School of Engineering

Projects

NAREC Knowledge Transfer Partnership

Background 

Almost all commercially available condition monitoring systems dedicatedly designed for wind turbines are vibration-analysis-based systems, which are good at detecting the mechanical faults occurring in wind turbine drive train while inefficient in detecting the electrical and power electronic faults occurring in wind turbine generator and power control system. However, the long-term wind power practice has shown that wind turbine electrical and power electronic control system are more vulnerable to fail than their mechanical counterpart (e.g. gears and bearings), particularly in harsh offshore environment.

Aim

This project aims to develop an innovative condition monitoring strategy that not only can effectively detect the mechanical faults occurring in wind turbine, but also can successfully detect the electrical and power electronic faults occurring in wind turbine generator and power electronic converter.

So far, a wind turbine drive train test rig has been developed together with the ORE-CATAPULT Centre and on which various kinds of wind turbine mechanical and electrical faults are being emulated. In the meantime, advanced nonlinear signal processing techniques have been successfully developed for processing the data collected for the test rig.