Reliability analysis method for sliding bearing of wind power gear box and related device
By constructing a three-dimensional model and fitting analysis of the sliding bearing of the wind power gear box, its reliability is evaluated, and the problem of lack of effective reference for sliding bearing design in the prior art is solved, and the stability and efficiency of wind turbines are improved.
Patent Information
- Application Number
- CN202411368742.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-29
- Publication Date
- 2024-12-17
AI Technical Summary
The prior art has fewer reliability analysis methods for sliding bearings of stroke gearboxes, resulting in a lack of effective reference in design and affecting the operating stability of wind turbines.
By constructing a three-dimensional model of the sliding bearing of the wind power gear box, combining multiple sets of sample parameters to be analyzed, fitting the functional relationship between the parameters to be analyzed and the sample analysis results, determining the optimal value range, and calculating the deformation of the bearing through simulation Measure the reliability of sliding bearings.
It provides an effective reference for the design of sliding bearings of wind power gearboxes, improves the operating reliability and efficiency of wind turbines, and reduces the failure rate.
Smart Images
Figure CN119150486A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of computer technology, and in particular to a reliability analysis method and related device for a wind turbine gearbox sliding bearing. Background Art
[0002] As a key component in a wind turbine generator set, the wind turbine gearbox's main function is to transfer the power generated by the wind rotor under the action of wind to the generator and make it reach the speed required for the generator to generate electricity.
[0003] Sliding bearings are an indispensable component in wind turbine gearboxes. They support loads through sliding friction, reducing friction and wear, while improving the efficiency and life of wind turbine gearboxes. In wind turbine gearboxes, sliding bearings are mainly composed of an inner sleeve, an outer sleeve and a sliding layer. The sliding layer is usually made of a material coated with a solid lubricant.
[0004] Since once a sliding bearing fails, the wind turbine will not be able to operate. Therefore, considering the impact of uncertain factors on the sliding bearing and analyzing the reliability of the sliding bearing is an effective way to evaluate the sliding bearing and provides an important reference for the design of the sliding bearing. Summary of the invention
[0005] The present application provides a reliability analysis method and related device for a sliding bearing of a wind turbine gearbox, which can provide an effective reference for the design of the sliding bearing of the wind turbine gearbox.
[0006] In order to achieve the above objectives, this application adopts the following technical solutions: In a first aspect, the present application provides a reliability analysis method for a sliding bearing of a wind turbine gearbox, comprising: Construct a 3D model of the sliding bearing of a wind turbine gearbox; According to the three-dimensional model and the multiple groups of sample parameters to be analyzed, a sample analysis result corresponding to each group of sample parameters to be analyzed is obtained, wherein the sample parameters to be analyzed include sample lubricant density, sample lubricant specific heat coefficient, sample lubricant thermal conductivity, sample lubricant viscosity, sample inlet pressure, sample outlet pressure and sample bearing speed, and the sample analysis result includes sample bearing oil film pressure; Fitting is performed according to a plurality of groups of sample parameters to be analyzed and sample analysis results corresponding to each group of sample parameters to be analyzed to obtain a first functional relationship between the sample parameters to be analyzed and the sample analysis results; Acquiring a target analysis result, wherein the target analysis result includes a target bearing oil film pressure; An optimal value range of the parameter to be analyzed is determined according to the target analysis result and the first functional relationship.
[0007] In some possible implementations, the first functional relationship is represented by the following formula:
[0008] Among them, Y represents the analysis result, represents the parameter to be analyzed in the i-th dimension, represents the parameter to be analyzed in the jth dimension, is the first coefficient obtained by fitting, is the second coefficient of the i-th dimension obtained by fitting, is the third coefficient of the ijth dimension obtained by fitting, is the fourth coefficient of the i-th dimension obtained by fitting, and n is the number of dimensions of the parameters to be analyzed.
[0009] In some possible implementations, the method further includes: The simulation is performed according to the optimal value range of the parameter to be analyzed and the three-dimensional model to obtain the shaft deformation and / or cavitation condition of the three-dimensional model.
[0010] In some possible implementations, the parameter to be analyzed conforms to a normal distribution, and the method further includes: Determining the mean and variance of the parameter to be analyzed according to the optimal value range of the parameter to be analyzed; Determining the mean and variance of the analysis result according to the mean of the parameter to be analyzed; According to the mean and variance of the analysis result, the reliability index of the sliding bearing of the wind turbine gearbox is determined.
[0011] In some possible implementations, the method further includes: The failure probability of the sliding bearing of the wind turbine gearbox is calculated by the following formula:
[0012] in, is the failure probability, It is a reliability indicator.
[0013] In a second aspect, the present application provides a reliability analysis device for a sliding bearing of a wind turbine gearbox, the device comprising: A construction module for constructing a three-dimensional model of a sliding bearing of a wind turbine gearbox; a calculation module, for obtaining, according to the three-dimensional model and a plurality of groups of sample parameters to be analyzed, a sample analysis result corresponding to each group of sample parameters to be analyzed, wherein the sample parameters to be analyzed include sample lubricant density, sample lubricant specific heat coefficient, sample lubricant thermal conductivity, sample lubricant viscosity, sample inlet pressure, sample outlet pressure and sample bearing speed, and the sample analysis result includes sample bearing oil film pressure; A fitting module, used for performing fitting according to a plurality of groups of sample parameters to be analyzed and sample analysis results corresponding to each group of sample parameters to be analyzed, to obtain a first functional relationship between the sample parameters to be analyzed and the sample analysis results; An acquisition module, used for acquiring a target analysis result, wherein the target analysis result includes a target bearing oil film pressure; A determination module is used to determine the optimal value range of the parameter to be analyzed based on the target analysis result and the first functional relationship.
[0014] In some possible implementations, the first functional relationship is represented by the following formula:
[0015] Among them, Y represents the analysis result, represents the parameter to be analyzed in the i-th dimension, represents the parameter to be analyzed in the jth dimension, is the first coefficient obtained by fitting, is the second coefficient of the i-th dimension obtained by fitting, is the third coefficient of the ijth dimension obtained by fitting, is the fourth coefficient of the i-th dimension obtained by fitting, and n is the number of dimensions of the parameters to be analyzed.
[0016] In some possible implementations, the method further includes: The simulation is performed according to the optimal value range of the parameter to be analyzed and the three-dimensional model to obtain the shaft deformation and / or cavitation condition of the three-dimensional model.
[0017] In some possible implementations, the parameter to be analyzed conforms to a normal distribution, and the method further includes: Determining the mean and variance of the parameter to be analyzed according to the optimal value range of the parameter to be analyzed; Determining the mean and variance of the analysis result according to the mean of the parameter to be analyzed; According to the mean and variance of the analysis result, the reliability index of the sliding bearing of the wind turbine gearbox is determined.
[0018] In some possible implementations, the method further includes: The failure probability of the sliding bearing of the wind turbine gearbox is calculated by the following formula:
[0019] in, is the failure probability, It is a reliability indicator.
[0020] In a third aspect, the present application provides a computing device, including a memory and a processor; One or more computer programs are stored in the memory, and the one or more computer programs include instructions; when the instructions are executed by the processor, the computing device executes the method as described in any one of the first aspects.
[0021] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method as described in any one of the first aspects.
[0022] It can be seen from the above technical solution that the present application has at least the following beneficial effects: In the present application, a three-dimensional model of the sliding bearing of the wind turbine gearbox is first constructed, and then the sample analysis results corresponding to each group of sample parameters to be analyzed are obtained based on the three-dimensional model and multiple groups of sample parameters to be analyzed, and fitting is performed based on the multiple groups of sample parameters to be analyzed and the sample analysis results corresponding to each group of sample parameters to be analyzed to obtain the first functional relationship between the sample parameters to be analyzed and the sample analysis results, and then the target analysis results are obtained, and the optimal value range of the parameters to be analyzed is determined based on the target analysis results and the first functional relationship. Among them, the sample parameters to be analyzed include sample lubricant density, sample lubricant specific heat coefficient, sample lubricant thermal conductivity, sample lubricant viscosity, sample inlet pressure, sample outlet pressure and sample bearing speed, the sample analysis results include sample bearing oil film pressure, and the target analysis results include target bearing oil film pressure. In traditional solutions, there are few reliability analysis methods for sliding bearings of wind turbine gearboxes, so the solution of the present application can provide an effective reference for the design of sliding bearings of wind turbine gearboxes.
[0023] It should be understood that the description of technical features, technical solutions, beneficial effects or similar language in this application does not imply that all features and advantages can be realized in any single embodiment. On the contrary, it is understood that the description of features or beneficial effects means that specific technical features, technical solutions or beneficial effects are included in at least one embodiment. Therefore, the description of technical features, technical solutions or beneficial effects in this specification does not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions and beneficial effects described in the present embodiment can also be combined in any appropriate manner. Those skilled in the art will understand that the embodiment can be realized without one or more specific technical features, technical solutions or beneficial effects of a specific embodiment. In other embodiments, additional technical features and beneficial effects can also be identified in a specific embodiment that does not embody all embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 A flow chart of a reliability analysis method for a sliding bearing of a wind turbine gearbox provided in an embodiment of the present application; Figure 2 A schematic diagram of a reliability analysis device for a sliding bearing of a wind turbine gearbox provided in an embodiment of the present application; Figure 3 A schematic diagram of a computing device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0025] The terms "first", "second", "third", etc. in the specification of this application and the accompanying drawings are used to distinguish different objects rather than to limit a specific order.
[0026] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.
[0027] In order to make the description of the following embodiments clear and concise, a brief introduction to the related technology is first given: Wind turbine gearboxes are important mechanical transmission devices in wind turbines. As the core transmission component of wind turbines, wind turbine gearboxes convert the low-speed, high-torque kinetic energy of the wind wheel into the high-speed, low-torque kinetic energy required by the generator through multi-stage speed increase to ensure efficient power generation. Its structure is complex, including precision gears, bearings, and lubrication systems, and has extremely high requirements for performance and reliability. With technological advances, wind turbine gearboxes are constantly optimized, using new materials and new processes to improve load-bearing capacity and life, and reduce failure rates, in order to meet the needs of efficient and stable development of the wind power industry.
[0028] At present, there are few reliability analysis methods for sliding bearings of wind turbine gearboxes. In view of this, an embodiment of the present application provides a method, in which a three-dimensional model of the sliding bearing of the wind turbine gearbox is first constructed, and then the sample analysis results corresponding to each group of sample parameters to be analyzed are obtained based on the three-dimensional model and multiple groups of sample parameters to be analyzed, and fitting is performed based on multiple groups of sample parameters to be analyzed and the sample analysis results corresponding to each group of sample parameters to be analyzed to obtain a first functional relationship between the sample parameters to be analyzed and the sample analysis results, and then the target analysis results are obtained, and the optimal value range of the parameters to be analyzed is determined based on the target analysis results and the first functional relationship. Among them, the sample parameters to be analyzed include sample lubricant density, sample lubricant specific heat coefficient, sample lubricant thermal conductivity, sample lubricant viscosity, sample inlet pressure, sample outlet pressure and sample bearing speed, the sample analysis results include sample bearing oil film pressure, and the target analysis results include target bearing oil film pressure. It can be seen that the scheme of the present application can provide an effective reference for the design of sliding bearings of wind turbine gearboxes.
[0029] In order to make the technical solution of the present application clearer and easier to understand, the technical solution of the present application is introduced below in conjunction with the accompanying drawings. Figure 1 As shown, this figure is a flow chart of a reliability analysis method for a sliding bearing of a wind power gearbox provided in an embodiment of the present application.
[0030] The embodiment of the present application is applied to a processing device, and the method includes: S101. Construct a three-dimensional model of a sliding bearing of a wind turbine gearbox.
[0031] The oil film model of sliding bearing is established by using three-dimensional computer-aided design software.
[0032] S102 . Obtaining sample analysis results corresponding to each group of sample parameters to be analyzed according to the three-dimensional model and the multiple groups of sample parameters to be analyzed.
[0033] The three-dimensional model is imported into the computational fluid dynamics (CFD) simulation analysis software to set the parameters of the sample to be analyzed. The parameters include the setting selection of the physical properties of the lubricating oil, such as density, viscosity, thermal conductivity, specific heat coefficient, etc., as well as the setting selection of the lubricating oil pressure inlet, pressure outlet, shaft speed, and interface.
[0034] The wind turbine gearbox sliding bearing is simulated and analyzed according to the parameters and boundary conditions, and calculated by the Reynolds equation. The formula is as follows:
[0035] Where ρ is the density of the lubricating oil, h is the thickness of the oil film, is the viscosity of the lubricating oil, p is the oil film pressure, and U is the average speed of the bearing and the shaft, and the distribution cloud diagram of the bearing lubricating oil film pressure is obtained.
[0036] As the wind turbine gearbox sliding bearings work in the actual process, as the working time increases, heat will be generated between the bearings, and the temperature of the bearing lubricant will increase accordingly, which will cause the physical properties of the lubricant to change and the sliding bearing to produce thermal deformation, thereby affecting the change of the oil film pressure. Therefore, introducing these physical properties of the lubricant into the input parameters can obtain the impact of the heat generated during the working process of the bearing and set the range.
[0037] The sample parameters to be analyzed include sample lubricant density, sample lubricant specific heat coefficient, sample lubricant thermal conductivity, sample lubricant viscosity, sample inlet pressure, sample outlet pressure and sample bearing speed, and the sample analysis results include sample bearing oil film pressure; S103 , performing fitting according to multiple groups of sample parameters to be analyzed and sample analysis results corresponding to each group of sample parameters to be analyzed, to obtain a first functional relationship between the sample parameters to be analyzed and the sample analysis results.
[0038] The first functional relationship is characterized by the following formula:
[0039] Among them, Y represents the analysis result, represents the parameter to be analyzed in the i-th dimension, represents the parameter to be analyzed in the jth dimension, is the first coefficient obtained by fitting, is the second coefficient of the i-th dimension obtained by fitting, is the third coefficient of the ijth dimension obtained by fitting, is the fourth coefficient of the i-th dimension obtained by fitting, and n is the number of dimensions of the parameters to be analyzed.
[0040] Based on multiple groups of sample parameters to be analyzed, we use modeling and statistical methods to match and analyze each group of sample parameters to be analyzed with the sample analysis results corresponding to the sample parameters to be analyzed. Through algorithm iteration and optimization, the first functional relationship is fitted. Among them, the first functional relationship is the oil film pressure model.
[0041] The first functional relationship accurately describes the connection between the sample parameters to be analyzed and the sample analysis results corresponding to the sample parameters to be analyzed, providing a mathematical basis and scientific basis for subsequent data prediction, trend analysis and decision making.
[0042] S104: Obtain target analysis results.
[0043] The target analysis result is obtained through the above operation, and the target analysis result includes the target bearing oil film pressure; S105. Determine the optimal value range of the parameter to be analyzed according to the target analysis result and the first functional relationship.
[0044] Substitute the target analysis result into Y in the first functional relationship, and the value range of the parameter to be analyzed can be obtained according to the formula, which is the optimal value range.
[0045] The simulation is performed according to the optimal value range of the parameter to be analyzed and the three-dimensional model to obtain the shaft deformation and / or cavitation condition of the three-dimensional model.
[0046] Wherein, the parameter to be analyzed conforms to a normal distribution, and the method further comprises: According to the optimal value range of the parameter to be analyzed, the mean and variance of the parameter to be analyzed are determined; According to the mean of the parameter to be analyzed, determine the mean and variance of the analysis results; According to the mean and variance of the analysis results, the reliability index of the sliding bearing of the wind turbine gearbox is determined.
[0047] The failure probability of the sliding bearing of the wind turbine gearbox is calculated by the following formula:
[0048] in, is the failure probability, It is a reliability indicator.
[0049] Compared with existing methods, this method can construct a relationship model between output variables and input variables with fewer sample points, thereby saving time, improving calculation efficiency, and saving costs.
[0050] Combination of the above Figure 1 The reliability analysis method of the sliding bearing of the wind turbine gearbox provided in the embodiment of the present application is introduced in detail. The device and equipment provided in the embodiment of the present application will be introduced in conjunction with the accompanying drawings.
[0051] like Figure 2 As shown, the figure is a schematic diagram of a reliability analysis device for a sliding bearing of a wind turbine gearbox provided in an embodiment of the present application, and the device includes: a construction module 201, a calculation module 202, a fitting module 203, an acquisition module 204 and a determination module 205.
[0052] A construction module 201 is used to construct a three-dimensional model of a sliding bearing of a wind turbine gearbox; A calculation module 202, configured to obtain a sample analysis result corresponding to each group of sample parameters to be analyzed according to the three-dimensional model and multiple groups of sample parameters to be analyzed, wherein the sample parameters to be analyzed include sample lubricant density, sample lubricant specific heat coefficient, sample lubricant thermal conductivity, sample lubricant viscosity, sample inlet pressure, sample outlet pressure and sample bearing speed, and the sample analysis result includes sample bearing oil film pressure; A fitting module 203, configured to perform fitting according to multiple groups of sample parameters to be analyzed and sample analysis results corresponding to each group of sample parameters to be analyzed, to obtain a first functional relationship between the sample parameters to be analyzed and the sample analysis results; An acquisition module 204 is used to acquire a target analysis result, wherein the target analysis result includes a target bearing oil film pressure; The determination module 205 is used to determine the optimal value range of the parameter to be analyzed according to the target analysis result and the first functional relationship.
[0053] The reliability analysis device 200 of the sliding bearing of the wind turbine gearbox according to the embodiment of the present application may correspond to the method described in the embodiment of the present application, and the above-mentioned other operations and / or functions of each module / unit of the reliability analysis device 200 of the sliding bearing of the wind turbine gearbox are to achieve Figure 1 For the sake of brevity, the corresponding processes of each method in the illustrated embodiment are not described in detail here.
[0054] The present application also provides a computing device. Figure 3 As shown, this figure is a schematic diagram of a computing device provided in an embodiment of the present application, and the computing device 300 includes a bus 301, a processor 302, a communication interface 303 and a memory 304. The processor 302, the memory 304 and the communication interface 303 communicate with each other through the bus 301.
[0055] The bus 301 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.
[0056] The processor 302 may be any one or more of a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor (MP), or a digital signal processor (DSP).
[0057] The communication interface 303 is used for communicating with the outside.
[0058] The memory 304 may include a volatile memory, such as a random access memory (RAM). The memory 304 may also include a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD), or a solid state drive (SSD).
[0059] The memory 304 stores executable codes, and the processor 302 executes the executable codes to perform the reliability analysis method of the sliding bearing of the wind turbine gearbox.
[0060] Specifically, in implementing Figure 2 In the case of the embodiment shown, and Figure 2 When each module or unit of the reliability analysis device for the sliding bearing of the wind turbine gearbox described in the embodiment is implemented by software, the execution Figure 2 The software or program code required for the functions of each module / unit in the system may be partially or completely stored in the memory 304. The processor 302 executes the program code corresponding to each unit stored in the memory 304 to execute the reliability analysis method of the sliding bearing of the wind power gearbox.
[0061] The embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium can be any available medium that can be stored by a computing device or a data storage device such as a data center that contains one or more available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid-state hard disk). The computer-readable storage medium includes instructions that instruct the computing device to execute the reliability analysis method of the sliding bearing of the wind power gearbox.
[0062] The embodiment of the present application further provides a computer program product, which includes one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the process or function described in the embodiment of the present application is generated in whole or in part.
[0063] The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer or data center to another website, computer or data center via wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means.
[0064] When the computer program product is executed by a computer, the computer executes any of the aforementioned methods for analyzing the reliability of a sliding bearing of a wind turbine gearbox. The computer program product may be a software installation package, and when any of the aforementioned methods for analyzing the reliability of a sliding bearing of a wind turbine gearbox is required, the computer program product may be downloaded and executed on a computer.
[0065] The descriptions of the processes or structures corresponding to the above-mentioned figures have different emphases. For parts that are not described in detail in a certain process or structure, please refer to the relevant descriptions of other processes or structures.
[0066] The above description is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application.
Claims
1. A reliability analysis method for sliding bearings of wind turbine gearboxes. It is characterized in that The method comprises: Construct a 3D model of the sliding bearing of a wind turbine gearbox; According to the three-dimensional model and the multiple groups of sample parameters to be analyzed, a sample analysis result corresponding to each group of sample parameters to be analyzed is obtained, wherein the sample parameters to be analyzed include sample lubricant density, sample lubricant specific heat coefficient, sample lubricant thermal conductivity, sample lubricant viscosity, sample inlet pressure, sample outlet pressure and sample bearing speed, and the sample analysis result includes sample bearing oil film pressure; Fitting is performed according to a plurality of groups of sample parameters to be analyzed and sample analysis results corresponding to each group of sample parameters to be analyzed to obtain a first functional relationship between the sample parameters to be analyzed and the sample analysis results; Acquiring a target analysis result, wherein the target analysis result includes a target bearing oil film pressure; An optimal value range of the parameter to be analyzed is determined according to the target analysis result and the first functional relationship.
2. The method according to claim 1, It is characterized in that The first functional relationship is characterized by the following formula: Among them, Y represents the analysis result, represents the parameter to be analyzed in the i-th dimension, represents the parameter to be analyzed in the jth dimension, is the first coefficient obtained by fitting, is the second coefficient of the i-th dimension obtained by fitting, is the third coefficient of the ijth dimension obtained by fitting, is the fourth coefficient of the i-th dimension obtained by fitting, and n is the number of dimensions of the parameters to be analyzed.
3. The method according to claim 1, It is characterized in that The method further comprises: The simulation is performed according to the optimal value range of the parameter to be analyzed and the three-dimensional model to obtain the shaft deformation and / or cavitation condition of the three-dimensional model.
4. The method according to claim 1, It is characterized in that The parameter to be analyzed conforms to normal distribution, and the method further comprises: Determining the mean and variance of the parameter to be analyzed according to the optimal value range of the parameter to be analyzed; Determining the mean and variance of the analysis result according to the mean of the parameter to be analyzed; According to the mean and variance of the analysis result, the reliability index of the sliding bearing of the wind turbine gearbox is determined.
5. The method according to claim 4, It is characterized in that The method further comprises: The failure probability of the sliding bearing of the wind turbine gearbox is calculated by the following formula: in, is the failure probability, It is a reliability indicator.
6. A reliability analysis device for sliding bearings of wind turbine gearboxes, It is characterized in that The device comprises: A construction module for constructing a three-dimensional model of a sliding bearing of a wind turbine gearbox; a calculation module, for obtaining, according to the three-dimensional model and a plurality of groups of sample parameters to be analyzed, a sample analysis result corresponding to each group of sample parameters to be analyzed, wherein the sample parameters to be analyzed include sample lubricant density, sample lubricant specific heat coefficient, sample lubricant thermal conductivity, sample lubricant viscosity, sample inlet pressure, sample outlet pressure and sample bearing speed, and the sample analysis result includes sample bearing oil film pressure; A fitting module, used for performing fitting according to a plurality of groups of sample parameters to be analyzed and sample analysis results corresponding to each group of sample parameters to be analyzed, to obtain a first functional relationship between the sample parameters to be analyzed and the sample analysis results; An acquisition module, used for acquiring a target analysis result, wherein the target analysis result includes a target bearing oil film pressure; A determination module is used to determine the optimal value range of the parameter to be analyzed based on the target analysis result and the first functional relationship.
7. The device according to claim 6, It is characterized in that The first functional relationship is characterized by the following formula: Among them, Y represents the analysis result, represents the parameter to be analyzed in the i-th dimension, represents the parameter to be analyzed in the jth dimension, is the first coefficient obtained by fitting, is the second coefficient of the i-th dimension obtained by fitting, is the third coefficient of the ijth dimension obtained by fitting, is the fourth coefficient of the i-th dimension obtained by fitting, and n is the number of dimensions of the parameters to be analyzed.
8. The device according to claim 6, It is characterized in that The parameters to be analyzed conform to the normal distribution, and the determination module is also used to determine the mean and variance of the parameters to be analyzed according to the optimal value range of the parameters to be analyzed; determine the mean and variance of the analysis results according to the mean of the parameters to be analyzed; and determine the reliability index of the sliding bearing of the wind power gearbox according to the mean and variance of the analysis results.
9. A computing device, It is characterized in that including memory and processor; One or more computer programs are stored in the memory, and the one or more computer programs include instructions; when the instructions are executed by the processor, the computing device executes the method as claimed in any one of claims 1 to 5.
10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method according to any one of claims 1 to 5.