2023–Present

Multi-level Intelligent Condition Monitoring for Wind Turbines

风电机组多层级智能状态监测

Role: Principal researcher

This project studies decision-support-oriented multi-level intelligent condition monitoring of wind turbines.

The research connects turbine-level operating state representation, subsystem-level heterogeneous monitoring, gearbox degradation monitoring, blade crack propagation prediction, and predictive maintenance strategy optimization.