Method and system for evaluating wind turbine rotor balance

Abstract

The present disclosure provides a wind turbine impeller balance evaluation method and system. The wind turbine impeller balance evaluation method comprises: obtaining the axial displacement data of the dynamic shaft of the generator of the wind turbine during the rotation of the impeller; screening the axial displacement data according to the operation data of the wind turbine; and determining the impeller balance according to the screened axial displacement data.

Description

Technical Field

[0001] This disclosure relates to the field of wind power generation, and more specifically, to a method and system for evaluating the balance of wind turbine rotors. Background Technology

[0002] With the increasing use of large-rotor wind turbines in low-wind-speed and offshore applications, the wind load balance of large rotors has become a concern. Currently, the evaluation of rotor balance is mainly based on methods such as blade clearance, deformation, vibration, and noise arrays.

[0003] However, these methods for directly detecting blade deformation are easily affected by visibility, air density, and background noise when testing blade deformation, resulting in uncertainties. They are difficult to guarantee the accuracy of measuring the complex deformation of long and flexible blades, and they also require high-level algorithms. Summary of the Invention

[0004] To address the problem that existing testing methods are susceptible to the influence of visibility, air density, and background noise when testing blade deformation, making it difficult to guarantee measurement accuracy, this disclosure provides the following technical solution.

[0005] According to one aspect of this disclosure, a method for evaluating the balance of a wind turbine impeller is provided. The evaluation method includes: acquiring axial displacement data of the moving shaft of the wind turbine when the impeller rotates; filtering the axial displacement data based on the operating data of the wind turbine; and determining the impeller balance based on the filtered axial displacement data.

[0006] The step of filtering the axial displacement data based on the wind turbine's operating data includes: calculating the discrete distribution value of the wind turbine's operating data. delta ; and the discrete distribution values ​​of the operating data of the wind turbine generators were selected. delta Axial displacement data when a predetermined threshold is met.

[0007] Discrete distribution value of the operating data of the wind turbine delta Determined according to the following formula: , fs For data sampling rate, T 0 For the rotation period, x i These are discrete values ​​of the operating data of the wind turbine. This is the arithmetic mean of the operating data of the wind turbine.

[0008] The discrete distribution value of the wind turbine operating data was selected. delta The axial displacement data that meets the predetermined threshold includes at least one of the following: the discrete distribution values ​​of the impeller speed selected from the data. deltaAxial displacement data less than or equal to 0.1; filtering out discrete distribution values ​​of wind shear. delta Axial displacement data less than or equal to 0.24; filtering out discrete distribution values ​​of turbulence. delta Axial displacement data when less than or equal to 0.25; and the discrete distribution values ​​of wind speed selected. delta Axial displacement data when less than or equal to 0.5.

[0009] The step of determining the impeller balance based on the selected axial displacement data includes: performing filtering processing on the selected axial displacement data to filter out high-frequency noise signals relative to 3 times the impeller rotation frequency; and determining the impeller balance based on the filtered axial displacement data.

[0010] The step of determining the impeller balance based on the filtered axial displacement data includes: determining the peak value of the axial displacement data within a predetermined rotation cycle of the impeller based on the filtered axial displacement data; and determining the impeller imbalance based on the peak value of the axial displacement data within the predetermined rotation cycle of the impeller.

[0011] The step of determining the impeller imbalance based on the peak value of the axial displacement data within the predetermined rotation cycle of the impeller includes: determining the impeller imbalance based on the peak value of the axial displacement data within the predetermined rotation cycle of the impeller and the surface error of the measured end face of the moving shaft. delta Ra Determine the peak value of the actual axial displacement data within the predetermined rotation cycle of the impeller, and determine the impeller imbalance based on the peak value of the actual axial displacement data within the predetermined rotation cycle of the impeller. R ,in, , y ( theta () is relative to the rotation angle theta The function of the unevenness and fluctuation of the measured end face. , N This refers to the number of peak values ​​of the actual axial displacement data within a predetermined rotation cycle. A’ ti This represents the peak value of the actual axial displacement data of the impeller. This is the arithmetic mean of the peak values ​​of the actual axial displacement data of the impeller.

[0012] According to another aspect of this disclosure, a system for evaluating the balance of a wind turbine rotor is provided. The system includes: a displacement sensor disposed on the stator portion of the wind turbine for detecting axial displacement data of the moving shaft of the wind turbine during rotor rotation; and a controller configured to acquire the axial displacement data of the moving shaft of the wind turbine during rotor rotation, filter the axial displacement data based on the operating data of the wind turbine, and determine rotor balance based on the filtered axial displacement data.

[0013] The controller is configured to calculate discrete distribution values of the operating data of the wind turbine delta ; and screen the discrete distribution values of the operating data of the wind turbine delta axial displacement data meeting a predetermined threshold.

[0014] The controller is configured to screen the discrete distribution values of at least one of the following: the rotational speed of the impeller delta axial displacement data less than or equal to 0.1; the discrete distribution values of wind shear delta axial displacement data less than or equal to 0.24; the discrete distribution values of turbulence delta axial displacement data less than or equal to 0.25; and the discrete distribution values of wind speed delta axial displacement data less than or equal to 0.5.

[0015] The controller is configured to perform filtering processing on the screened axial displacement data to filter out high-frequency noise signals relative to 3 times the rotational frequency of the impeller; and determine the impeller balance according to the filtered axial displacement data.

[0016] The controller is configured to determine the peak value of the axial displacement data within a predetermined rotation period of the impeller according to the filtered axial displacement data; and determine the impeller imbalance degree according to the peak value of the axial displacement data within the predetermined rotation period of the impeller.

[0017] The controller is configured to determine the actual peak value of the axial displacement data within the predetermined rotation period of the impeller according to the peak value of the axial displacement data within the predetermined rotation period of the impeller and the surface error of the measured end surface of the dynamic shaft delta determine the impeller imbalance degree according to the actual peak value of the axial displacement data within the predetermined rotation period of the impeller R .

[0018] The stator part includes a stator shaft and an end cover arranged at the end surface of the stator shaft, and the displacement sensor is arranged outside the end cover to detect the axial displacement data of the axial end surface of the dynamic shaft.

[0019] According to an aspect of the present disclosure, a computer readable storage medium storing a computer program is provided, which, when executed by a processor, implements the evaluation method of the impeller balance of the wind turbine as described above.

[0020] According to an aspect of the present disclosure, a computer device is provided, which includes a processor and a memory storing a computer program, which, when executed by the processor, implements the evaluation method of the impeller balance of the wind turbine as described above.

[0021] According to an aspect of the present disclosure, a wind turbine generator set is provided, which includes the wind turbine generator set impeller balance evaluation system as described above.

[0022] The present disclosure measures the axial displacement change of the impeller rotating part and the fixed part, directly obtains the axial displacement change data under the load by a non-contact high-precision displacement sensor, the sensor is stationary and does not rotate, the data is high in precision and convenient to install. BRIEF DESCRIPTION OF DRAWINGS

[0023] The above and other aspects, features and advantages of the present disclosure will be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings, in which:

[0024] delta is a flow chart of the evaluation method of the wind turbine generator set impeller balance according to the embodiment;

[0025] delta is a curve diagram of the screened axial displacement data;

[0026] Figure 1 is a curve diagram of the filtered axial displacement data; and

[0027] Figure 2 is a schematic diagram of the displacement sensor arrangement for the wind turbine impeller balance detection. DETAILED DESCRIPTION

[0028] The following detailed description is provided to aid in understanding the method, apparatus and / or system described herein. However, various modifications, alterations, and / or equivalents can be implemented within the spirit and scope of the present disclosure, which are apparent to those skilled in the art from the disclosure. For example, the order of the operations described herein should not be construed as a strict sequence, and, except for operations that must occur in a specific order, alterations can be made in accordance with the disclosure after the disclosure is understood. Also, descriptions of features known in the art can be omitted for the sake of clarity and conciseness. In order for those skilled in the art to better understand the present disclosure, the following detailed description of the specific embodiments of the present disclosure will be made with reference to the accompanying drawings.

[0029] The present disclosure aims to evaluate the impeller balance based on the shafting displacement change, the shafting is a structural assembly that bears the main load of the impeller in the wind turbine generator set, which can include a movable shaft, a fixed shaft, a front bearing, a rear bearing, a shaft coupling and a gear box, etc. The displacement of the main shafting of the wind turbine generator set in the axial direction is small, and the measurement of the small displacement change has higher sensitivity to the impeller load imbalance, so by measuring the small change of the relative displacement of the shafting caused by the impeller imbalance, the peak change in the displacement curve period is reflected, and the blade imbalance evaluation can be indirectly completed without directly testing the deformation of the blade.

[0030] Shafting displacement: the amount of change in the relative position of the dynamic shaft and the static shaft of a single-row double-tapered roller bearing (TRB) shafting in the axial direction.

[0031] Impeller balance: the consistency of the stability, mass, and aerodynamic force of three blades during rotation.

[0032] Figure 3 is a flowchart of an evaluation method for the balance of an impeller of a wind turbine according to an embodiment.

[0033] Referring to Figure 4 , the evaluation method for the balance of an impeller of a wind turbine according to an embodiment of the disclosure includes the following steps:

[0034] In step 101, axial displacement data of a dynamic shaft of a wind turbine during rotation of an impeller is obtained. The wind turbine can be provided with a displacement sensor for detecting the axial displacement data of the dynamic shaft of the wind turbine during rotation of the impeller.

[0035] In step 102, the axial displacement data is filtered according to the operating data of the wind turbine. The fluctuation of the axial displacement data is related to the balance of the impeller, and the fluctuation of the instantaneous load during rotation of the impeller will also cause the fluctuation of the axial displacement data. Therefore, considering the influence of the change of wind load, the axial displacement data needs to be filtered according to the wind speed, wind shear, turbulence, and impeller speed, etc. in the operating data of the wind turbine.

[0036] In detail, the filtering step can include calculating the discrete distribution value of the operating data of the wind turbine Figure 1 . The discrete distribution value of the operating data of the wind turbine Figure 1 is determined according to the following formula:

[0037] (1)

[0038] wherein, delta is the data sampling rate, T 0 is the rotation period, x i is the discrete value of the operating data of the wind turbine, is the arithmetic mean value of the operating data of the wind turbine.

[0039] In order to reduce the influence caused by the fluctuation of the rotation speed r and the wind speed, etc., the axial displacement data of the wind turbine can be filtered according to the predetermined threshold of the discrete distribution value of the operating data delta . The axial displacement data of the wind turbine is filtered when the discrete distribution value of the operating data fs meets the predetermined threshold. The axial displacement data of the wind turbine is filtered when the discrete distribution value of the operating data deltaThe axial displacement data meeting the predetermined threshold value includes at least one of the following: screening out discrete distribution values of the impeller rotating speed delta The axial displacement data less than or equal to 0.1; screening out discrete distribution values of the wind shear delta The axial displacement data less than or equal to 0.24; screening out discrete distribution values of the turbulence delta The axial displacement data less than or equal to 0.25; and screening out discrete distribution values of the wind speed delta The axial displacement data less than or equal to 0.5. Optionally, the discrete distribution values of the wind shear delta The axial displacement data can be less than or equal to 0.12. The above-mentioned predetermined threshold value range indicates that the operating data such as the wind shear, the rotating speed, etc. does not change much.

[0040] At step 103, the impeller balance is determined according to the screened axial displacement data. In the ideal balance state, the fluctuation amplitudes of the axial displacement data of the three blades are balanced and consistent, and there is no obvious difference, and the fluctuation amplitudes corresponding to the rotation frequency P and the three times of the rotation frequency P (i.e., the 3P frequency) are also not obviously different. If there is a difference in blade load due to manufacturing or control reasons (aerodynamic, mass or stall, etc.), a difference in fluctuation amplitude will be generated, and the greater the difference in the curve fluctuation amplitude, the worse the impeller balance.

[0041] The evaluation method of the impeller balance of the wind turbine according to the embodiments can measure the displacement change of the rotating shaft and the fixed shaft during rotation through the displacement sensor between the rotating shaft and the fixed shaft, and simultaneously use the sensor data to evaluate the impeller balance on the basis of the existing sensor for evaluating the shafting gap change, without the need for additional test equipment.

[0042] Optionally, considering that there is background noise and high-frequency clutter in the waveform of the axial displacement data in the grid-connected state, in order to better extract the amplitude, the axial displacement data can be subjected to low-pass filtering processing here. According to the embodiments, the filtered axial displacement data can be subjected to filtering processing to filter out high-frequency noise signals relative to three times of the impeller rotating frequency, and then the impeller balance is determined according to the filtered axial displacement data. For example, when three times of the rotating frequency corresponds to 0.5 Hz, the lower threshold value of the filter can be 1.0 Hz.

[0043] delta is a curve diagram of the screened axial displacement data, delta is a curve diagram of the filtered axial displacement data. Referring to Figure 2 and Figure 3 , the difference between the amplitude characteristics curves of the axial displacement data before and after filtering is shown.

[0044] In addition, according to the embodiment, the axial displacement data peak value within the predetermined rotation period of the impeller can be determined according to the filtered axial displacement data, and the unbalance degree of the impeller can be determined according to the axial displacement data peak value within the predetermined rotation period of the impeller.

[0045] For example, the 3 axial displacement data peak values of the impeller within the predetermined rotation period and the surface error of the measured end face of the dynamic shaft Figure 2 The actual axial displacement data peak value within the predetermined rotation period of the impeller is determined as follows:

[0046] (2)

[0047] A i ’=A i Figure 3 (3)

[0048] wherein, y ( delta Ra ) is a function of the uneven fluctuation of the measured end face relative to the rotation angle delta Ra , and a single rotation period corresponds to 3 axial displacement data peak values A i ( i =1, 2, 3), thereby obtaining the actual axial displacement data peak value A i ’ .

[0049] For long-period testing, in order to eliminate randomness, the unbalance degree of the impeller can be determined according to the statistics of the actual axial displacement data peak values within the predetermined rotation period of the impeller R :

[0050] (4)

[0051] wherein, N is the number of actual axial displacement data peak values within the predetermined rotation period, A’ ti ( t =1, 2, 3) is the actual axial displacement data peak value of the impeller, is the arithmetic mean of the actual axial displacement data peak values of the impeller. R The closer the value is to 0, the better the state is, and vice versa, the more unbalanced the impeller is.

[0052] theta is a schematic diagram of a displacement sensor arrangement for detecting the balance degree of a fan impeller;

[0053] Referring to thetaAccording to the evaluation system for the impeller balance of a wind turbine generator set, the displacement sensor 5 and the controller (not shown) are provided.

[0054] The displacement sensor 5 is arranged on the stator part of the wind turbine generator set to detect the axial displacement data of the dynamic shaft 2 of the wind turbine generator set during the rotation of the impeller. The generator of the embodiment can be a direct drive type and the generator rotor is not shown. The stator part of the wind turbine generator set can include a stator shaft 3 and an end cover 4 arranged on the end face of the stator shaft 3. The displacement sensor 5 can be a high-precision displacement sensor. The displacement sensor 5 can be arranged on the end cover 4 of the stator part through a support. The displacement sensor 5 can be arranged on the outside of the end cover 4 to detect the axial displacement data of the axial end face of the dynamic shaft, for example, to detect the distance change of the axial end face of the dynamic shaft 2 relative to the end cover 4.

[0055] Three blades can be arranged on the impeller flange 1. The impeller drives the dynamic shaft 2 to rotate relative to the stator shaft 3 under the action of wind load. The wind load can also cause the dynamic shaft 2 to have a slight axial displacement relative to the stator shaft 3. Detecting such a slight displacement can correspond to the load change of each blade. For this purpose, the end face of the dynamic shaft 2 can be arranged as the measured surface of the displacement sensor 5. During one rotation period of the impeller T 0 The displacement sensor 5 can detect three displacement data peaks A i Therefore, the waveform change of the displacement data can be expressed as three times the rotation frequency, i.e., 3 P frequencies. P

[0056] The controller can be configured to obtain the axial displacement data of the dynamic shaft 2 of the wind turbine generator set during the rotation of the impeller, to screen the axial displacement data according to the operation data of the wind turbine generator set, and to determine the impeller balance according to the screened axial displacement data.

[0057] The controller can be further configured to calculate the discrete distribution value of the operation data of the wind turbine generator set Figure 4 , and to screen the axial displacement data when the discrete distribution value of the operation data of the wind turbine generator set Figure 4 satisfies a predetermined threshold.

[0058] The controller can be further configured to screen at least one of the following: the axial displacement data when the discrete distribution value of the rotation speed of the impeller delta is less than or equal to 0.1; the axial displacement data when the discrete distribution value of the wind shear delta is less than or equal to 0.24; the axial displacement data when the discrete distribution value of the turbulence delta is less than or equal to 0.25; and the axial displacement data when the discrete distribution value of the wind speed delta ​axial displacement data less than or equal to 0.5. Optionally, a discrete distribution value of wind shear delta a discrete distribution value of turbulence less than or equal to 0.12 delta less than or equal to 0.1.

[0059] The controller can be further configured to perform filtering processing on the screened axial displacement data to filter out high-frequency noise signals relative to 3 times the impeller rotation frequency; and determine the impeller balance according to the filtered axial displacement data.

[0060] The controller can be further configured to determine axial displacement data peaks within a predetermined rotation period of the impeller according to the filtered axial displacement data; and determine the impeller unbalance degree according to the axial displacement data peaks within the predetermined rotation period of the impeller.

[0061] The controller can be further configured to determine surface errors of the measured end surface of the dynamic shaft according to the axial displacement data peaks within the predetermined rotation period of the impeller and the discrete distribution value of wind shear delta delta delta determine the actual axial displacement data peaks within the predetermined rotation period of the impeller, and determine the impeller unbalance degree according to the actual axial displacement data peaks within the predetermined rotation period of the impeller R .

[0062] According to embodiments of the present disclosure, a computer readable storage medium storing a computer program is also provided. The computer readable storage medium stores a computer program which, when executed by a processor, causes the processor to perform the evaluation method of the impeller balance of the wind turbine according to the present disclosure. The computer readable storage medium is any data storage device that can store data which is readable by a computer system. Examples of the computer readable storage medium include a read-only memory, a random access memory, a read-only optical disc, a magnetic tape, a floppy disc, an optical data storage device, and a carrier wave such as data transmission over the Internet via a wired or wireless transmission path.

[0063] According to an aspect of the present disclosure, a computer device is also provided. The computer device includes a processor and a memory. The memory is configured to store a computer program. The computer program is executed by the processor to cause the processor to perform the evaluation method of the impeller balance of the wind turbine according to the present disclosure.

[0064] According to an aspect of the present disclosure, a wind turbine is also provided. The wind turbine includes the evaluation system of the impeller balance of the wind turbine as above.

[0065] Embodiments of the present disclosure can make an assessment of impeller balance while assessing shafting clearance. By measuring the displacement change of the rotating shaft and the stationary shaft during rotation with a displacement sensor between the rotating shaft and the stationary shaft, the sensor data is used to assess impeller balance simultaneously on top of the existing sensors for assessing shafting clearance change without the need for additional test equipment.

[0066] The foregoing detailed description of the specific embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or to limit the application to the precise form disclosed, and various modifications and variations are possible in light of the above teachings without departing from the spirit and scope of the application, which is defined by the claims and their equivalents.

Claims

1. A method of evaluating the balance of a wind turbine rotor, characterized in that, The evaluation method comprises: obtaining axial displacement data of a dynamic shaft of the wind turbine during rotation of an impeller; screening the axial displacement data according to at least one of operating data of the wind turbine, including impeller rotating speed, wind shear, turbulence and wind speed; and determining impeller balance according to the screened axial displacement data, wherein the shaft system of the wind turbine comprises a dynamic shaft and a static shaft, and the dynamic shaft is driven by the impeller to rotate relative to the static shaft.

2. The method of evaluating wind turbine rotor balancing according to claim 1, wherein, The step of screening the axial displacement data according to the operating data of the wind turbine comprises: Computing discrete distribution values of operational data of a wind turbine δ ; and discrete distribution values of the operating data of the wind turbine are screened δ axial displacement data when a predetermined threshold is met.

3. The evaluation method of impeller balance of a wind turbine according to claim 2, characterized in that, discrete distribution values of operational data of the wind turbine δ are determined according to the following formula: , fs is a data sampling rate, T 0 is a rotation period, x i is a discrete value of the operating data of the wind turbine, is an arithmetic mean value of the operating data of the wind turbine.

4. The method of evaluating wind turbine rotor balancing according to claim 3, wherein, The discrete distribution value of the operation data of the wind turbine generator is screened out δ The axial displacement data when the predetermined threshold is met includes at least one of: Screening out discrete distribution values of impeller rotation speed δ Axial displacement data less than or equal to 0.1; Screening out discrete distribution values of wind shear δ Axial displacement data less than or equal to 0.24; Screening out discrete distribution values of turbulent flow δ Axial displacement data less than or equal to 0.25; δ Screening out discrete distribution values of wind speed and Axial displacement data for when the value is less than or equal to 0.

5.

5. The method of evaluating wind turbine rotor balancing according to any one of claims 1 to 4, wherein, δ The step of determining impeller balance according to the screened axial displacement data comprises: performing filtering processing on the screened axial displacement data to filter out high-frequency noise signals relative to 3 times the impeller rotating frequency; and 6. The method of evaluating wind turbine rotor balancing according to claim 5, wherein, determining impeller balance according to the filtered axial displacement data. The step of determining impeller balance according to the screened axial displacement data comprises: determining axial displacement data peaks within a predetermined rotating period of the impeller according to the filtered axial displacement data; and 7. The method of evaluating wind turbine rotor balancing according to claim 6, wherein, determining impeller unbalance degree according to the axial displacement data peaks within the predetermined rotating period of the impeller. determining a peak value of actual axial displacement data of the impeller within a predetermined rotation period of the impeller The step of determining impeller unbalance degree according to the axial displacement data peaks within the predetermined rotating period of the impeller comprises: determining a peak value of actual axial displacement data of the impeller within a predetermined rotation period of the impeller Determining impeller unbalance degree according to peak value of actual axial displacement data within predetermined rotation period of impeller R , wherein , y ΔRa is a function of the measured end face unevenness with respect to the rotation angle θ ,​ , N the number of actual axial displacement data peaks within a predetermined rotation period, A’ ti the number of impeller actual axial displacement data peaks, the arithmetic mean of the number of impeller actual axial displacement data peaks.

8. A system for evaluating the balance of a wind turbine rotor, characterized by: θ The evaluation system comprises: a displacement sensor arranged on a stator part of the wind turbine, configured to detect axial displacement data of a dynamic shaft of the wind turbine during rotation of an impeller; a controller configured to obtain axial displacement data of a dynamic shaft of the wind turbine during rotation of an impeller, screen the axial displacement data according to at least one of operating data of the wind turbine, including impeller rotating speed, wind shear, turbulence and wind speed, and determine impeller balance according to the screened axial displacement data, 9. The system for evaluating wind turbine rotor balancing according to claim 8, wherein, The controller is configured to calculate a discrete distribution value of operational data of the wind turbine wherein in the shaft system of the wind turbine, the dynamic shaft is driven by the impeller to rotate relative to the static shaft. ; and to select the discrete distribution value of operational data of the wind turbine δ axial displacement data meeting a predetermined threshold.

10. The system for evaluating wind turbine rotor balancing according to claim 9, wherein, δ Screening out discrete distribution values of impeller rotation speed The controller is configured to screen according to at least one of: Axial displacement data less than or equal to 0.1; Screening out discrete distribution values of wind shear δ Axial displacement data less than or equal to 0.24; Screening out discrete distribution values of turbulent flow δ Axial displacement data less than or equal to 0.25; δ Screening out discrete distribution values of wind speed and Axial displacement data for when the value is less than or equal to 0.

5.

11. The wind turbine rotor balancing evaluation system according to any of claims 8 to 10, wherein, δ 12. The system for evaluating wind turbine rotor balancing according to claim 11, wherein, The controller is configured to perform filtering processing on the screened axial displacement data to filter out high-frequency noise signals relative to 3 times the impeller rotating frequency, and determine impeller balance according to the filtered axial displacement data.

13. The system for evaluating wind turbine rotor balancing according to claim 12, wherein, The controller is configured to determine the actual peak axial displacement data within the predetermined rotation period of the impeller, and determine the impeller unbalance degree according to the actual peak axial displacement data within the predetermined rotation period of the impeller The controller is configured to determine axial displacement data peaks within a predetermined rotating period of the impeller according to the filtered axial displacement data, and determine impeller unbalance degree according to the axial displacement data peaks within the predetermined rotating period of the impeller. determine the actual peak axial displacement data within the predetermined rotation period of the impeller, and determine the impeller unbalance degree according to the actual peak axial displacement data within the predetermined rotation period of the impeller R .

14. The system for evaluating wind turbine rotor balancing according to claim 8, wherein, ΔRa 15. A computer readable storage medium storing a computer program, characterized in that, The stator part comprises a static shaft and an end cover arranged at an end face of the static shaft, and the displacement sensor is arranged outside the end cover to detect axial displacement data of an axial end face of the dynamic shaft.

16. A computer device, comprising: The computer program realizes the evaluation method of impeller balance of a wind turbine as claimed in any one of claims 1 to 7 when executed by a processor. The computer device comprises: a processor; A memory, which stores a computer program, when the computer program is executed by a processor, implements the wind turbine impeller balance evaluation method as claimed in any one of claims 1 to 7.

17. A wind power unit, characterized in that The wind turbine includes the wind turbine impeller balance evaluation system as claimed in any one of claims 8 to 14.

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