A wind turbine impeller unbalance detection method based on stator current envelope spectrum

A stator current, wind turbine technology, applied in wind turbines, neural learning methods, engines, etc., can solve problems such as the stability of detection results and detection accuracy are affected by human factors, signals are susceptible to noise interference, fault information judgment errors, etc. Achieve the effect of avoiding the trouble caused by model judgment, easy analysis and judgment, and high accuracy

Active Publication Date: 2021-12-07
ZHEJIANG WINDEY +1
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  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to overcome that in the prior art, the signal of the unbalance detection and analysis of the impeller of the wind turbine is very easily disturbed by noise, and the fault information is easily submerged to cause judgment errors, and the stability and detection accuracy of the detection results are seriously affected by human factors. To solve the technical problems that easily lead to inaccurate detection, a wind turbine impeller unbalance detection method based on the stator current envelope spectrum is provided. In the case of complex operating conditions of the wind turbine, serious environmental noise interference, and high data acquisition costs, the method Methods Through the convolutional neural network model, the Hilbert demodulation method is used to extract the stator current envelope spectrum data and learn the fault characteristics during the operation of the wind turbine, which can adaptively capture the fault characteristics from the signal and avoid the environment Uncertainty interference caused by noise, fluctuation and human judgment error has high recognition accuracy and speed; at the same time, data collection does not need to install additional sensors, which greatly reduces the test cost, and the accuracy of data collection is affected by the environment. High, can effectively avoid natural environmental factors from causing troubles to model judgment

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  • A wind turbine impeller unbalance detection method based on stator current envelope spectrum

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Embodiment 1

[0030] Embodiment 1: A wind turbine impeller unbalance detection method based on the stator current envelope spectrum of this embodiment includes the following steps:

[0031] S1. Collect stator current signal: collect the generator stator current signal under the balance and unbalance state of the wind turbine impeller. The generator stator current signal is collected directly through the converter without installing additional sensors. The balanced state and unbalanced state of the impeller are generated by changing the pitch angle of the blade.

[0032] S2. Process the collected generator stator current signal: combine the Hilbert transform method to perform envelope demodulation on the generator stator current signal, calculate the Hilbert transform for the collected original stator current signal to obtain the imaginary part of the original signal , and then combine the imaginary part of the original signal with the original stator current signal to find the amplitude env...

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Abstract

The invention discloses a wind turbine impeller imbalance detection method based on the stator current envelope spectrum, comprising the following steps: collecting stator current signals, processing the collected generator stator current signals, constructing sample databases, constructing neural network models, Detect the database, deliver sample data, identify and judge, and output results. The present invention uses the convolutional neural network model and the Hilbert demodulation method to extract the stator current envelope spectrum data and learn the fault characteristics during the operation of the wind turbine, and can adaptively capture the fault characteristics from the signal, avoiding the Uncertainty interference caused by environmental noise, fluctuations, and human judgment errors has high recognition accuracy. At the same time, data acquisition does not require the installation of additional sensors, which reduces test costs. Data acquisition is less affected by the environment and has a high accuracy rate. It can effectively avoid the troubles caused by natural environmental factors to model judgment, and is suitable for complex operating conditions of wind turbines.

Description

technical field [0001] The invention relates to the field of wind turbines, in particular to a method for detecting the unbalance of a wind turbine impeller based on a stator current envelope spectrum. Background technique [0002] Wind turbines have been operating in the field for a long time, and the outdoor operating environment is usually relatively harsh. Therefore, this environment has caused a high failure rate of wind turbines, and the reasons for the failures are various. For example, the blades will cause the mass imbalance of the impeller due to wind and sand, icing and uneven mass distribution. In addition, the blades will also have cracks due to fatigue stress during long-term operation, resulting in the problem of aerodynamic imbalance of the impeller. [0003] In recent years, my country's wind power industry has developed rapidly, and the grid-connected capacity of wind turbines has continued to increase. In particular, the planning of offshore wind turbines ...

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): F03D17/00G06N3/04G06N3/08
CPCF03D17/00G06N3/08F05B2260/80F05B2260/84G06N3/045
Inventor陈棋肖威孙勇林勇刚马灵芝
OwnerZHEJIANG WINDEY