Kriging model based wind turbine gearbox fault diagnosis method

Abstract

The invention discloses a Kriging model based wind turbine gearbox fault diagnosis method which includes the steps of acquiring multiple vibration signal sequences of a wind turbine gearbox in different modes of working conditions and calculating multiple fault signal feature values; building a corresponding relation between the modes of working conditions and diagnosis target values and building a sample data list; building a variogram theoretical model according to the sample data list; building a Kriging model on the basis of the variogram theoretical model; detecting the fault signal feature values of to-be-diagnosed vibration signals and inputting the Kriging model to acquire a Kriging estimator, and inquiring the corresponding relation between the modes of working conditions and the diagnosis target values according to the estimator so as to determine the modes of working conditions of the to-be-diagnosed vibration signals. The Kriging model based wind turbine gearbox fault diagnosis method has the advantages of rapid diagnosis, accurate diagnosis result, good nonlinear fitting effect, use flexibility and small calculation amount, and can lay a foundation for online fault diagnosis of wind turbine gearboxes.

Description

technical field [0001] The invention relates to a fault diagnosis technology of a wind turbine gearbox, in particular to a fault diagnosis method for a wind turbine gearbox based on a Kriging model. Background technique [0002] At present, most wind turbines are mainly based on the horizontal axis, including stall type, variable pitch type, variable pitch variable speed type, direct drive type, permanent magnet type, semi-direct drive type, etc. The megawatt-level wind turbine is currently the mainstream model in the wind power market, and the gearbox is composed of a gearbox body, gears, transmission shafts, bearings and bearing housings. With the rapid increase of my country's wind power installed capacity and the accumulation of wind turbine operation time, unit outages caused by gearbox failure or damage occur from time to time. According to statistics, the damage rate of gearboxes in my country's wind farms is as high as 40-50%, and the replacement rate of gearboxes f...

AI Technical Summary

Problems solved by technology

However, due to the uncertainty in the relationship between the fault symptoms and causes of wind turbine gearboxes, and the various existing intelligent diagnosis methods are not perfect enough, the existing intelligent diagnosis methods not only have a large amount of calculation, but are also real-time Poor, and the fault misjudgment rate is high, it is difficult to meet the actual needs of the project

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