A method and device for predicting fatigue life of wind turbine blades
By simulating the blade fatigue test of wind turbine units with different wind speeds and positions on the test platform, combining vibration sensors and friction coefficient detection, the accumulated damage method is used to calculate the blade fatigue life, and the problem of cumbersome and inaccurate prediction of blade fatigue life in the existing technology is solved. , achieving high accuracy and low cost prediction results.
Patent Information
- Application Number
- CN202211292093.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-10-20
- Publication Date
- 2024-12-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The calculation process of the existing wind turbine blade fatigue life prediction method is cumbersome, the test cycle is long, the accuracy is poor, and it is difficult to accurately predict the fatigue life of the blade.
A method for predicting the fatigue life of the wind turbine blades is adopted. By assembling the wind turbine and blades on the test platform, using front and rear position adjustment devices and adjustable wind speed test hair dryers to simulate fatigue tests at different wind speeds and positions, combining vibration sensors and friction coefficient detection , the fatigue life of the blade is calculated by cumulative damage method.
It realizes accurate prediction of the fatigue life of the wind turbine blade, simplifies the testing process, improves the accuracy of the prediction results, shortens the prediction cycle, reduces the cost, and is suitable for industrial promotion.
Smart Images

Figure CN115493830B_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of wind turbines, and in particular relates to a method and a device for predicting the fatigue life of blades of a wind turbine. Background Art
[0002] Blade fatigue refers to a form of blade failure in which damage accumulates continuously and performance decreases continuously under the action of alternating loads until the blade can no longer withstand the external load and breaks. Damage is an important variable in describing the blade fatigue process, and its determination is the key to calculating the fatigue life of the material.
[0003] Existing wind turbines are large-scale equipment that effectively converts wind energy into electrical energy. As important structural components of wind turbines, blades are in a very harsh working environment and are subjected to complex random amplitude loads. They are prone to fatigue damage, which can cause the wind rotor and even the entire wind turbine to fail and shut down. Wind turbine blades are the most important components of wind turbines, so it is necessary to predict the fatigue life of blades. However, the calculation process of existing blade fatigue life prediction methods is relatively cumbersome, the test cycle is long, and the accuracy is also poor.
[0004] The above information disclosed in the Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may include information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention
[0005] In order to solve the technical problems existing in the prior art, the object of the present invention is to provide a method and device for predicting the fatigue life of a blade of a wind turbine generator set.
[0006] In order to achieve the above purpose and the above technical effect, the technical solution adopted by the present invention is:
[0007] A method for predicting the fatigue life of a wind turbine blade comprises the following steps:
[0008] S1. Manufacturing a wind turbine generator set and a wind turbine generator set blade for testing according to the proportions, and then assembling the wind turbine generator set and the wind turbine generator set blades;
[0009] S2. Install the assembled wind turbine and wind turbine blades on the front and rear position adjustment device, then fix the front and rear position adjustment device on the test platform, then install the vibration sensor on the wind turbine, and finally aim the adjustable wind speed test blower at the wind turbine and install it on the test platform;
[0010] S3. The adjustable wind speed test blower is started, and blows air towards the wind turbine and the wind turbine blades. The vibration intensity of the wind turbine is sensed by the vibration sensor and the data is recorded. During the test, the position of the wind turbine and the wind turbine blades is freely adjusted by the front and rear position adjustment devices. The adjustable wind speed test blower is used to simulate the fatigue life test of the wind turbine blades at different wind speeds, and multiple fatigue life tests at different positions and wind speeds are achieved.
[0011] S4. Testing the friction coefficient of the wind turbine blades by using a friction coefficient tester and recording the data;
[0012] S5. After the data recording is completed, steps S3 and S4 are repeated again to obtain multiple sets of data. Then, the damage to the wind turbine blades is calculated by the cumulative damage method. After the calculation is completed, the fatigue life data of the wind turbine blades is obtained to realize the fatigue life prediction of the wind turbine blades.
[0013] In step S2, the front-rear position adjustment device is fixed on the test platform via a support frame 1.
[0014] In step S2, the assembled wind turbine set and wind turbine set blades are installed on a front and rear position adjustment device through a support frame 2, and the front and rear position adjustment device includes a threaded rod, a driving motor and a supporting movable rod. The motor shaft of the driving motor is connected to the threaded rod, and the threaded rod is provided with an external thread. The assembled wind turbine set and wind turbine set blades are arranged on the supporting movable rod, and the supporting movable rod is installed on the threaded rod through a sliding block. The threaded rod is driven to rotate by the driving motor, and the sliding block reciprocates along the threaded rod and drives the assembled wind turbine set and wind turbine set blades thereon to achieve position changes.
[0015] In step S3, the adjustable wind speed test hair dryer is connected to a controller, and the opening and closing of the adjustable wind speed test hair dryer is controlled by the controller.
[0016] A wind turbine blade fatigue life prediction device comprises a front and rear position adjustment device, the front and rear position adjustment device is fixedly mounted on a test platform, an assembled wind turbine and wind turbine blades are arranged on the front and rear position adjustment device, a vibration sensor is mounted on the wind turbine, an adjustable wind speed test blower is arranged on the test platform, the adjustable wind speed test blower is aimed at the wind turbine, the adjustable wind speed test blower is connected to a controller, and the opening and closing of the adjustable wind speed test blower is controlled by the controller.
[0017] The test platform is provided with a support frame 1, and the support frame 1 is provided with a front and rear position adjustment device.
[0018] A second support frame is arranged on the front-rear position adjustment device, and an assembled wind turbine set and wind turbine set blades are arranged on the second support frame.
[0019] The front and rear position adjustment device includes a threaded rod, a driving motor and a supporting movable rod. The motor shaft of the driving motor is connected to the threaded rod. The threaded rod is provided with an external thread. The assembled wind turbine set and the wind turbine set blades are arranged on the supporting movable rod. The supporting movable rod is installed on the threaded rod through a sliding block. The threaded rod is driven to rotate by the driving motor, and the sliding block reciprocates along the threaded rod and drives the assembled wind turbine set and the wind turbine set blades thereon to achieve position changes.
[0020] Compared with the prior art, the present invention has the following beneficial effects:
[0021] The present invention discloses a method and device for predicting the fatigue life of wind turbine blades. The method and device have the advantages of being able to predict the fatigue life of wind turbine blades and improving the accuracy of prediction results. The prediction method is simple and feasible. The positions of the wind turbine and the wind turbine blades can be freely adjusted by arranging front and rear position adjustment devices. The fatigue life test of the wind turbine blades under different wind speeds can be simulated by arranging an adjustable wind speed test blower. Multiple fatigue life tests at different positions and different wind speeds can be achieved. The prediction results are more accurate, the overall structural stability is good, the prediction cycle is short, the cost is low, and the method is suitable for industrial promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION
[0023] The present invention is described in detail below so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present invention.
[0024] A brief summary of one or more aspects is given below to provide a basic understanding of these aspects. This summary is not an exhaustive overview of all conceived aspects, and is neither intended to identify the key or critical elements of all aspects nor to define the scope of any or all aspects. Its only purpose is to give some concepts of one or more aspects in a simplified form as a prelude to a more detailed description that will be given later.
[0025] like Figure 1 As shown, a method for predicting the fatigue life of a wind turbine blade comprises the following steps:
[0026] S1. First, prepare the tools required for the test, make the wind turbine 3 and the wind turbine blades for the test according to the proportions, and then assemble the wind turbine 3 and the wind turbine blades;
[0027] S2, install the assembled wind turbine 3 on the front and rear position adjustment device 2, then fix the front and rear position adjustment device 2 on the test platform 1, then install the vibration sensor 4 on the wind turbine 3, and finally aim the adjustable wind speed test blower 5 at the wind turbine 3 and install it on the test platform 1. By setting the adjustable wind speed test blower 5, the fatigue life test of the wind turbine blades under different wind speeds can be simulated;
[0028] S3, turning on the adjustable wind speed test blower 5 through the controller, the adjustable wind speed test blower 5 is started, and blows air toward the wind turbine 3 and the wind turbine blades. The positions of the wind turbine 3 and the wind turbine blades can be freely adjusted through the front and rear position adjustment device 2, so as to realize multiple fatigue life tests at different positions and improve the test accuracy;
[0029] During the test, the vibration sensor 4 senses the vibration intensity of the wind turbine 3 and records the test data through a recording pen and a data record book;
[0030] S4. Test the friction coefficient of the wind turbine blades using a friction coefficient tester, and then record the test data using a recording pen and a data record book;
[0031] S5. After the data recording is completed, step S3 and step S4 are repeated again to record the data obtained again. This is repeated to obtain multiple sets of data. The damage to the wind turbine blades is then calculated using the cumulative damage method. After the calculation is completed, the fatigue life data of the blades is obtained, and the fatigue life of the blades can be predicted.
[0032] A wind turbine blade fatigue life prediction device adopts the above wind turbine blade fatigue life prediction method to predict fatigue life. The device specifically comprises a test platform 1 and a front and rear position adjustment device 2. The front and rear position adjustment device 2 is fixedly mounted on the test platform 1. The front and rear position adjustment device 2 is provided with an assembled wind turbine 3 and wind turbine blades. A vibration sensor 4 is installed on the wind turbine 3. The test platform 1 is also provided with an adjustable wind speed test blower 5. The adjustable wind speed test blower 5 is set to face the wind turbine 3. The adjustable wind speed test blower 5 is connected to a controller. The opening and closing of the adjustable wind speed test blower 5 is controlled by the controller.
[0033] The front and rear position adjustment device 2 includes a threaded rod 21, a driving motor and a supporting movable rod 22. The threaded rod 21 can only rotate but cannot move. The assembled wind turbine 3 and the wind turbine blades are arranged on the supporting movable rod 22. The supporting movable rod 22 is installed on the threaded rod 21 through a sliding block 23. The threaded rod 21 is provided with an external thread that matches the internal thread on the sliding block 23. The motor shaft of the driving motor is connected to the threaded rod 21. The threaded rod 21 is driven to rotate by the driving motor. The sliding block 23 reciprocates along the threaded rod 21 and drives the assembled wind turbine 3 and the wind turbine blades thereon to achieve position changes.
[0034] Example 1
[0035] like Figure 1 As shown, a method for predicting the fatigue life of a wind turbine blade comprises the following steps:
[0036] S1. First, prepare the tools required for the test, make the wind turbine 3 and the wind turbine blades for the test according to the proportions, and then assemble the wind turbine 3 and the wind turbine blades;
[0037] S2. Install the assembled wind turbine 3 on the front and rear position adjustment device 2, and then fix the front and rear position adjustment device 2 on the test platform 1 through the support frame 6. The stability of the front and rear position adjustment device 2 during the test is increased by setting the support frame 6, and the test accuracy is improved. Then install the vibration sensor 4 on the wind turbine 3, and finally aim the adjustable wind speed test blower 5 at the wind turbine 3 and install it on the test platform 1. By setting the adjustable wind speed test blower 5, the fatigue life test of the wind turbine blades under different wind speeds can be simulated;
[0038] S3, turning on the adjustable wind speed test blower 5 through the controller, the adjustable wind speed test blower 5 is started, and blows air toward the wind turbine 3 and the wind turbine blades. The positions of the wind turbine 3 and the wind turbine blades can be freely adjusted through the front and rear position adjustment device 2, so as to realize multiple fatigue life tests at different positions and improve the test accuracy;
[0039] During the test, the vibration sensor 4 senses the vibration intensity of the wind turbine 3 and records the test data through a recording pen and a data record book;
[0040] S4. Test the friction coefficient of the wind turbine blades using a friction coefficient tester, and then record the test data using a recording pen and a data record book;
[0041] S5. After the data recording is completed, step S3 and step S4 are repeated again to record the data obtained again. This is repeated to obtain multiple sets of data. The damage to the wind turbine blades is then calculated using the cumulative damage method. After the calculation is completed, the fatigue life data of the blades is obtained, and the fatigue life of the blades can be predicted.
[0042] Example 2
[0043] like Figure 1 As shown, a method for predicting the fatigue life of a wind turbine blade comprises the following steps:
[0044] S1. First, prepare the tools required for the test, make the wind turbine 3 and the wind turbine blades for the test according to the proportions, and then assemble the wind turbine 3 and the wind turbine blades;
[0045] S2. Install the assembled wind turbine 3 on the front and rear position adjustment device 2 through the support frame 2 7. The support frame 2 7 is used to increase the stability of the wind turbine 3 during the test and improve the test accuracy. Then, the front and rear position adjustment device 2 is fixedly installed on the test platform 1 through the support frame 1 6. The support frame 1 6 is used to increase the stability of the front and rear position adjustment device 2 during the test and improve the test accuracy. Then, the vibration sensor 4 is installed on the wind turbine 3. Finally, the adjustable wind speed test blower 5 is aligned with the wind turbine 3 and installed on the test platform 1. The adjustable wind speed test blower 5 can be used to simulate the fatigue life test of the wind turbine blades under different wind speeds.
[0046] S3, turning on the adjustable wind speed test blower 5 through the controller, the adjustable wind speed test blower 5 is started, and blows air toward the wind turbine 3 and the wind turbine blades. The positions of the wind turbine 3 and the wind turbine blades can be freely adjusted through the front and rear position adjustment device 2, so as to realize multiple fatigue life tests at different positions and improve the test accuracy;
[0047] During the test, the vibration sensor 4 senses the vibration intensity of the wind turbine 3 and records the test data through a recording pen and a data record book;
[0048] S4. Test the friction coefficient of the wind turbine blades using a friction coefficient tester, and then record the test data using a recording pen and a data record book;
[0049] S5. After the data recording is completed, step S3 and step S4 are repeated again to record the data obtained again. This is repeated to obtain multiple sets of data. The damage to the wind turbine blades is then calculated using the cumulative damage method. After the calculation is completed, the fatigue life data of the blades is obtained, and the fatigue life of the blades can be predicted.
[0050] The rest is the same as in Example 1.
[0051] Parts or structures not specifically described in the present invention may adopt existing technologies or existing products and will not be described in detail here.
[0052] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.
Claims
1. A method for predicting fatigue life of wind turbine blades, characterized in that: The following steps are involved: S1. Manufacturing a wind turbine generator set and a wind turbine generator set blade for testing according to the proportions, and then assembling the wind turbine generator set and the wind turbine generator set blades; S2. Install the assembled wind turbine and wind turbine blades on the front and rear position adjustment device, then fix the front and rear position adjustment device on the test platform, then install the vibration sensor on the wind turbine, and finally aim the adjustable wind speed test blower at the wind turbine and install it on the test platform; S3. The adjustable wind speed test blower is started, and blows air towards the wind turbine and the wind turbine blades. The vibration intensity of the wind turbine is sensed by the vibration sensor and the data is recorded. During the test, the position of the wind turbine and the wind turbine blades is freely adjusted by the front and rear position adjustment devices. The adjustable wind speed test blower is used to simulate the fatigue life test of the wind turbine blades at different wind speeds, and multiple fatigue life tests at different positions and wind speeds are achieved. S4. Testing the friction coefficient of the wind turbine blades by using a friction coefficient tester and recording the data; S5. After the data recording is completed, steps S3 and S4 are repeated again to obtain multiple sets of data. Then, the damage to the wind turbine blades is calculated by the cumulative damage method. After the calculation is completed, the fatigue life data of the wind turbine blades is obtained to realize the fatigue life prediction of the wind turbine blades.
2. A method for predicting fatigue life of wind turbine blades according to claim 1, characterized in that: In step S2, the front-rear position adjustment device is fixed on the test platform via a support frame 1.
3. A method for predicting fatigue life of wind turbine blades according to claim 1, characterized in that: In step S2, the assembled wind turbine generator set and wind turbine generator set blades are installed on the front and rear position adjustment device through a second support frame.
4. A method for predicting fatigue life of wind turbine blades according to claim 3, characterized in that: The front and rear position adjustment device includes a threaded rod, a driving motor and a supporting movable rod. The motor shaft of the driving motor is connected to the threaded rod. The threaded rod is provided with an external thread. The assembled wind turbine set and the wind turbine set blades are arranged on the supporting movable rod. The supporting movable rod is installed on the threaded rod through a sliding block. The threaded rod is driven to rotate by the driving motor, and the sliding block reciprocates along the threaded rod and drives the assembled wind turbine set and the wind turbine set blades thereon to achieve position changes.
5. A method for predicting fatigue life of wind turbine blades according to claim 1, characterized in that: In step S3, the adjustable wind speed test hair dryer is connected to a controller, and the opening and closing of the adjustable wind speed test hair dryer is controlled by the controller.
6. A wind turbine blade fatigue life prediction device, characterized in that: A wind turbine blade fatigue life prediction method as described in any one of claims 1 to 5 is used for prediction, the device includes a front and rear position adjustment device, the front and rear position adjustment device is fixedly installed on a test platform, the front and rear position adjustment device is provided with an assembled wind turbine and wind turbine blades, the wind turbine is installed with a vibration sensor, an adjustable wind speed test blower is provided on the test platform, the adjustable wind speed test blower is set to face the wind turbine, the adjustable wind speed test blower is connected to a controller, and the opening and closing of the adjustable wind speed test blower is controlled by the controller.
7. A wind turbine blade fatigue life prediction device according to claim 6, characterized in that: The test platform is provided with a support frame 1, and the support frame 1 is provided with a front and rear position adjustment device.
8. A wind turbine blade fatigue life prediction device according to claim 6, characterized in that: A second support frame is arranged on the front-rear position adjustment device, and an assembled wind turbine set and wind turbine set blades are arranged on the second support frame.
9. A wind turbine blade fatigue life prediction device according to claim 6, characterized in that: The front and rear position adjustment device includes a threaded rod, a driving motor and a supporting movable rod. The motor shaft of the driving motor is connected to the threaded rod. The threaded rod is provided with an external thread. The assembled wind turbine set and the wind turbine set blades are arranged on the supporting movable rod. The supporting movable rod is installed on the threaded rod through a sliding block. The threaded rod is driven to rotate by the driving motor, and the sliding block reciprocates along the threaded rod and drives the assembled wind turbine set and the wind turbine set blades thereon to achieve position changes.
Citation Information
Patent Citations
Wind turbine generator blade fatigue life prediction method and device
CN112115626A
Wind turbine generator blade fatigue life prediction device and method
CN113821890A
Wind turbine generator fatigue damage and life evaluation method, computer equipment and storage medium
CN113821979A
Wind Farm or Control Method of Wind Farm
US20180058426A1
Method for quickly predicting fatigue life of wrinkle defect-containing main spar in wind turbine blade
US20220195991A1
