Method and device for predicting fault of fan

Abstract

A method and device for predicting the fault of a fan are provided. The method includes the steps of initializing a fan model of a fan; periodically updating fan model parameters of the fan model according to current environmental conditions and current actual fan state parameters of the fan; establishing a fan model parameter variation model according to historical fan model parameters and corresponding historical environmental conditions; predicting fan model parameters at a future moment using the fan model parameter variation model on the basis of future environmental conditions at the future moment; establishing a fan fault model according to the historical fan model parameters and corresponding historical fan faults; and predicting a fan fault at a future moment according to the predicted fan model parameters and the fan fault model. According to the invention, the fault of the fan can be accurately predicted.

Description

technical field [0001] The invention relates to the field of wind energy. More specifically, it relates to a method and apparatus for predicting failure of a wind turbine. Background technique [0002] Wind energy, as a clean renewable energy, has been paid more and more attention, and the installed capacity of wind energy equipment (ie, wind turbines) is also increasing. The wind turbine may be various devices driven by wind energy, for example, various devices driven by wind energy such as wind power generation equipment and windmills. [0003] Fans usually operate under natural conditions such as the field, and the cost of maintenance is relatively high. Therefore, predicting the failure of the wind turbine in advance can effectively know the possible failure of the wind turbine in advance, so that measures can be taken to avoid the occurrence of the failure. At present, there are some fault early warning methods, but these early warning methods usually set a threshold...

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