Wind generating set blade abnormal recognition method and device

A technology for wind turbines and abnormality identification, applied in wind turbines, wind turbine monitoring, engines, etc., can solve problems such as blade problem lag, failure to detect blade abnormalities in time, etc.

Active Publication Date: 2018-05-29
BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a method and device for identifying blade abnormality of a wind power generating set, so as to solve the problem in the prior art that blade problems are lagging behind and blade abnormalities cannot be found in time

Method used

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  • Wind generating set blade abnormal recognition method and device
  • Wind generating set blade abnormal recognition method and device
  • Wind generating set blade abnormal recognition method and device

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Experimental program
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Effect test

Embodiment 1

[0029] In this embodiment, a method for identifying abnormality of blades of a wind power generating set is provided, which is used for safety monitoring of the operating state of the wind power generating set. Crack and affect the aerodynamic performance of the blade or the balance of the impeller operation, so as to find the abnormal blade in time.

[0030] The method for identifying abnormality of blades of wind power generators in this embodiment, the flow chart is as follows figure 1 shown, including the following steps:

[0031] S11. Obtain operating parameter data of the wind power generating set, where the operating parameter data at least includes a Y-direction acceleration value.

[0032] The operation parameter selection historical data of the wind power generation unit described in this embodiment can be the historical data of recording the operation situation of the wind power generation unit within a period of time. The data includes at least the acceleration va...

Embodiment 2

[0045] In this embodiment, a method for identifying abnormality of blades of a wind power generating set is provided. The usage scenario is the same as that in Embodiment 1, and the flow chart is as follows figure 2 As shown, the method includes the following steps:

[0046] S21. Obtain operating parameter data of the wind power generating set, where the operating parameter data at least includes an acceleration value in the Y direction.

[0047] The operating parameter data of the wind power generating set input here is on-site transient operating data, which can be real-time data or pre-stored historical data. For example, the data sampling frequency is 1 / 7Hz, also known as 7-second data or 7s data, that is, every 7 seconds, the central monitoring system will record the instantaneous values ​​of different variable signals during the operation of the unit as required for real-time or historical data storage down. The basic variable signals contained in the on-site detectio...

specific Embodiment approach

[0071] Specific implementation methods include as follows:

[0072] 1) Select the data of the small wind speed segment (5-8m / s) of the unit, divide the bins according to the wind speed every 0.5m / s, and select the bins with abnormally obvious amplitude of the acceleration signal of the cabin through data training, and use this program to detect the bin data , the target parameter reference value and the target difference threshold also need to be determined during the data training process.

[0073] 2) Select the data of the high-power segment of the unit (greater than or equal to (rated power-200kW)), divide the bins according to the power of 50kW, and select the bins with abnormally obvious amplitude of the acceleration signal of the cabin through data training, and use this program to detect the bin data , the target parameter reference value and the target difference threshold in the algorithm also need to be determined during the data training process.

[0074] 3) Select...

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Abstract

The invention relates to the field of wind power, in particular to a wind generating set blade abnormal recognition method. The wind generating set blade abnormal recognition method is used for monitoring the operation state of a wind generating set, operation parameter data of the wind generating set are obtained at first and at least comprise the Y-direction acceleration value, then, abnormal detection data are determined based on the operation parameter data, abnormal detection data sections where the abnormal detection data occur continuously are determined, the total frequency of the abnormal detection data sections is counted, if the total frequency is larger than or equal to the preset abnormal frequency threshold value, it is judged that a wind generating set blade is abnormal, andif not, the blade is not judged to be abnormal. Due to the fact that the performance of the blade is reduced due to cracking and other issues of the blade, the Y-direction acceleration value in the fan operating process can be abnormal, if the abnormal data frequently occur within a certain time continuously, it explains that the blade is abnormal, blade abnormity can be monitored in time when happening, and the blade abnormal recognition timeliness and accuracy are improved.

Description

technical field [0001] The invention relates to the technical field of wind power, in particular to a method and device for identifying abnormality of blades of a wind power generating set. Background technique [0002] Wind power generation refers to converting the kinetic energy of wind into electrical energy. As wind energy is a clean and renewable energy source, it has been paid more and more attention. The devices required for wind power generation are called wind turbines. The wind power generation unit includes a wind rotor and a generator. The wind rotor consists of blades, hubs, reinforcements, etc. The generator is set in the nacelle, and the blades are rotated by the wind to generate electricity. It can be seen that the blade is the core component of the process of wind power generation. [0003] During the process of rotating the blades to generate electricity, due to long-term exposure to the natural environment, cracks and breaks may occur after long-term ope...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D17/00
CPCF03D17/00
Inventor 张斌周杰
Owner BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
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