Machine Learning Engineer
Current• Based on feature engineering and machine learning algorithm, a fault diagnosis model for important components of wind turbine is developed (the rate of missed alarm is 0%, the rate of false alarm is 3%), which realizes early warning and avoids millions of losses caused by failure of large components for the company. At the same time, the workload of fault diagnosis experts is greatly reduced, and manpower cost is reduced.