Wind turbine gearbox fault diagnosis based on the vibration spectrum analysis

Abstract

Gear box has the high failure rate among the components in wind turbines and the vibration signal analysis is the most common technology in its fault diagnosis. Gearbox vibration signals of wind turbines have complicated compositions, strong background noise and obvious non-stationary characteristi cs. The new method research suited to non-stationary and non-gaussian characteristics of vibration signals is the key to improve the level of fault diagnosis technology. In order to diagnosis the operation status of wind turbines, based on the spectral analysis and the combination of vibration wave spectrum analysis of wind turbine gearbox fault diagnosis method is proposed. Through the gearbox oil spectral analysis, tests the main metal content in the oil, the preliminary judgment out of the wind turbine operation working condition. Using the vibration waveform frequency spectrum analysis method can get the fault severity, and analyzes the cause of the problem. This method can realize the wind turbine gearbox fault diagnosis, to ensure reliability. It is can effectively conduct the wind turbine development, design and optimization, and reduces maintenance costs.