Fault Evolution Parameter Extraction Method Faced to Wind Turbine Gearbox System

Abstract

Rotating machinery is the most widely used mechanical equipment in production, and wind turbines are typical large rotating machinery, whether the equipment running in safe and stable state has an important impact on the economy and society. The wind turbine gear running in variable conditions and variable speed state, so traditional method which studying fault mechanism through fault feature frequency under certain speed is no longer applicable. This paper describes the evolutionary trajectory of spalling fault of wind turbine gearbox transmission system. Deterioration evolutionary matrix has been proposed based on higher-order cumulant method, and the mapping mechanism is established between the fault evolution and fault state migration. Fault evolution parameter such as mean value and variance of normal distribution has been extracted and used to depict fault evolutionary track. Finally, the graphical representation of fault evolution process is explored. Concerning the fault of gearbox transmission system, this research mainly emphasizes on fault evolution. It will provide scientific means to implement predictive maintenance, and avoid occurrence of fatal accidents.