An Intelligent Diagnosis Method Based on Grey Rough Set Theory for Wind Turbine Driving Chain
Wei Jiang · Power System and Clean Energy · 2012
The condition monitoring and fault diagnosis are crucial to ensure the long-term safe and stable operation of wind turbines.The transmission chain system of the wind turbine is prone to have various faults with complicated causes,and the fault symptom,failure causes and the failure mechanism are very uncertain in different working conditions.As indicated in this paper,in the process of the fault diagnosis,rough set theory is used to reduce superfluous attributes and quantitatively determine the relative importance of the attributes,and then Grey correlation analysis is used to calculate the Grey correlation degrees of all the standard fault states with respect to the current state according to reduced attributes and their relative importance so as to find out the fault.An example is used to demonstrate the feasibility of the method.The method lays the foundation for the intelligent fault diagnosis.