A method, device, equipment and medium for vibration reduction debugging of a generator

Abstract

The present invention discloses a generator vibration damping debugging method, device, equipment and medium, relating to the technical field of wind power generation. By pre-establishing a dynamic simulation model of the generator elastic support system, only by inputting the basic stiffness and inertia parameters of the generator system into the model, the natural frequency of the system can be quickly calculated, and at the same time, the influence of the stiffness in each direction of the elastic support on each order of the natural frequency of the generator system can be analyzed. Furthermore, it provides guidance for the design selection and evaluation of the elastic support and for on-site debugging personnel to accurately adjust the stiffness of the elastic support, without relying on manual experience, avoiding resonance of the system at different speeds, and efficiently solving the generator vibration damping requirements and abnormal vibration problems.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and particularly to a vibration damping debugging method, device, equipment and medium for a generator. Background Art

[0002] With the development of large-scale wind turbines, the vibration and noise problems of the unit structure are becoming increasingly serious. In particular, abnormal noise or excessive vibration in the transmission system has become an important factor affecting the normal operation of the unit. To solve this problem, vibration damping and isolation technologies are widely used in the design and operation and maintenance of wind turbines.

[0003] The elastic support of the generator, as an isolation component, aims to reduce the vibration transmitted from the generator assembly to the chassis structure. However, currently, the selection of isolators, position installation, and optimization design of the vibration damping system mainly rely on experience, lacking systematic parameter matching research and analysis calculations for different generator performance parameters. This leads to mismatches between the system and components, and the rubber elastic support cannot effectively play its role, and may even exacerbate the vibration problem.

[0004] In view of the above, how to solve the problem that the current vibration damping and isolation technology of wind turbines relies on empirical selection and installation, lacks systematic matching research and analysis calculations for different generator performance parameters, and has poor vibration damping effect is an urgent problem to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of the present invention is to provide a vibration damping debugging method, device, equipment and medium for a generator to solve the problem that the current vibration damping and isolation technology of wind turbines relies on empirical selection and installation, lacks systematic matching research and analysis calculations for different generator performance parameters, and has poor vibration damping effect.

[0006] To solve the above technical problems, the present invention provides a vibration damping debugging method for a generator, including:

[0007] Obtaining the inertial parameters of the generator system and the dynamic stiffness of the corresponding elastic support in each direction;

[0008] Inputting the inertial parameters and the dynamic stiffness into a pre-constructed dynamic simulation model of the generator elastic support system to output the multi-order natural frequencies of the generator system;

[0009] Evaluating the influence weight values of each dynamic stiffness on each order of the natural frequencies according to each natural frequency and the dynamic stiffness;

[0010] Debugging the elastic support according to each influence weight value.

[0011] On the one hand, obtaining the inertial parameters of the generator system includes:

[0012] Obtain the mass, center-of-mass position, rotational inertia in each direction, and installation position of the elastic support of the generator system through the three-dimensional design software corresponding to the generator system and / or by performing system inertia parameter and structural dynamics tests on the generator system.

[0013] On the other hand, according to each of the natural frequencies and the dynamic stiffness, evaluate the influence weight values of each of the dynamic stiffness on each order of the natural frequencies, including:

[0014] Build a sensitivity analysis process for multiple orders of the natural frequencies and each of the dynamic stiffness based on a simulation optimization engine;

[0015] Based on the sensitivity analysis process, perform experimental design analysis using the Latin hypercube sampling method to obtain a sensitivity relationship matrix diagram between each of the natural frequencies and each of the dynamic stiffness;

[0016] Obtain the influence weight values of each of the dynamic stiffness on each of the natural frequencies according to the sensitivity relationship matrix diagram.

[0017] On the other hand, debug the elastic support according to each of the influence weight values, including:

[0018] Obtain the influence weight values of each of the dynamic stiffness on each of the natural frequencies in the sensitivity relationship matrix diagram;

[0019] Respectively determine whether each influence weight value is greater than a threshold;

[0020] If so, determine the elastic support corresponding to the influence weight value greater than the threshold as the target elastic support, and output a prompt message indicating the replacement of the target elastic support.

[0021] On the other hand, before evaluating the influence weight values of each of the dynamic stiffness on each order of the natural frequencies according to each of the natural frequencies and the dynamic stiffness, after obtaining multiple orders of the natural frequencies of the generator system, it further includes:

[0022] According to each of the natural frequencies and the rated operating conditions of the generator system, determine whether there is a resonance risk in the current generator system;

[0023] If not, enter the step of evaluating the influence weight values of each of the dynamic stiffness on each order of the natural frequencies according to each of the natural frequencies and the dynamic stiffness;

[0024] If so, control the generator system to reduce the load or shut down;

[0025] Output a prompt message indicating the resonance of the generator system.

[0026] On the other hand, if it is confirmed that there is a resonance risk in the current generator system, it further includes:

[0027] Perform a fault diagnosis on the generator system to determine the resonance cause of the generator system;

[0028] Upload the resonance cause to the control center of the generator system.

[0029] On the other hand, it further includes:

[0030] When the replacement of the target elastic support is completed, perform a performance test on the new target elastic support to determine the vibration damping performance of the new target elastic support;

[0031] Judge whether the vibration damping performance of the new target elastic support meets the preset requirements;

[0032] If not, analyze the reason why the vibration damping performance does not meet the preset requirements, and re-adjust the new target elastic support according to the reason, or replace the new target elastic support again;

[0033] If so, end.

[0034] To solve the above technical problems, the present invention also provides a generator vibration damping debugging device, including:

[0035] An acquisition module for acquiring the inertia parameters of the generator system and the dynamic stiffness of the corresponding elastic support in each direction;

[0036] A simulation module for inputting the inertia parameters and the dynamic stiffness into a pre-constructed dynamic simulation model of the generator elastic support system to output the multi-order natural frequencies of the generator system;

[0037] An evaluation module for evaluating the influence weight value of each dynamic stiffness on each order of natural frequency according to each natural frequency and the dynamic stiffness;

[0038] A debugging module for debugging the elastic support according to each influence weight value.

[0039] To solve the above technical problems, the present invention also provides a generator vibration damping debugging device, including:

[0040] A memory for storing a computer program;

[0041] A processor for implementing the steps of the above generator vibration damping debugging method when executing the computer program.

[0042] To solve the above technical problems, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above generator vibration damping debugging method are implemented.

[0043] The generator vibration damping debugging method provided by the present invention includes obtaining the inertial parameters of the generator system and the dynamic stiffness of the corresponding elastic supports in each direction; inputting the inertial parameters and dynamic stiffness into a pre-constructed dynamic simulation model of the generator elastic support system to output the multi-order natural frequencies of the generator system; evaluating the influence weight values of each dynamic stiffness on each natural frequency according to each natural frequency and dynamic stiffness; and debugging the elastic supports according to each influence weight value. The beneficial effect of the present invention is that by pre-building a dynamic simulation model of the generator elastic support system, only by inputting the basic stiffness and inertial parameters of the generator system into the model, the natural frequencies of the system can be quickly calculated, and at the same time, the influence of the stiffness in each direction of the elastic support on each natural frequency of the generator system can be analyzed. Furthermore, it provides guidance for the design selection and evaluation of the elastic support, and for on-site debugging personnel to accurately adjust the stiffness of the elastic support, without relying on manual experience, avoiding resonance of the system at different speeds, and efficiently solving the generator vibration damping requirements and abnormal vibration problems.

[0044] In addition, the present invention also provides a generator vibration damping debugging device, equipment and medium, and the effects are the same as above. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0046] Figure 1 It is a flowchart of a generator vibration damping debugging method provided by an embodiment of the present invention;

[0047] Figure 2 It is a sensitivity relationship matrix diagram provided by an embodiment of the present invention;

[0048] Figure 3 It is a schematic diagram of the distribution position of the elastic support provided by an embodiment of the present invention;

[0049] Figure 4 It is a schematic diagram of a generator vibration damping debugging device provided by an embodiment of the present invention;

[0050] Figure 5 It is a schematic diagram of a generator vibration damping debugging equipment provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.

[0052] The core of the present invention is to provide a generator vibration damping debugging method, device, equipment and medium to solve the problem that the current vibration damping and isolation technology of wind turbines relies on empirical selection and installation, lacks systematic matching research and analysis calculation for different generator performance parameters, and has poor vibration damping effect.

[0053] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0054] With the development trend of the large-scale of wind turbines, the vibration and noise problems of the unit structure are becoming more and more prominent. Since large-scale and large-component characteristics are likely to cause abnormal noises or vibration overlimits in the unit transmission system, which are common faults during the operation of current wind turbines and have become an important factor affecting the normal operation of wind turbines.

[0055] To weaken or eliminate the harmful vibrations of wind turbines, many vibration damping and isolation technologies are applied to the design and later operation and maintenance links of wind turbines. The engine elastic support is an isolation component designed to reduce the vibration transmitted from the generator component to the chassis structure. However, in terms of isolator selection, position installation, and vibration damping system optimization design, it mainly relies on experience, and no systematic parameter matching research and analysis calculation are carried out for different generator performance parameters, resulting in the mismatch between the system and components. The rubber elastic support cannot play an effective role and even causes greater vibration problems. Therefore, to solve the above problems, the present invention provides a generator vibration damping debugging method.

[0056] Figure 1 The flowchart of a generator vibration damping debugging method provided for the embodiments of the present invention. As Figure 1 shown, the method includes:

[0057] S10: Obtain the inertia parameters of the generator system and the dynamic stiffness of the corresponding elastic support in each direction.

[0058] In order to achieve the vibration reduction debugging of the elastic support of the generator, in this embodiment, the inertial parameters of the generator system are first obtained, and the dynamic stiffness of the elastic support of the generator system in each direction is obtained. The inertial parameters are mainly the parameters describing the mass and moment of inertia characteristics of the engine system; in this embodiment, no restrictions are imposed on the specific content and acquisition method of the inertial parameters. The dynamic stiffness of the elastic support refers to the stiffness characteristics of the support for dynamic loads in each direction, including vertical direction stiffness, horizontal direction stiffness, and torsional stiffness. The dynamic stiffness of the elastic support can be directly obtained from the initial design data of the generator.

[0059] S11: Input the inertial parameters and the dynamic stiffness into the pre-constructed dynamic simulation model of the generator elastic support system to output the multi-order natural frequencies of the generator system.

[0060] Furthermore, input the inertial parameters and the dynamic stiffness into the pre-constructed dynamic simulation model of the generator elastic support system to output the multi-order natural frequencies of the generator system.

[0061] It should be noted that the dynamic simulation model of the generator elastic support system is a mathematical model used to simulate and analyze the dynamic behavior of the generator and its elastic support system under various working conditions. This model predicts and evaluates the vibration characteristics, response behavior, and stability of the system by establishing the motion equations and mechanical relationships of the system and using computer simulation technology. Among them, the basic equation for calculating the natural frequency is:

[0062] ;

[0063] Among them, is the system mass matrix, is the system damping matrix, is the system stiffness matrix. is the vector of each degree of freedom in the system, is the velocity of each degree of freedom in the system, is the acceleration of each degree of freedom in the system.

[0064] When there is undamped free vibration (ignoring damping C = 0 and external force F = 0), the above equation is simplified to:

[0065] ;

[0066] Assume the solution is simple harmonic vibration , and substituting it into the equation gives the generalized eigenvalue problem:

[0067] ;

[0068] Solve the characteristic equation , and obtain the eigenvalue , after taking the square root, it is the natural frequency of the system .

[0069] On this basis, the obtained eigenvalues are arranged in ascending order, and the corresponding frequencies are called the 1st order, 2nd order... Nth order natural frequencies. In this embodiment, there is no limit on the order of the natural frequencies output by the model. In some embodiments, it is recommended to obtain the first six orders of natural frequencies, that is, the frequencies corresponding to the six smallest non-zero eigenvalues , and their physical meanings are: the 1st order (fundamental frequency), the vibration mode in which the system is most easily excited; high-order frequencies, the 2nd to 6th orders may correspond to complex vibration forms (such as torsion, high-order bending or combined modes).

[0070] S12: Evaluate the influence weight values of each dynamic stiffness on each order of natural frequencies according to each natural frequency and dynamic stiffness.

[0071] S13: Debug the elastic support according to each influence weight value.

[0072] Finally, according to the obtained natural frequencies and dynamic stiffness, evaluate the influence of each dynamic stiffness on each order of natural frequencies, which is specifically reflected in the influence weight value, so as to facilitate debugging the elastic support according to each influence weight value, including but not limited to adjusting elastic parameters and replacing elastic supports.

[0073] It should be noted that in this embodiment, there is no limit on the evaluation method of the influence weight value of each dynamic stiffness on each order of natural frequencies, nor on the specific process of debugging the elastic support according to each influence weight value, according to the specific implementation situation.

[0074] In this embodiment, by pre-building a dynamic simulation model of the generator elastic support system, only by inputting the basic stiffness and inertia parameters of the generator system into the model, the natural frequency of the system can be quickly calculated, and at the same time, the influence of the stiffness in each direction of the elastic support on each order of natural frequencies of the generator system can be analyzed. Furthermore, it provides guidance for the design selection and evaluation of the elastic support, and accurately provides guidance for on-site debuggers to adjust the stiffness of the elastic support, without relying on manual experience, avoiding resonance of the system at different speeds, and efficiently solving the generator vibration reduction requirements and abnormal vibration problems.

[0075] Based on the above embodiments, in some embodiments, obtain the inertia parameters of the generator system, including:

[0076] S101: Obtain the mass, centroid position, rotational management in each direction and the installation position of the elastic support of the generator system through the three-dimensional design software corresponding to the generator system and / or by performing system inertia parameter and structural dynamics tests on the generator system.

[0077] In specific implementations, to obtain the inertia parameters of the generator system, the inertia parameters of the generator system can be obtained through the corresponding 3D design software of the generator system; the inertia parameters of the generator system can also be obtained by performing system inertia parameter and structural dynamics tests on the generator system.

[0078] Meanwhile, the inertia parameters of the generator system mainly include the mass of the generator system, the position of the center of mass, the rotational management in each direction, and the installation positions of the elastic supports. After obtaining the inertia parameters of the generator system, the dynamic simulation of the generator system can be carried out in combination with the basic stiffness of the generator system to facilitate obtaining the natural frequencies.

[0079] Based on the above embodiments, in some embodiments, to evaluate the influence weight values of each dynamic stiffness on each natural frequency, it includes:

[0080] S121: Build a sensitivity analysis process for multiple natural frequencies and each dynamic stiffness based on the simulation optimization engine;

[0081] S122: Based on the sensitivity analysis process, use the Latin Hypercube Sampling method to perform experimental design analysis to obtain the sensitivity relationship matrix diagram between each natural frequency and each dynamic stiffness;

[0082] S123: Obtain the influence weight values of each dynamic stiffness on each natural frequency according to the sensitivity relationship matrix diagram.

[0083] In specific implementations, to obtain the influence weight values of each dynamic stiffness on each natural frequency, a sensitivity analysis process for multiple natural frequencies and each dynamic stiffness is specifically built based on the simulation optimization engine. The core function of the simulation optimization engine is to automate the simulation process through algorithms, realizing parameter optimization, robustness design, and multi-disciplinary collaborative analysis of complex engineering systems. In this embodiment, there is no limitation on the specific type of the simulation optimization engine used.

[0084] Furthermore, based on the built sensitivity analysis process, use the Latin Hypercube Sampling (LHS) method to perform experimental design analysis (Design of Experiments, DOE) to obtain the sensitivity relationship matrix diagram between each natural frequency and each dynamic stiffness. The Latin Hypercube Sampling method is a stratified sampling method for generating multi-dimensional random samples. It aims to improve the efficiency and accuracy of experimental design or simulation analysis by more evenly covering the parameter space. In this embodiment, there is no limitation on the specific process of performing experimental design analysis based on the Latin Hypercube Sampling method.

[0085] Finally, after completing the DOE analysis, a sensitivity relationship matrix diagram between the design variables and the results is obtained, and the influence weight values of each dynamic stiffness on each natural frequency are obtained according to the sensitivity relationship matrix diagram.

[0086] In summary, the evaluation of the influence weight values of each dynamic stiffness on each natural frequency is realized, so as to accurately debug the elastic support according to the influence weight values in the subsequent steps.

[0087] Based on the above embodiments, in some embodiments, the elastic support is debugged according to each influence weight value, including:

[0088] S131: Obtain the influence weight values of each dynamic stiffness on each natural frequency in the sensitivity relationship matrix diagram;

[0089] S132: Respectively determine whether each influence weight value is greater than the threshold; if so, go to step S133; if not, end;

[0090] S133: Determine the elastic support corresponding to the influence weight value greater than the threshold as the target elastic support, and output a prompt message indicating the replacement of the target elastic support.

[0091] Figure 2 This is the sensitivity relationship matrix diagram provided by the embodiment of the present invention. As Figure 2 shown, the sensitivity relationship matrix diagram contains the influence weight values of each dynamic stiffness on each natural frequency. Among them, the vertical axis is the first six natural frequencies, the horizontal axis is the elastic support stiffness, and the darker the color, the greater the sensitivity (correlation). In order to perform debugging on the elastic support, it is necessary to respectively determine whether each influence weight value is greater than the threshold. In this embodiment, the size of the threshold is not limited. If it is confirmed that the influence weight value is not greater than the threshold, the judgment and debugging process are ended. If it is confirmed that the influence weight value is greater than the threshold, the elastic support corresponding to the influence weight value greater than the threshold is determined as the target elastic support, and a prompt message indicating the replacement of the target elastic support is output, so that the maintenance personnel can replace the target elastic support according to the prompt message. The following is an example:

[0092] Figure 3 This is a schematic diagram of the distribution position of the elastic support provided by the embodiment of the present invention. As Figure 2 and Figure 3 shown, the resonance frequency point of the third natural frequency is mainly affected by the horizontal stiffness of the two elastic supports BU1 and BU4 of the generator diagonal. In the actual on-site transformation verification, these two elastic supports can be replaced with key points. In this way, the precise debugging of the generator elastic support is realized.

[0093] In order to avoid the resonance that has occurred from affecting the normal operation of the generator system, based on the above embodiments, in some embodiments, after obtaining the multiple natural frequencies of the generator system and before evaluating the influence weight values of each dynamic stiffness on each order of natural frequency according to each natural frequency and dynamic stiffness, the following steps are further included:

[0094] S14: Determine whether there is a resonance risk in the current generator system according to each natural frequency and the rated operating condition of the generator system; if not, proceed to step S12; if so, proceed to step S15;

[0095] S15: Control the generator system to reduce the load or shut down;

[0096] S16: Output a prompt message indicating resonance of the generator system.

[0097] Specifically, after obtaining the multiple natural frequencies of the generator system, analyze the excitation frequency under the rated operating condition, compare the natural frequency of the system with the excitation frequency, and check whether there is a situation of being close or coincident. Pay special attention to the relationship between the natural frequency and the rotational excitation frequency and its harmonics. If the natural frequency is close to or coincident with the excitation frequency, the system may have a resonance risk. The magnitude of the resonance risk depends on the degree of frequency proximity, the amplitude of the excitation, and the damping characteristics of the system.

[0098] If it is confirmed that there is no resonance risk, directly evaluate the influence weight values of each dynamic stiffness on each order of natural frequency according to each natural frequency and dynamic stiffness. If it is confirmed that there is a resonance risk, in order to prevent resonance from affecting the safe operation of the generator, it is necessary to control the generator system to reduce the load or shut down, and at the same time output a prompt message indicating resonance of the generator system, so as to prompt the maintenance personnel to handle it in time and ensure the safety of the generator equipment.

[0099] Based on the above embodiments, in some embodiments, if it is confirmed that the current generator system has a resonance risk, the following steps are further included:

[0100] S17: Perform a fault diagnosis on the generator system to determine the resonance cause of the generator system;

[0101] S18: Upload the resonance cause to the control center of the generator system.

[0102] Specifically, to further address the resonance of the generator system, when it is confirmed that there is a resonance risk in the generator system, fault diagnosis of the generator system can be further performed to identify the cause of vibration and take corresponding treatment measures. At the same time, an emergency plan can be formulated so that in the event of a severe vibration problem, measures can be taken promptly to avoid equipment damage or shutdown. Finally, the reason for resonance is uploaded to the control center of the generator system, so that the staff in the control center can timely learn about the current status of the generator system and take corresponding measures to ensure the safe operation of the generator system.

[0103] Based on the above embodiments, in some embodiments, it further includes:

[0104] S19: When the replacement of the target elastic support is completed, perform a performance test on the new target elastic support to determine the vibration damping performance of the new target elastic support;

[0105] S20: Determine whether the vibration damping performance of the new target elastic support meets the preset requirements; if not, proceed to step S21; if so, end;

[0106] S21: Analyze the reason why the vibration damping performance does not meet the preset requirements, and re-adjust the new target elastic support according to the reason, or replace the new target elastic support again.

[0107] In specific implementation, when replacing the target elastic support with resonance impact, to ensure that the new target elastic support meets the usage requirements, it is also necessary to perform a performance test on the new target elastic support to determine the vibration damping performance of the new target elastic support. In this embodiment, there is no limitation on the test method for the vibration damping performance of the new target elastic support.

[0108] Further determine whether the vibration damping performance of the new target elastic support meets the preset requirements; if so, end. If not, analyze the reason why the vibration damping performance does not meet the preset requirements, and re-adjust the new target elastic support according to the reason, or replace the new target elastic support again, so as to ensure that the new target elastic support meets the actual usage requirements of the generator system and ensure the normal operation of the generator system.

[0109] In the above embodiments, the generator vibration damping debugging method is described in detail, and the present invention also provides corresponding embodiments of the generator vibration damping debugging device.

[0110] Figure 4 It is a schematic diagram of a generator vibration damping debugging device provided by an embodiment of the present invention. As Figure 4 shown, the device includes:

[0111] An acquisition module 10, configured to acquire the inertia parameters of the generator system and the dynamic stiffness of the corresponding elastic support in each direction;

[0112] The simulation module 11 is configured to input the inertial parameters and dynamic stiffness into a pre-constructed dynamic simulation model of the generator elastic support system, so as to output the multi-order natural frequencies of the generator system;

[0113] The evaluation module 12 is configured to evaluate the influence weight values of each dynamic stiffness on each order of natural frequencies according to each natural frequency and dynamic stiffness;

[0114] The debugging module 13 is configured to debug the elastic support according to each influence weight value.

[0115] In some embodiments, the acquisition module 10 includes:

[0116] The first acquisition sub-module is configured to acquire the mass, centroid position, rotational management in each direction and the installation position of the elastic support of the generator system through the three-dimensional design software corresponding to the generator system and / or by performing system inertial parameter and structural dynamics tests on the generator system.

[0117] In some embodiments, the evaluation module 12 includes:

[0118] The construction module is configured to build a sensitivity analysis process of multi-order natural frequencies and each dynamic stiffness based on the simulation optimization engine;

[0119] The analysis module is configured to perform experimental design analysis using the Latin hypercube sampling method based on the sensitivity analysis process, so as to obtain a sensitivity relationship matrix diagram between each natural frequency and each dynamic stiffness;

[0120] The second acquisition sub-module is configured to obtain the influence weight values of each dynamic stiffness on each natural frequency according to the sensitivity relationship matrix diagram.

[0121] In some embodiments, the debugging module 13 includes:

[0122] The third acquisition sub-module is configured to obtain the influence weight values of each dynamic stiffness on each natural frequency in the sensitivity relationship matrix diagram;

[0123] The first judgment module is configured to respectively judge whether each influence weight value is greater than a threshold; if so, determine the elastic support corresponding to the influence weight value greater than the threshold as the target elastic support, and output a prompt message indicating to replace the target elastic support.

[0124] In some embodiments, it further includes:

[0125] The second judgment module is configured to judge whether the current generator system has a resonance risk according to each natural frequency and the rated operating condition of the generator system; if not, trigger the evaluation module 12; if so, trigger the control module;

[0126] The control module is configured to control the generator system to reduce the load or shut down;

[0127] A first output module, configured to output a prompt message characterizing the resonance of the generator system.

[0128] In some embodiments, it further includes:

[0129] A fault diagnosis module, configured to perform fault diagnosis on the generator system to determine the resonance cause of the generator system;

[0130] An upload module, configured to upload the resonance cause to the control center of the generator system.

[0131] In some embodiments, it further includes:

[0132] A performance test module, configured to perform a performance test on the new target elastic support when the replacement of the target elastic support is completed to determine the vibration damping performance of the new target elastic support;

[0133] A third judgment module, configured to judge whether the vibration damping performance of the new target elastic support meets the preset requirements; if not, analyze the reasons why the vibration damping performance does not meet the preset requirements, and re - debug the new target elastic support according to the reasons, or replace the new target elastic support again; if so, end.

[0134] Since the embodiments of the device part correspond to the embodiments of the method part, for the embodiments of the device part, please refer to the description of the embodiments of the method part, and will not be elaborated here.

[0135] Figure 5 It is a schematic diagram of a generator vibration damping debugging device provided by an embodiment of the present invention. As Figure 5 shown, the generator vibration damping debugging device includes:

[0136] A memory 20, configured to store a computer program;

[0137] A processor 21, configured to implement the steps of the generator vibration damping debugging method as mentioned in the above - mentioned embodiments when executing the computer program.

[0138] The generator vibration damping debugging device provided by this embodiment may include but is not limited to a smart phone, a tablet computer, a notebook computer, a desktop computer, etc.

[0139] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 may be implemented in at least one hardware form of a Digital Signal Processor (DSP), a Field-Programmable Gate Array (FPGA), and a Programmable Logic Array (PLA). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the wake state, also known as the Central Processing Unit (CPU); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 21 may be integrated with a Graphics Processing Unit (GPU), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may further include an Artificial Intelligence (AI) processor, and the AI processor is used to process computational operations related to machine learning.

[0140] The memory 20 may include one or more computer-readable storage media, and the computer-readable storage media may be non-transitory. The memory 20 may further include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash storage devices. In this embodiment, the memory 20 is at least used to store the following computer program 201. After the computer program is loaded and executed by the processor 21, it can implement the relevant steps of the generator vibration damping debugging method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may further include an operating system 202 and data 203, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 202 may include Windows, Unix, Linux, etc. The data 203 may include, but is not limited to, the data involved in the generator vibration damping debugging method.

[0141] In some embodiments, the generator vibration damping debugging device may further include a display screen 22, an input / output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.

[0142] Those skilled in the art can understand that Figure 5 the structure shown in

[0143] Finally, the present invention also provides an embodiment corresponding to a computer-readable storage medium. A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps recorded in the above method embodiments are implemented.

[0144] It can be understood that if the method in the above embodiments is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in the various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0145] The above has introduced in detail a generator vibration reduction debugging method, device, equipment, and medium provided by the present invention. The various embodiments in the specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other. For the device disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method part. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present invention, several improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the present invention.

[0146] It should also be noted that in this specification, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including", or any other variant thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or device including a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article, or device including the said element.

Claims

1. A generator vibration reduction debugging method, characterized in that: include: Obtain the inertia parameters of the generator system and the dynamic stiffness of the corresponding elastic support in each direction; The inertia parameters and the dynamic stiffness are input into a pre-built dynamic simulation model of the generator elastic support system to output the multi-order natural frequencies of the generator system; the dynamic simulation model of the generator elastic support system predicts and evaluates the vibration characteristics, response behavior and stability of the system by establishing the motion equation and mechanical relationship of the system and using computer simulation technology; the basic equation for calculating the natural frequency is: ； in, is the system mass matrix, is the system damping matrix, is the system stiffness matrix, is the vector for each degree of freedom in the system, is the velocity of each degree of freedom in the system, is the acceleration of each degree of freedom in the system; When there is no damping free vibration, that is, ignoring the damping C=0 and the external force F=0, the above equation is simplified to: ； Assume the solution is simple harmonic oscillation , after substituting into the equation, we get the generalized eigenvalue problem: ； Solving the characteristic equation , and get the eigenvalue , the natural frequency of the system is ; According to each of the natural frequencies and the dynamic stiffness, the weighted value of the influence of each of the dynamic stiffnesses on each order of the natural frequencies is evaluated; wherein, according to each of the natural frequencies and the dynamic stiffness, the weighted value of the influence of each of the dynamic stiffnesses on each order of the natural frequencies is evaluated, including: building a sensitivity analysis process of multiple orders of the natural frequencies and the dynamic stiffnesses based on a simulation optimization engine; based on the sensitivity analysis process, performing experimental design analysis using a Latin hypercube sampling method to obtain a sensitivity relationship matrix diagram between each of the natural frequencies and each of the dynamic stiffnesses; obtaining the weighted value of the influence of each of the dynamic stiffnesses on each of the natural frequencies according to the sensitivity relationship matrix diagram; The elastic support is debugged according to each of the influence weight values.

2. The generator vibration reduction debugging method according to claim 1, characterized in that: Acquiring the inertia parameter of the generator system includes: The mass, center of mass position, rotation management in all directions, and installation position of the elastic support of the generator system are obtained by using the three-dimensional design software corresponding to the generator system and / or by performing system inertia parameter and structural dynamics tests on the generator system.

3. The generator vibration reduction debugging method according to claim 1, characterized in that: Debugging the elastic support according to each of the influence weight values ​​includes: Obtaining the influence weight value of each dynamic stiffness on each natural frequency in the sensitivity relationship matrix diagram; Determine whether each impact weight value is greater than a threshold value; If so, the elastic support corresponding to the influence weight value greater than the threshold is determined as the target elastic support, and prompt information representing replacement of the target elastic support is output.

4. The generator vibration reduction debugging method according to any one of claims 1 to 3, characterized in that: Before evaluating the influence weight value of each dynamic stiffness on each order of the natural frequency according to each natural frequency and the dynamic stiffness, after acquiring the multi-order natural frequencies of the generator system, the method further includes: Judging whether the current generator system has a resonance risk according to each of the natural frequencies and the rated operating condition of the generator system; If not, entering the step of evaluating the influence weight value of each dynamic stiffness on each order of the natural frequency according to each natural frequency and the dynamic stiffness; If yes, control the generator system to reduce load or shut down; Outputting prompt information indicating resonance of the generator system.

5. The generator vibration reduction debugging method according to claim 4, characterized in that: If it is confirmed that the current generator system has a resonance risk, it also includes: performing fault diagnosis on the generator system to determine a cause of resonance of the generator system; The cause of the resonance is uploaded to a control center of the generator system.

6. The generator vibration reduction debugging method according to claim 3, characterized in that: Also includes: When the target elastic support is replaced, a performance test is performed on the new target elastic support to determine the vibration reduction performance of the new target elastic support; Determining whether the vibration reduction performance of the new target elastic support meets the preset requirements; If not, the reason why the vibration reduction performance does not meet the preset requirement is analyzed, and according to the reason, a new target elastic support is debugged again, or a new target elastic support is replaced; If yes, then end.

7. A generator vibration reduction debugging device, characterized in that: include: An acquisition module, used to acquire the inertia parameters of the generator system and the dynamic stiffness of the corresponding elastic support in each direction; A simulation module, used for inputting the inertia parameter and the dynamic stiffness into a pre-built dynamic simulation model of a generator elastic support system to output multiple-order natural frequencies of the generator system; The dynamic simulation model of the generator elastic support system predicts and evaluates the vibration characteristics, response behavior and stability of the system by establishing the system's motion equations and mechanical relationships and using computer simulation technology; the basic equation for natural frequency calculation is: ； in, is the system mass matrix, is the system damping matrix, is the system stiffness matrix, is the vector for each degree of freedom in the system, is the velocity of each degree of freedom in the system, is the acceleration of each degree of freedom in the system; When there is no damping free vibration, that is, ignoring the damping C=0 and the external force F=0, the above equation is simplified to: ； Assume the solution is simple harmonic oscillation , after substituting into the equation, we get the generalized eigenvalue problem: ； Solving the characteristic equation , and get the eigenvalue , the natural frequency of the system is ; An evaluation module, used for evaluating the influence weight value of each dynamic stiffness on each order of the natural frequency according to each natural frequency and the dynamic stiffness; A debugging module, used for debugging the elastic support according to each of the influence weight values; The assessment modules include: Building a module for building a sensitivity analysis process of multiple natural frequencies and dynamic stiffnesses based on the simulation optimization engine; An analysis module is used to perform experimental design analysis based on a sensitivity analysis process using a Latin hypercube sampling method to obtain a sensitivity relationship matrix diagram between each natural frequency and each dynamic stiffness; The second acquisition submodule is used to obtain the influence weight value of each dynamic stiffness on each natural frequency according to the sensitivity relationship matrix diagram.

8. A generator vibration reduction debugging device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the generator vibration reduction debugging method as described in any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the generator vibration reduction debugging method according to any one of claims 1 to 6 are implemented.

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