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Wind generating set blade fault diagnosis method and device

A technology for fault diagnosis of wind turbines, applied in the direction of measuring devices, testing of mechanical components, testing of machine/structural components, etc., can solve problems such as burnt out units, loss, blade breakage, etc., to reduce maintenance costs, reduce The effect of reducing power generation loss and improving overall reliability

Active Publication Date: 2015-12-09
北京汉能华科技股份有限公司
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Problems solved by technology

[0002] Blades are one of the key components of wind turbines. During the working process, they are affected by factors such as strong wind load, sand erosion, atmospheric oxidation and humid air corrosion, and lightning strikes. Pores, cracks, wear, corrosion and other problems will inevitably occur, such as Failure to deal with it in time will lead to breakage of the blades, which may cause downtime in the slightest, or burn out the unit in severe cases, affecting the normal power supply and causing irreparable losses

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  • Wind generating set blade fault diagnosis method and device
  • Wind generating set blade fault diagnosis method and device
  • Wind generating set blade fault diagnosis method and device

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Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] figure 1 A flowchart of a method for diagnosing a blade fault of a wind power generating set according to an embodiment of the present invention is shown. Such as figure 1 As shown, the method includes:

[0036] Step S110, collecting noise signals of each blade of the wind power generating set.

[0037] Step S120, obtaining the frequency spectrum features of the noise signal of each blade.

[0038] In this step, the frequency spectrum of the noise signal is obtained by converting the noise signal from a time-domain signal to a frequency-domain signal; the spectrum characteristics of the noise signal include: the amplitude of the frequency spectrum of the noise signal, the average of the amplitude of the frequency spectrum of ...

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Abstract

The invention discloses a wind generating set blade fault diagnosis method and device. The method comprises the steps of: collecting noise signals of each blade of a wind generating set; obtaining frequency spectrum characteristics of the noise signals of each blade; and judging whether there is a faulted blade according to the frequency spectrum characteristics of the noise signals of each blade. According to the technical scheme of the invention, on the premise that the normal operation of the wind generating set is not influenced, the blade states are monitored by collecting, processing and analyzing the noise signals of each blade of the wind generating set, various kinds of abnormal states or fault states of the blades can be accurately diagnosed in time, and corresponding solutions can further be made according to the diagnosed faults, so that the unnecessary losses caused by accidents and the power generation loss caused by shutdown maintenance and overhaul are lowered, the maintenance cost of the blades is reduced, and the integral reliability, the stability and the integral benefit of the wind generating set are improved.

Description

technical field [0001] The invention relates to the field of wind power generation, in particular to a method and device for fault diagnosis of blades of a wind power generating set. Background technique [0002] Blades are one of the key components of wind turbines. During the working process, they are affected by factors such as strong wind load, sand erosion, atmospheric oxidation and humid air corrosion, and lightning strikes. Pores, cracks, wear, corrosion and other problems will inevitably occur, such as Failure to deal with it in time will lead to breakage of the blades, which may cause downtime in the slightest, or burn out the unit in severe cases, affecting the normal power supply and causing irreparable losses. [0003] Therefore, how to monitor the status of the blades of the wind turbine in real time without affecting the normal operation of the wind turbine, and timely and accurately diagnose various abnormal states or fault states of the blades is very importa...

Claims

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Application Information

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IPC IPC(8): G01M13/00
Inventor 张彪岳宁刘张辉刘晓枫
Owner 北京汉能华科技股份有限公司
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