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Fault detection method, system and equipment for blade root bolt and medium

A fault detection and bolt technology is applied in the field of wind power blade fault detection to achieve the effect of improving accuracy and work efficiency and avoiding time cost

Pending Publication Date: 2022-01-21
SHANGHAI ELECTRIC WIND POWER GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the defect that in the prior art, in order to ensure the safety of the blade root bolts, manual inspections are mainly carried out on site to find out whether there is a fault in the blade root bolts, and to provide a blade root bolt Fault detection method, system, equipment and medium

Method used

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  • Fault detection method, system and equipment for blade root bolt and medium
  • Fault detection method, system and equipment for blade root bolt and medium
  • Fault detection method, system and equipment for blade root bolt and medium

Examples

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Embodiment 1

[0056] like figure 1 As shown, this embodiment provides a fault detection method for blade root bolts, which is applied to a fan. The fan includes a hub and at least two flanges, and each flange is fixed on the hub by a plurality of blade root bolts. The fault detection method includes Follow the steps below:

[0057] S11. Obtain pretightening force data of target detection points on each flange.

[0058] In this embodiment, the wind turbine can be a two-blade wind turbine, a three-blade wind turbine or a four-blade wind turbine. figure 2 The three-blade wind turbine shown is taken as an example. The wind turbine includes a tower (not shown in the figure), a nacelle (not shown in the figure) installed on the tower, and a wind rotor assembled to the nacelle. The wind rotor includes a Rotating hub 1 and 3 blades, the 3 blades are respectively installed on the hub 1 through 3 flanges, the 3 flanges are respectively the first flange 21 (hereinafter referred to as A flange) show...

Embodiment 2

[0100] On the basis of Embodiment 1, this embodiment provides a fault detection method for blade root bolts, such as Image 6 Shown, improved compared with embodiment 1, specifically:

[0101] In one embodiment, the fault detection method also includes the steps of:

[0102] S131. Calculate the ratio of the pretightening force change data of the target detection points on any two flanges.

[0103] S132. If all the ratios fall within the preset range, it is determined that the blade root bolt is not faulty.

[0104] Exemplarily, calculate the preload change data of any two flanges in the first flange 21 (A flange), the second flange 22 (B flange) and the third flange 23 (C flange). Ratio, that is, calculate the ratio of the preload change data of the A flange to the preload change data of the B flange Δ A / B Calculate the value of the preload change data of the C flange and the ratio of the preload change data of the B flange Δ C / B Calculate the ratio of the preload change d...

Embodiment 3

[0113] like Figure 7 As shown, this embodiment provides a fault detection system for blade root bolts, which is applied to wind turbines. The wind turbine includes a hub and at least two flanges, and each flange is fixed on the hub by a plurality of blade root bolts. The fault detection system includes : an acquisition module 210 , a calculation module 220 and a detection module 230 .

[0114] Wherein, the acquiring module 210 is configured to acquire the pretightening force data of the target detection points on each flange.

[0115] In this embodiment, the wind turbine can be a two-blade wind turbine, a three-blade wind turbine or a four-blade wind turbine. figure 2The three-blade wind turbine shown is taken as an example. The wind turbine includes a tower (not shown in the figure), a nacelle (not shown in the figure) installed on the tower, and a wind rotor assembled to the nacelle. The wind rotor includes a Rotating hub 1 and 3 blades, the 3 blades are respectively ins...

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Abstract

The invention discloses a fault detection method, system and device for a blade root bolt and a medium. The fault detection method comprises the steps of acquiring pre-tightening force data of target detection points on all flanges; calculating pre-tightening force change data of each target detection point based on the pre-tightening force data; and performing fault detection on the blade root bolt according to the pre-tightening force change data of the target detection points on the at least two flanges. According to the method, the information of the blade root bolt with the fault on any flange is analyzed and determined by automatically calculating the pre-tightening force data, so that the defect that a large amount of time and cost are consumed due to manual troubleshooting is overcome, and the precision of maintenance work and the working efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of fault detection of wind power blades, in particular to a wind power blade fault detection technology. Method, system, device and medium for blade root bolt fault detection. Background technique [0002] my country is one of the countries with the most abundant wind energy in the world, and wind power generation has very broad development prospects in global energy exploitation. In recent years, wind power generation equipment has increased significantly. The blades are driven by wind, and the wind energy is converted into the mechanical energy selected by the blades, and finally the mechanical energy is converted into electrical energy. [0003] In the process of wind power generation, the normal rotation and pitch of the blades are the key points. When some blade root bolts are loose or broken, multiple blade root bolts will break, which will eventually lead to the falling off of the fan blades and safe...

Claims

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Application Information

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IPC IPC(8): G01M13/00
CPCG01M13/00Y02E10/72
Inventor 王天娇许梦华
Owner SHANGHAI ELECTRIC WIND POWER GRP CO LTD
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