Method and apparatus for predicting failure of a wind turbine

A fan and fault technology, applied in the field of predicting the fault of the fan, can solve the problems of not being able to reflect the real state of the fan, not being able to warn of faults, and having a great influence on the operating status of the fan

Active Publication Date: 2020-11-10
XINJIANG GOLDWIND SCI & TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are some fault early warning methods, but these early warning methods usually set a threshold for a single state parameter of the wind turbine and perform real-time detection for early warning. The parameters often cannot reflect the real state of the wind turbine, so the existing early warning methods cannot effectively and accurately warn the fault in advance

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  • Method and apparatus for predicting failure of a wind turbine
  • Method and apparatus for predicting failure of a wind turbine
  • Method and apparatus for predicting failure of a wind turbine

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Embodiment Construction

[0053] Various example embodiments will now be described more fully with reference to the accompanying drawings.

[0054] figure 1 A flowchart showing a method for predicting a failure of a wind turbine according to an embodiment of the present invention.

[0055] Such as figure 1 As shown, in step S110, the fan model of the fan is initialized.

[0056] The fan model reflects the relationship between the environmental conditions of the fan and the state parameters of the fan (hereinafter referred to as fan state parameters). In other words, when environmental conditions are input to the wind turbine model, the wind turbine model can estimate and output corresponding wind turbine state parameters.

[0057] The wind turbine model can be established by obtaining the measured environmental conditions and the measured wind turbine state parameters. In addition, empirical models can also be used as fan models. Various modeling techniques can be used to establish the fan model, ...

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Abstract

A method and apparatus for predicting failure of a wind turbine are provided. The method includes: initializing the fan model of the fan; periodically updating the fan model parameters of the fan model according to the current environmental conditions and the current actual fan state parameters of the fan; A fan model parameter change model; based on future environmental conditions at a future moment, using the fan model parameter change model to predict the fan model parameters at the future moment; according to the historical fan model parameters and corresponding historical fan faults, a fan fault model is established; According to the predicted wind turbine model parameters and the wind turbine failure model, the failure of the wind turbine in the future is predicted. According to the present invention, it is possible to accurately predict the failure of the fan.

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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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0635G06Q50/06Y02E10/72F03D7/0292F05B2260/84F03D17/00G01R31/343
Inventor张光磊刘源周杰
OwnerXINJIANG GOLDWIND SCI & TECH CO LTD