common failures include issues with bearings, couplings, and pedestals. Health monitoring and diagnosis are essential to enhance the reliability of wind turbines, minimize maintenance costs, and prevent severe accidents.