A method, device, and storage medium for determining damage to a pitch bearing cup

Abstract

The application discloses a kind of variable pitch bearing ring damage determination method, device, equipment and storage medium, applied to damage determination field, the method is by, after the pre-tightening force is applied to the blade root and hub side bolt of each blade, respectively separately applied to each blade overturning moment, obtain the stress response data corresponding to each overturning moment, according to each stress response data and the final overturning moment time sequence signal channel data obtained Calculation, obtain stress time sequence data, the damage contribution caused by blade in surrounding bearing structure is calculated, improve the accuracy of calculation result, and realize the accurate capture of all working condition damage contribution, facilitate to carry out load reduction optimization for specific working condition, improve the precision and calculation efficiency of variable pitch bearing ring bolt hole fatigue damage calculation method.

Description

A method, apparatus, equipment, and storage medium for determining damage to pitch bearing raceways. Technical Field

[0001] This invention relates to the field of damage measurement, and in particular to a method, apparatus, equipment and storage medium for determining damage to pitch bearing races. Background Technology

[0002] In wind turbine generators, independent pitch technology adjusts the blade pitch angle to maximize wind energy capture and control power output. Pitch bearings are a crucial component for achieving this function, typically bolted between the blades and hub, allowing the blades to rotate around the axis. However, due to the complex alternating loads they bear, they are prone to fatigue fracture failure of the pitch bearing race bolt holes, resulting in significant economic losses for wind turbine generators. Therefore, it is necessary to develop a comprehensive method for calculating fatigue damage to the bolt holes of pitch bearing races to predict and prevent such problems.

[0003] In existing technologies, the load spectrum is generally processed using the rainflow technique to transform it into a load Markov matrix. This process loses its correspondence with the actual working conditions and is not conducive to load reduction optimization for specific working conditions. In addition, when obtaining the load-response relationship, only the blade structure directly connected to the pitch bearing is considered, without considering the damage contribution caused by the blade in the surrounding load-bearing structure. As a result, the calculated damage results contain errors. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method, apparatus, device and storage medium for determining the damage of pitch bearing races, which solves the problem that the existing technology only considers the blade structure directly connected to the pitch bearing and does not consider the damage contribution caused by the blades in the surrounding load-bearing structure, resulting in errors in the calculated damage results.

[0005] To solve the above-mentioned technical problems, the present invention provides a method for determining damage to pitch bearing races, comprising:

[0006] After applying preload to the bolts at the blade root and hub side of each blade, an overturning moment is applied to each blade individually to obtain stress response data corresponding to each overturning moment;

[0007] The stress time series data is obtained by calculating based on the stress response data and the acquired final overturning moment time series signal channel data; the final overturning moment time series signal channel data represents the loads that need to be calculated at the same time.

[0008] Obtain the duration distribution data corresponding to the final overturning moment timing signal channel data;

[0009] The stress amplitude, average stress, and number of occurrences of the bearing ring bolt holes corresponding to the stress time series data are obtained as bearing ring extraction data;

[0010] The final damage data is obtained by calculating based on the data extracted from the bearing rings, the SN curve, and the time distribution data; the SN curve is the relationship curve between stress and the number of cycles that can be withstood.

[0011] Optionally, the step of calculating stress time-series data based on each of the stress response data and the acquired overturning moment time-series signal channel data includes:

[0012] Based on the acquired load timing sequence, extract the overturning moment timing signal channel data for each blade;

[0013] The overturning moment timing signal channel data is processed by working condition segmentation to obtain comprehensive overturning moment timing signal channel data;

[0014] A bolt preload channel is added to the overturning moment in the comprehensive overturning moment timing signal channel data to serve as the final overturning moment timing signal channel data.

[0015] The stress timing data is obtained by calculating based on the stress response data and the final overturning moment timing signal channel data.

[0016] Optionally, the step of calculating the stress time series data based on the stress response data and the final overturning moment time series signal channel data includes:

[0017] The stress response data and the final overturning moment time-series signal channel data are calculated using the linear assumption and the quasi-static superposition principle to obtain the stress time-series data.

[0018] Optionally, after applying preload to the bolts at the blade root and hub side of each blade, an overturning moment is applied individually to each blade to obtain stress response data corresponding to each overturning moment, including:

[0019] After the preload is applied to the root and hub bolts of each blade, the overturning moment is applied separately, and the circumferential stress components in each cylindrical coordinate system are selected as the stress response data for each blade.

[0020] Optionally, before calculating the final damage data based on the data extracted from the bearing rings, the SN curve, and the time distribution data, the method further includes:

[0021] The SN curve is corrected using input material data and correction information data; the input material data includes tensile strength and yield strength, and the correction information data includes whether it is a test value, whether stress concentration exists, loading mode, surface roughness, quality grade, testing method, size and thickness, and material safety factor.

[0022] Optionally, the step of calculating the final damage data based on the data extracted from the bearing rings, the SN curve, and the time distribution data includes:

[0023] Damage data for each operating condition is obtained by calculating based on the data extracted from the bearing rings and the SN curve.

[0024] The damage data for the entire cycle is obtained by cumulatively calculating the damage data under each working condition and the duration distribution data.

[0025] The largest damage value in the damage data of the entire cycle is selected as the final damage data.

[0026] Optionally, before obtaining the stress amplitude, average stress, and occurrence frequency of the bearing ring bolt holes corresponding to the stress time series data as the bearing ring extraction data, the method further includes:

[0027] The stress time series data is corrected to obtain corrected stress time series data;

[0028] Accordingly, the stress amplitude, average stress, and occurrence frequency of the bearing ring bolt holes corresponding to the obtained stress time series data are used as bearing ring extraction data, including:

[0029] The stress amplitude, average stress, and number of occurrences of the bearing race bolt holes corresponding to the corrected stress time series data are obtained as the bearing race extracted data.

[0030] The present invention also provides a device for determining damage to pitch bearing races, comprising:

[0031] The stress response data acquisition module is used to apply a preload to the bolts at the blade root and hub side of each blade, and then apply an overturning moment to each blade individually to obtain stress response data corresponding to each overturning moment.

[0032] The stress time series data acquisition module is used to calculate stress time series data based on the stress response data and the acquired final overturning moment time series signal channel data; the final overturning moment time series signal channel data is the load that needs to be calculated at the same time.

[0033] The duration distribution data acquisition module is used to acquire the duration distribution data corresponding to the final overturning moment timing signal channel data;

[0034] The bearing race extraction data acquisition module is used to acquire the stress amplitude, average stress, and occurrence frequency of the bearing race bolt holes corresponding to the stress time series data, as bearing race extraction data;

[0035] The final damage data calculation module is used to calculate the final damage data based on the data extracted from the bearing rings, the SN curve, and the time distribution data; the SN curve is the relationship curve between stress and the number of cycles that can be withstood.

[0036] The present invention also provides a device for determining damage to pitch bearing races, comprising:

[0037] Memory, used to store computer programs;

[0038] A processor is used to execute the computer program to implement the steps of the above-described method for determining the damage of pitch bearing races.

[0039] The present invention also provides a storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the above-described method for determining the damage of pitch bearing races.

[0040] As can be seen, the present invention provides a method for determining damage to pitch bearing races, which includes applying preload to the bolts at the blade root and hub side of each blade, then applying an overturning moment to each blade individually to obtain stress response data corresponding to each overturning moment. Based on the stress response data and the acquired final overturning moment time-series signal channel data, stress time-series data is calculated, where the final overturning moment time-series signal channel data represents the loads to be calculated at the same time. The duration distribution data corresponding to the final overturning moment time-series signal channel is obtained, along with the stress amplitude, average stress, and occurrence frequency of the bearing race bolt holes corresponding to the stress time-series data. This is used as bearing race extraction data. Based on the bearing race extraction data, the SN curve, and the duration distribution data, the final damage data is calculated, where the SN curve is the relationship between stress and the number of withstandable cycles. This invention applies a preload to the bolts at the blade root and hub side of each blade, then applies an overturning moment to each blade individually, obtaining stress response data corresponding to each overturning moment. Based on this stress response data and the acquired final overturning moment timing signal channel data, stress timing data is calculated, incorporating the damage contribution caused by the blade in the surrounding load-bearing structure. This improves the accuracy of the calculation results and accurately captures damage contributions under all operating conditions, facilitating load reduction optimization for specific conditions. This also improves the accuracy and efficiency of the fatigue damage calculation method for pitch bearing race bolt holes.

[0041] In addition, the present invention also provides a device, equipment and storage medium for determining damage to pitch bearing races, which also have the above-mentioned beneficial effects. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0043] Figure 1 is a flowchart of a method for determining damage to pitch bearing races according to an embodiment of the present invention;

[0044] Figure 2 is a flowchart of the calculation of stress timing data in a method for determining damage to pitch bearing races provided in an embodiment of the present invention.

[0045] Figure 3 is an example diagram showing the correspondence between bolt holes and damage values ​​in a pitch bearing race provided by an embodiment of the present invention.

[0046] Figure 4 is a schematic diagram of a pitch bearing ring damage determination device provided in an embodiment of the present invention.

[0047] Figure 5 is a schematic diagram of a device for determining the damage of a pitch bearing race provided in an embodiment of the present invention. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Please refer to Figure 1, which is a flowchart of a method for determining damage to pitch bearing races according to an embodiment of the present invention. The method may include:

[0050] S101: After applying preload to the bolts at the blade root and hub side of each blade, apply an overturning moment to each blade individually to obtain stress response data corresponding to each overturning moment.

[0051] The execution entity in this embodiment is a processor. In this embodiment, a finite element model of the blade-bearing-hub is established using finite element analysis software. After applying preload to the blade root and hub-side bolts of each blade, an overturning moment is applied individually to each blade. The overturning moment includes two sets of mutually perpendicular moments, each set consisting of two positive and two negative moments, and the blade is perpendicular to the plane containing the overturning moment. For ease of understanding, this embodiment provides examples of the stress response data corresponding to each overturning moment:

[0052] Set the overturning moment to positive or negative M. x and positive and negative M y Four overturning moments were obtained, and these moments were divided into four groups, each acting on one blade individually. In a typical wind turbine component with three blades, 12 sets of data were obtained. Adding data where no overturning moment acted on any blade, a total of 13 sets of data were obtained. The stress response data corresponding to these 13 sets of data were then obtained. It should be noted that the stress response data corresponding to each overturning moment obtained in this embodiment are the data after removing bolt preload; that is, the data corresponding to each overturning moment and stress response.

[0053] This embodiment does not limit the specific calculation method for extracting stress response data corresponding to the overturning moment from the finite element model, as long as representative stress response data corresponding to the overturning moment can be extracted. For example, the maximum principal stress corresponding to the overturning moment can be used as the stress response data, or the circumferential stress component corresponding to the overturning moment can be used as the stress response data. In this embodiment, the circumferential stress component is one of the six stress state components pointing towards the center of the blade.

[0054] Furthermore, to make the results of pitch bearing ring damage more conservative, after applying preload to the bolts at the blade root and hub side of each blade, an overturning moment is applied individually to each blade to obtain stress response data corresponding to each overturning moment. This can include:

[0055] After applying preload to the bolts at the blade root and hub side of each blade, an overturning moment is applied separately, and the circumferential stress components in the cylindrical coordinate system of each result are selected as the stress response data for each.

[0056] It should be noted that in this embodiment, the circumferential stress component is one of the six stress state components pointing towards the center of the blade. Using the circumferential stress component as the data for each stress response results in a larger value for the pitch bearing race, making the results more conservative.

[0057] S102: Calculate the stress timing data based on the various stress response data and the acquired final overturning moment timing signal channel data.

[0058] In this embodiment, the final overturning moment timing signal channel data is the load that needs to be calculated at the same time, namely the overturning moment mentioned above. One overturning moment corresponds to one load.

[0059] Furthermore, in order to separate the overturning moment timing signal channel data from the stress response data and add the bolt preload torque, the above calculation based on each stress response data and the acquired final overturning moment timing signal channel data to obtain stress timing data may include the following steps. Please refer to Figure 2 for details. Figure 2 is a flowchart of the calculation of stress timing data in a method for determining damage to pitch bearing races provided by an embodiment of the present invention.

[0060] S201: Based on the acquired load timing sequence, extract the overturning moment timing signal channel data for each blade.

[0061] It should be noted that in this embodiment, the load timing is maintained as a multiple of the load corresponding to the overturning moment.

[0062] S202: Perform condition segmentation processing on the overturning moment timing signal channel data to obtain comprehensive overturning moment timing signal channel data.

[0063] In this embodiment, the overturning moment timing signal channel data is segmented according to the above-mentioned overturning moment operating conditions.

[0064] S203: Add a bolt preload channel to the overturning moment in the integrated overturning moment timing signal channel data, as the final overturning moment timing signal channel data.

[0065] It should be noted that in this embodiment, the value of the matrix of the preload channel can be 1, and the dimension of the matrix is ​​consistent with the dimension of the load timing.

[0066] S204: Calculate the stress timing data based on the stress response data and the final overturning moment timing signal channel data.

[0067] Furthermore, to ensure the accuracy of the calculated stress time series data, the stress time series data obtained by calculating based on the stress response data and the final overturning moment time series signal channel data may include:

[0068] By using the linear assumption and the quasi-static superposition principle, stress response data and final overturning moment time-series signal channel data are calculated to obtain stress time-series data.

[0069] It should be noted that in this embodiment, the stress response data and the final overturning moment time series signal channel data are multiplied by matrix multiplication using the linear assumption and the quasi-static superposition principle to obtain the stress time series data.

[0070] S103: Obtain the duration distribution data corresponding to the final overturning moment timing signal channel.

[0071] In this embodiment, the duration distribution data corresponding to the final overturning moment timing signal channel is obtained. The purpose is to read the number of times the overturning moment timing signal channel data of a single working condition occurs, and obtain the duration distribution data corresponding to the final overturning moment timing signal channel.

[0072] S104: Obtain the stress amplitude, average stress, and number of occurrences of the bearing ring bolt holes corresponding to the stress time series data, and use them as the bearing ring extraction data.

[0073] In this embodiment, the stress amplitude, average stress, and number of occurrences corresponding to the stress timing data are obtained from the bolt holes of each bearing race.

[0074] Furthermore, to further improve the accuracy of the acquired bearing ring extraction data, before using the stress amplitude, average stress, and occurrence frequency of the bearing ring bolt holes corresponding to the aforementioned stress time series data as the bearing ring extraction data, the following may also be included:

[0075] The stress time series data is corrected to obtain corrected stress time series data.

[0076] Accordingly, obtaining the stress amplitude, average stress, and occurrence frequency of the bearing race bolt holes corresponding to the stress time series data, as the bearing race extraction data, may include:

[0077] Obtain the stress amplitude, average stress, and occurrence frequency of the bearing race bolt holes corresponding to the corrected stress time series data, and use them as the bearing race extraction data.

[0078] This embodiment does not limit the specific correction method for the stress time series data, as long as it can appropriately correct the stress time series data to obtain corrected stress time series data. For example, Goodman correction, Gerber correction, or Soderberg correction can be used to correct the stress time series data. To make the correction result more conservative, this embodiment may use Goodman correction to correct the stress time series data.

[0079] S105: The final damage data is obtained by calculating based on the data extracted from the bearing rings, the SN curve, and the time distribution data.

[0080] In this embodiment, the SN curve represents the relationship between stress and the number of cycles it can withstand. This embodiment extracts data from the bearing race, the SN curve, and the duration distribution data, and calculates the final damage data using Miner's linear cumulative rule. It should be noted that this embodiment calculates all bolt holes on the bearing race, preventing omissions and inaccurate results caused by calculating only a single hot spot.

[0081] Furthermore, to improve the accuracy of the final damage data obtained from calculations using the SN curve, the following steps may be included before calculating the final damage data based on the data extracted from the bearing rings, the SN curve, and the time distribution data:

[0082] The SN curve is corrected using input material data and correction information data.

[0083] It should be noted that the input material data in this embodiment includes tensile strength and yield strength, while the correction information data includes whether it is a test value, whether stress concentration exists, loading method, surface roughness, quality grade, testing method, dimensions and thickness, and material safety factor. The input material data and correction information data are the parameter information of the bearing ring itself.

[0084] Furthermore, to ensure the determination of pitch bearing ring damage and improve data usability, the calculations based on the extracted bearing ring data, SN curves, and time distribution data to obtain the final damage data may include the following steps:

[0085] Step S1: Calculate the damage data for each working condition based on the data extracted from the bearing rings and the SN curve.

[0086] Step S2: Accumulate and calculate the damage data for the entire cycle based on the damage data and duration distribution data under each working condition.

[0087] Step S3: Select the largest damage value from the damage data of the entire cycle as the final damage data.

[0088] The method for determining pitch bearing ring damage according to the embodiments of the present invention includes: applying preload to the bolts at the blade root and hub side of each blade; applying an overturning moment to each blade individually to obtain stress response data corresponding to each overturning moment; calculating stress time-series data based on the stress response data and the acquired final overturning moment time-series signal channel data, wherein the final overturning moment time-series signal channel data represents the loads to be calculated at the same time; acquiring the duration distribution data corresponding to the final overturning moment time-series signal channel data; acquiring the stress amplitude, average stress, and occurrence frequency of the bearing ring bolt holes corresponding to the stress time-series data as bearing ring extraction data; and calculating the final damage data based on the bearing ring extraction data, the SN curve, and the duration distribution data, wherein the SN curve is the relationship curve between stress and the number of withstandable cycles. This invention applies a preload to the bolts at the blade root and hub side of each blade, then applies an overturning moment to each blade individually, obtaining stress response data corresponding to each overturning moment. Based on this stress response data and the acquired final overturning moment timing signal channel data, stress timing data is calculated, incorporating the damage contribution caused by the blade in the surrounding load-bearing structure. This improves the accuracy of the calculation results and accurately captures damage contributions under all operating conditions, facilitating load reduction optimization for specific conditions. This also improves the accuracy and efficiency of the fatigue damage calculation method for pitch bearing race bolt holes. Furthermore, by utilizing circumferential stress components as individual stress response data, this invention enables a more conservative assessment of pitch bearing ring damage. By segmenting the overturning moment time-series signal channel data according to operating conditions and incorporating a bolt preload channel, and employing linear assumptions and quasi-static superposition principles to calculate the stress response data and the final overturning moment time-series signal channel data, the accuracy of the calculated stress time-series data is ensured. By correcting the stress time-series data and using input material data and correction information to modify the SN curve, the accuracy of the acquired bearing ring data and the final damage data is improved. Selecting the maximum damage value from the entire cycle of damage data as the final damage data enhances the data's practicality.

[0089] To make the present invention easier to understand, the above-mentioned method for determining the damage of pitch bearing rings may specifically include the following steps:

[0090] Step S10: Using commercial finite element analysis software, establish an overall finite element model of the blade-bearing-hub. After applying bolt preload, apply M separately to blade roots 1, 2, and 3. x =±10000kNm, M y = ±10000kNm, a total of 13 operating conditions. Taking blade 1 at M xThe maximum circumferential stress response under working conditions is used as the evaluation criterion, and stress response data for one node is obtained for each bolt hole.

[0091] Step S11: Using scientific computing software, process the input load timing sequence, extract the overturning moment timing signal channel data of each blade, separate the positive and negative signals, segment according to the working conditions, and increase the preload torque.

[0092] Step S12: Read the duration distribution data corresponding to the overturning moment timing signal channel data;

[0093] Step S13: Based on the linear assumption and the quasi-static superposition principle, matrix multiplication is performed on the load-stress response data of the 13 channels obtained in step S10 and the load time series data obtained in step S11 to calculate the stress time series data.

[0094] Step S14: Correct the stress time series data obtained in step S13 using Goodman correction.

[0095] Step S15: The corrected stress time series data is counted according to the working conditions using the rain flow counting method to obtain the stress amplitude, mean value and occurrence number of each extracted position of the bearing ring bolt hole.

[0096] Step S16: Correct the SN curve using the input material data and correction information data. The input material data includes tensile strength (MPa) and yield strength (MPa). The correction information data input includes: whether it is a test value, whether there is stress concentration, loading mode, surface roughness, quality grade, testing method, size and thickness, and material safety factor.

[0097] Step S17: The stress amplitude, mean, and number of stresses obtained in step S15 are combined with the corrected SN curve obtained in step S16. According to Miner's linear accumulation rule, the damage value generated under each working condition can be obtained. Combined with the duration distribution data of each working condition input in step S12, the fatigue damage of the pitch bearing race bolt hole throughout the entire operating cycle is finally obtained.

[0098] Step S18: Output the total damage to each bolt hole of the pitch bearing race, as well as the damage value caused by each operating condition, using the maximum damage value as the bearing race damage. See Figure 3.

[0099] The following describes the pitch bearing ring damage determination device provided in the embodiments of the present invention. The pitch bearing ring damage determination device described below and the pitch bearing ring damage determination method described above can be referred to in correspondence.

[0100] Please refer to Figure 4 for details. Figure 4 is a structural schematic diagram of a pitch bearing ring damage determination device provided in an embodiment of the present invention, which may include:

[0101] The stress response data acquisition module 100 is used to apply a preload to the bolts at the blade root and hub side of each blade, and then apply an overturning moment to each blade individually to obtain stress response data corresponding to each overturning moment.

[0102] The stress timing data acquisition module 200 is used to calculate stress timing data based on the stress response data and the acquired final overturning moment timing signal channel data; the final overturning moment timing signal channel data is the load that needs to be calculated at the same time.

[0103] The duration distribution data acquisition module 300 is used to acquire the duration distribution data corresponding to the final overturning moment timing signal channel data;

[0104] The bearing race extraction data acquisition module 400 is used to acquire the stress amplitude, average stress and occurrence number of the bearing race bolt holes corresponding to the stress time series data, as bearing race extraction data;

[0105] The final damage data calculation module 500 is used to calculate the final damage data based on the data extracted from the bearing rings, the SN curve, and the time distribution data; the SN curve is the relationship curve between stress and the number of cycles that can be withstood.

[0106] Furthermore, based on the above embodiments, the stress time series data acquisition module 200 may include:

[0107] The overturning moment timing signal channel data extraction unit is used to extract the overturning moment timing signal channel data of each blade according to the acquired load timing.

[0108] The segmentation processing unit is used to perform working condition segmentation processing on the overturning moment timing signal channel data to obtain comprehensive overturning moment timing signal channel data.

[0109] The bolt preload torque increasing unit is used to add a bolt preload torque channel to the overturning torque in the comprehensive overturning torque timing signal channel data, as the final overturning torque timing signal channel data;

[0110] The stress timing data calculation unit is used to calculate the stress timing data based on the stress response data and the final overturning moment timing signal channel data.

[0111] Furthermore, based on the above embodiments, the stress time series data calculation unit may include:

[0112] The stress time series data calculation subunit is used to calculate the stress response data and the final overturning moment time series signal channel data using the linear assumption and the quasi-static superposition principle to obtain the stress time series data.

[0113] Furthermore, based on the above embodiments, the stress response data acquisition module 100 may include:

[0114] The stress response data acquisition unit is used to apply the preload to the blade root and hub side bolts of each blade, apply the overturning moment separately, and select the circumferential stress components in each cylindrical coordinate system as each stress response data.

[0115] Furthermore, based on the above embodiments, the pitch bearing ring damage determination device may further include:

[0116] The SN curve correction processing module is used to correct the SN curve using input material data and correction information data. The input material data includes tensile strength and yield strength, and the correction information data includes whether it is a test value, whether stress concentration exists, loading mode, surface roughness, quality grade, testing method, size and thickness, and material safety factor.

[0117] Furthermore, based on the above embodiments, the final damage data calculation module 500 may include:

[0118] The working condition damage data acquisition unit is used to calculate the damage data for each working condition based on the data extracted from the bearing rings and the SN curve.

[0119] The cumulative calculation unit is used to perform cumulative calculations based on the damage data under each working condition and the duration distribution data to obtain the damage data for the entire cycle.

[0120] The final damage data acquisition unit is used to select the largest damage value in the damage data of the entire cycle as the final damage data.

[0121] Furthermore, based on the above embodiments, the pitch bearing ring damage determination device may further include:

[0122] The stress time series data correction module is used to correct the stress time series data to obtain corrected stress time series data.

[0123] Accordingly, the bearing ring data extraction module 400 may include:

[0124] The bearing race extraction data acquisition unit is used to acquire the stress amplitude, the average stress, and the number of occurrences of the bearing race bolt holes corresponding to the corrected stress time series data, as the bearing race extraction data.

[0125] It should be noted that the order of the modules, units, and sub-units in the aforementioned pitch bearing ring damage determination device can be changed without affecting the logic.

[0126] The pitch bearing ring damage determination device provided in this embodiment of the invention uses a stress response data acquisition module 100 to apply a preload to the bolts at the blade root and hub side of each blade, and then apply an overturning moment to each blade individually to obtain stress response data corresponding to each overturning moment. A stress timing data acquisition module 200 calculates stress timing data based on the stress response data and the acquired final overturning moment timing signal channel data, where the final overturning moment timing signal channel data represents the loads to be calculated at the same time. A duration distribution data acquisition module 300 acquires duration distribution data corresponding to the final overturning moment timing signal channel data. A bearing ring extraction data acquisition module 400 acquires the stress amplitude, average stress, and occurrence frequency of the bearing ring bolt holes corresponding to the stress timing data, using this as bearing ring extraction data. A final damage data calculation module 500 calculates the final damage data based on the bearing ring extraction data, the SN curve, and the duration distribution data, where the SN curve is the relationship curve between stress and the number of withstandable cycles. This invention applies a preload to the bolts at the blade root and hub side of each blade, then applies an overturning moment to each blade individually, obtaining stress response data corresponding to each overturning moment. Based on this stress response data and the acquired final overturning moment timing signal channel data, stress timing data is calculated, incorporating the damage contribution caused by the blade in the surrounding load-bearing structure. This improves the accuracy of the calculation results and accurately captures damage contributions under all operating conditions, facilitating load reduction optimization for specific conditions. This also improves the accuracy and efficiency of the fatigue damage calculation method for pitch bearing race bolt holes. Furthermore, by utilizing circumferential stress components as individual stress response data, this invention enables a more conservative assessment of pitch bearing ring damage. By segmenting the overturning moment time-series signal channel data according to operating conditions and incorporating a bolt preload channel, and employing linear assumptions and quasi-static superposition principles to calculate the stress response data and the final overturning moment time-series signal channel data, the accuracy of the calculated stress time-series data is ensured. By correcting the stress time-series data and using input material data and correction information to modify the SN curve, the accuracy of the acquired bearing ring data and the final damage data is improved. Selecting the maximum damage value from the entire cycle of damage data as the final damage data enhances the data's practicality.

[0127] The following describes the pitch bearing ring damage determination device provided in the embodiments of the present invention. The pitch bearing ring damage determination device described below and the pitch bearing ring damage determination method described above can be referred to in correspondence.

[0128] Please refer to Figure 5, which is a structural schematic diagram of the pitch bearing ring damage determination device provided in an embodiment of the present invention, which may include:

[0129] Memory 10 is used to store computer programs;

[0130] Processor 20 is used to execute a computer program to implement the above-described method for determining the damage of pitch bearing races.

[0131] The memory 10, processor 20, and communication interface 31 all communicate with each other through the communication bus 32.

[0132] In this embodiment of the invention, the memory 10 is used to store one or more programs. The programs may include program code, which includes computer operation instructions. In this embodiment, the memory 10 may store programs for implementing the following functions:

[0133] After applying preload to the bolts at the blade root and hub side of each blade, an overturning moment is applied to each blade individually to obtain stress response data corresponding to each overturning moment;

[0134] The stress time series data is obtained by calculating based on the stress response data and the acquired final overturning moment time series signal channel data; the final overturning moment time series signal channel data represents the loads that need to be calculated at the same time.

[0135] Obtain the duration distribution data corresponding to the final overturning moment timing signal channel data;

[0136] The stress amplitude, average stress, and number of occurrences of the bearing ring bolt holes corresponding to the stress time series data are obtained as the bearing ring extraction data;

[0137] The final damage data is obtained by calculating based on the data extracted from the bearing rings, the SN curve, and the time distribution data; the SN curve is the relationship curve between stress and the number of cycles that can be withstood.

[0138] In one possible implementation, the memory 10 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; and the data storage area may store data created during use.

[0139] Furthermore, memory 10 may include read-only memory and random access memory, providing instructions and data to the processor. A portion of the memory may also include NVRAM. The memory stores operating systems and operating instructions, executable modules, or data structures, or subsets thereof, or extended sets thereof, wherein the operating instructions may include various operating instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and handling hardware-based tasks.

[0140] Processor 20 can be a central processing unit (CPU), an application-specific integrated circuit, a digital signal processor, a field-programmable gate array, or other programmable logic device. Processor 20 can be a microprocessor or any conventional processor. Processor 20 can call programs stored in memory 10.

[0141] Communication interface 31 can be an interface for the communication module, used to connect with other devices or systems.

[0142] Of course, it should be noted that the structure shown in Figure 5 does not constitute a limitation on the pitch bearing ring damage determination device in the embodiments of this application. In practical applications, the pitch bearing ring damage determination device may include more or fewer components than those shown in Figure 5, or combine certain components.

[0143] The storage medium provided in the embodiments of the present invention is described below. The storage medium described below can be referred to in correspondence with the method for determining the damage of the pitch bearing rings described above.

[0144] The present invention also provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for determining damage to pitch bearing races.

[0145] The storage medium can include various media that can store program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0146] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0147] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0148] Finally, it should be noted that in this document, relationships such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0149] The present invention provides a detailed description of a method, apparatus, device, and storage medium for determining damage to pitch bearing races. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for determining damage to pitch bearing rings, characterized in that, include: After applying preload to the bolts at the blade root and hub side of each blade, an overturning moment is applied to each blade individually to obtain stress response data corresponding to each overturning moment; stress timing data is obtained by calculating based on each stress response data and the acquired final overturning moment timing signal channel data. The final overturning moment timing signal channel data represents the load that needs to be calculated at the same time. Obtain the duration distribution data corresponding to the final overturning moment timing signal channel data; The stress amplitude, average stress, and number of occurrences of the bearing ring bolt holes corresponding to the stress time series data are obtained as bearing ring extraction data; the final damage data are calculated based on the bearing ring extraction data, the SN curve, and the time distribution data; the SN curve is the relationship curve between stress and the number of times it can withstand. The step of calculating stress time-series data based on the stress response data and the acquired overturning moment time-series signal channel data includes: extracting overturning moment time-series signal channel data for each blade based on the acquired load time sequence; performing condition segmentation processing on the overturning moment time-series signal channel data to obtain comprehensive overturning moment time-series signal channel data; adding a bolt preload channel to the overturning moment in the comprehensive overturning moment time-series signal channel data as the final overturning moment time-series signal channel data; and calculating the stress time-series data based on the stress response data and the final overturning moment time-series signal channel data. The process includes: calculating the stress response data and the final overturning moment time-series signal channel data using linear assumptions and the quasi-static superposition principle to obtain the stress time-series data; calculating the final damage data based on the bearing ring extracted data, the SN curve, and the time distribution data, including: calculating the damage data for each working condition based on the bearing ring extracted data and the SN curve; performing cumulative calculation based on the damage data for each working condition and the time distribution data to obtain the damage data for the entire cycle; and selecting the largest damage value among the damage data for the entire cycle as the final damage data.

2. The method for determining damage to pitch bearing rings according to claim 1, characterized in that, After applying preload to the bolts at the blade root and hub side of each blade, an overturning moment is applied to each blade individually to obtain stress response data corresponding to each overturning moment. This includes: after applying the preload to the bolts at the blade root and hub side of each blade, the overturning moment is applied individually, and the circumferential stress components in each cylindrical coordinate system are selected as each stress response data.

3. The method for determining damage to pitch bearing rings according to claim 1, characterized in that, Before calculating the final damage data based on the data extracted from the bearing rings, the SN curve, and the time distribution data, the method further includes: correcting the SN curve using input material data and correction information data; the input material data includes tensile strength and yield strength, and the correction information data includes whether it is a test value, whether there is stress concentration, loading mode, surface roughness, quality grade, detection method, size and thickness, and material safety factor.

4. The method for determining damage to pitch bearing rings according to claim 1, characterized in that, Before acquiring the stress amplitude, average stress, and occurrence frequency of the bearing ring bolt holes corresponding to the stress time series data as bearing ring extraction data, the method further includes: correcting the stress time series data to obtain corrected stress time series data; correspondingly, acquiring the stress amplitude, average stress, and occurrence frequency of the bearing ring bolt holes corresponding to the stress time series data as bearing ring extraction data includes: acquiring the stress amplitude, average stress, and occurrence frequency of the bearing ring bolt holes corresponding to the corrected stress time series data as the bearing ring extraction data.

5. A device for determining damage to pitch bearing rings, characterized in that, include: The stress response data acquisition module is used to apply a preload to the bolts at the blade root and hub side of each blade, and then apply an overturning moment to each blade individually to obtain stress response data corresponding to each overturning moment; the stress time series data acquisition module is used to calculate stress time series data based on each stress response data and the acquired final overturning moment time series signal channel data. The final overturning moment timing signal channel data represents the load that needs to be calculated at the same time. The time distribution data acquisition module is used to acquire the time distribution data corresponding to the final overturning moment time sequence signal channel data; the bearing ring extraction data acquisition module is used to acquire the stress amplitude, average stress, and occurrence number of the bearing ring bolt holes corresponding to the stress time sequence data, as bearing ring extraction data; the final damage data calculation module is used to calculate the final damage data based on the bearing ring extraction data, the SN curve, and the time distribution data; the SN curve is the relationship curve between stress and the number of withstandable cycles. The step of calculating stress time-series data based on the stress response data and the acquired overturning moment time-series signal channel data includes: extracting overturning moment time-series signal channel data for each blade based on the acquired load time sequence; performing condition segmentation processing on the overturning moment time-series signal channel data to obtain comprehensive overturning moment time-series signal channel data; adding a bolt preload channel to the overturning moment in the comprehensive overturning moment time-series signal channel data as the final overturning moment time-series signal channel data; and calculating the stress time-series data based on the stress response data and the final overturning moment time-series signal channel data. The process includes: calculating the stress response data and the final overturning moment time-series signal channel data using linear assumptions and the quasi-static superposition principle to obtain the stress time-series data; calculating the final damage data based on the bearing ring extracted data, the SN curve, and the time distribution data, including: calculating the damage data for each working condition based on the bearing ring extracted data and the SN curve; performing cumulative calculation based on the damage data for each working condition and the time distribution data to obtain the damage data for the entire cycle; and selecting the largest damage value among the damage data for the entire cycle as the final damage data.

6. A device for determining damage to pitch bearing rings, characterized in that, include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the method for determining pitch bearing ring damage as described in any one of claims 1 to 4.

7. A storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for determining pitch bearing ring damage as described in any one of claims 1 to 4.

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