Method, device and equipment for detecting service life of electric vibration system and medium

Abstract

The invention discloses a service life detection method, device and equipment of an electric vibration system and a medium. The electric vibration system comprises a moving part, and the life detection method comprises the following steps: obtaining an input current of the moving part during operation, and determining an ampere force borne by the moving part according to the input current; determining strain distribution information and stress distribution information of the moving part according to the Ampere force and a finite element analysis method; determining the estimated fatigue life of the moving part according to the strain distribution information, the stress distribution information and the material fatigue parameter of the moving part; and determining a life detection result of the electric vibration system according to the input current, the estimated fatigue life and the operation time of the moving part. According to the life detection method, life detection of the whole electric vibration system can be realized by evaluating the life of the moving part, the method is simple, and the life detection efficiency of the electric vibration system can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vibration systems, and in particular, to a method, device, equipment and medium for detecting the life of an electric vibration system. Background Art

[0002] Electric vibration systems are widely used in fields such as aviation, aerospace, automotive, marine, and construction, and mainly consist of components such as moving parts, excitation coils, table bodies, power amplifiers, vibration controllers, and cooling units.

[0003] Due to the large number of components and complex structure of electric vibration systems, it is very difficult to detect the overall fatigue life of them, and the detection efficiency is low. Summary of the Invention

[0004] The present invention provides a method, device, equipment and medium for detecting the life of an electric vibration system to solve the problem of low detection efficiency of the existing method for detecting the life of an electric vibration system.

[0005] In a first aspect, an embodiment of the present invention provides a method for detecting the life of an electric vibration system, where the electric vibration system includes moving parts, and the life detection method includes:

[0006] Obtain the input current when the moving parts are running, and determine the Ampere force borne by the moving parts according to the input current;

[0007] Determine the strain distribution information and stress distribution information of the moving parts according to the Ampere force and the finite element analysis method;

[0008] Determine the estimated fatigue life of the moving parts according to the strain distribution information, the stress distribution information and the material fatigue parameters of the moving parts;

[0009] Determine the life detection result of the electric vibration system according to the input current, the estimated fatigue life and the running time of the moving parts.

[0010] Optionally, determining the life detection result of the electric vibration system according to the input current, the estimated fatigue life and the running time of the moving parts includes:

[0011] Determine the cumulative fatigue life damage of the moving parts according to the input current, the estimated fatigue life and the running time of the moving parts;

[0012] Determine the life detection result according to the cumulative fatigue life damage.

[0013] Optionally, determining the cumulative fatigue life damage of the moving parts according to the input current, the estimated fatigue life and the running time of the moving parts includes:

[0014] Determine the endurance limit according to the material of the moving part;

[0015] Determine the predicted fatigue life curve of the moving part according to the input current and the predicted fatigue life;

[0016] Determine the relationship between the input current and the cumulative coefficient of the operating duration according to the endurance limit and the predicted fatigue life curve;

[0017] Determine the cumulative fatigue damage of the moving part according to the relationship between the input current and the cumulative coefficient of the operating duration, the input current and the operating time of the moving part.

[0018] Optionally, determine the strain distribution information and the stress distribution information of the moving part according to the Ampere force and the finite element analysis method, including:

[0019] Determine the force boundary condition and the displacement boundary condition of the three-dimensional geometric model of the moving part according to the Ampere force;

[0020] Conduct finite element simulation on the three-dimensional geometric model to obtain the strain distribution information and the stress distribution information.

[0021] Optionally, determine the predicted fatigue life of the moving part according to the strain distribution information, the stress distribution information and the material fatigue parameters of the moving part, including:

[0022] Determine the maximum strain of the moving part according to the strain distribution information, and determine the maximum stress of the moving part according to the stress distribution information;

[0023] Determine the predicted fatigue cycle number of the moving part according to the maximum strain, the maximum stress and the material fatigue parameters of the moving part;

[0024] Determine the predicted fatigue life of the moving part according to the predicted fatigue cycle number and the maximum operating frequency of the moving part.

[0025] Optionally, the material fatigue parameters of the moving part include elastic modulus, fatigue strength coefficient, fatigue plasticity coefficient, fatigue strength index and fatigue plasticity index;

[0026] Determine the predicted fatigue cycle number of the moving part according to the maximum strain, the maximum stress and the material fatigue parameters of the moving part, including:

[0027] Determine the predicted fatigue cycle number of the moving part according to the maximum strain, the maximum stress, the material fatigue parameters of the moving part and the following corresponding relationship:

[0028] ;

[0029] Wherein, represents the maximum strain, represents the maximum stress, represents the elastic modulus, represents the predicted fatigue cycle number, represents the fatigue strength coefficient, represents the fatigue plasticity coefficient, b represents the fatigue strength index, and c represents the fatigue plasticity index;

[0030] Determining the predicted fatigue life of the moving part according to the predicted fatigue cycle number and the maximum operating frequency of the moving part, including:

[0031] Determining the predicted fatigue life of the moving part according to the predicted fatigue cycle number, the maximum operating frequency of the moving part, and the following corresponding relationship:

[0032] ;

[0033] Wherein, represents the predicted fatigue life, represents the maximum operating frequency of the moving part.

[0034] Optionally, determining the Ampere force borne by the moving part according to the input current, including:

[0035] Determining the Ampere force borne by the moving part according to the input current and the following corresponding relationship:

[0036] ;

[0037] Wherein, represents the Ampere force borne by the moving part, represents the magnetic induction intensity, represents the effective length of the wire for transmitting the input current to the moving part, represents the input current.

[0038] In a second aspect, an embodiment of the present invention provides a life detection device for an electric vibration system, which is used to execute the life detection method described in the first aspect. The life detection device includes:

[0039] An Ampere force acquisition unit, configured to acquire the input current when the moving part operates, and determine the Ampere force borne by the moving part according to the input current;

[0040] A finite element analysis unit for determining strain distribution information and stress distribution information of the moving component according to the Ampere force and the finite element analysis method;

[0041] An estimated fatigue life determination unit for determining the estimated fatigue life of the moving component according to the strain distribution information, the stress distribution information and the material fatigue parameters of the moving component;

[0042] A life detection result determination unit for determining the life detection result of the electric vibration system according to the input current, the estimated fatigue life and the running time of the moving component.

[0043] In a third aspect, an embodiment of the present invention provides a life detection device, characterized in that the life detection device includes:

[0044] One or more processors;

[0045] A storage device for storing one or more programs;

[0046] When the one or more programs are executed by the one or more processors, the one or more processors implement the life detection method as described in the first aspect.

[0047] In a fourth aspect, an embodiment of the present invention provides a storage medium, on which a computer program is stored, characterized in that when the computer program is executed by a processor, it implements the life detection method as described in the first aspect.

[0048] The technical solution of the embodiment of the present invention first determines the Ampere force borne by the moving component according to the input current obtained when the moving component is running, then determines the strain distribution information and stress distribution information of the moving component according to the Ampere force borne by the moving component and the finite element analysis method, then determines the estimated fatigue life of the moving component according to the determined strain distribution information, stress distribution information and the material fatigue parameters of the moving component, and finally determines the life detection result of the electric vibration system according to the input current, the estimated fatigue life and the running time of the moving component when the moving component is running, that is, the life detection of the entire electric vibration system can be realized by evaluating the life of the moving component, the method is simple, and it is beneficial to improve the life detection efficiency of the electric vibration system.

[0049] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for the description of 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, without creative efforts, other drawings can be obtained based on these drawings.

[0051] Figure 1 Flow chart of a method for detecting the life of an electric vibration system provided by an embodiment of the present invention;

[0052] Figure 2 Structural schematic diagram of a three-dimensional geometric model of a moving part provided by an embodiment of the present invention;

[0053] Figure 3 Strain distribution diagram of a moving part provided by an embodiment of the present invention;

[0054] Figure 4 Stress distribution diagram of a moving part provided by an embodiment of the present invention;

[0055] Figure 5 Flow chart of another method for detecting the life of an electric vibration system provided by an embodiment of the present invention;

[0056] Figure 6 Stress-life curve of the material of a moving part provided by an embodiment of the present invention;

[0057] Figure 7 Estimated fatigue life curve of a moving part provided by an embodiment of the present invention;

[0058] Figure 8 Flow chart of yet another method for detecting the life of an electric vibration system provided by an embodiment of the present invention;

[0059] Figure 9 Structural schematic diagram of a device for detecting the life of an electric vibration system provided by an embodiment of the present invention;

[0060] Figure 10 Structural schematic diagram of a life detection device provided by an embodiment of the present invention. Detailed implementation manners

[0061] To enable those skilled in the art to better understand the solutions of the present invention, the following clearly and completely describes the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, rather than all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0062] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily limit to those clearly listed steps or units, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices. The orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", etc. is based on the orientation or positional relationship shown in the drawings, and is only used to illustrate the relative positional relationship between each component or component part, and does not particularly limit the specific installation orientation of each component or component part.

[0063] It should be noted that the life detection method of the electric vibration system in the embodiments of the present invention is applicable to the situation where the life detection of the electric vibration system is required. This life detection method can be executed by a life detection device of an electric vibration system. This device can be implemented by software and / or hardware, and is specifically configured in the life detection device. Moreover, the electric vibration system in the embodiments of the present invention includes a moving component. Figure 1 It is a flowchart of a life detection method for an electric vibration system provided by an embodiment of the present invention. Refer to Figure 1 , the life detection method of the electric vibration system in the embodiments of the present invention includes:

[0064] S110. Obtain the input current when the moving component is running, and determine the Ampere force borne by the moving component according to the input current.

[0065] Exemplarily, the life detection device in the embodiments of the present invention can be communicatively connected to a current sensor disposed in the moving component for sensing the input current when the moving component is moving. Furthermore, the input current when the moving component is running can be obtained through this current sensor, and then the Ampere force borne by the moving component can be determined according to the obtained input current.

[0066] As a feasible implementation manner, determining the Ampere force borne by the moving component according to the input current includes:

[0067] Determine the Ampere force borne by the moving component according to the input current and the following corresponding relationship:

[0068] .

[0069] Among them, represents the Ampere force borne by the moving part, represents the magnetic induction intensity, represents the effective length of the wire for transmitting the input current to the moving part, represents the input current.

[0070] It should be noted that the magnetic induction intensity refers to the magnetic flux density perpendicular to the wire in the magnetic field. A Hall element can be used to generate a transverse voltage (Hall voltage V H ) in the magnetic field, and it can be directly measured through the calibration relationship B∝V H . The effective length of the wire for transmitting the input current to the moving part refers to the part of the wire that actually participates in the electromagnetic interaction in the magnetic field, that is, the component of the total wire length in the direction perpendicular to the magnetic field.

[0071] S120. Determine the strain distribution information and stress distribution information of the moving part according to the Ampere force and the finite element analysis method.

[0072] Exemplarily, after obtaining the Ampere force borne by the moving part, the life detection device in the embodiment of the present invention can use the finite element analysis method to obtain the strain distribution information and stress distribution information of the moving part under the action of the Ampere force.

[0073] It should be noted that the basic equation of the finite element analysis is as follows:

[0074] ; .

[0075] Wherein, x, y, and z respectively represent the three directions of the space coordinate system, {σ} is the stress matrix, {ε} is the strain matrix, σ is the normal stress, τ is the shear stress, ε is the normal strain, and γ is the shear strain.

[0076] The relationship between the strain component and the stress component is described by Hooke's law as follows:

[0077] .

[0078] Wherein, μ is the Poisson's ratio, E is the elastic modulus, and G is the shear modulus.

[0079] When performing finite element calculation on the moving part, the Mises stress is used as the calculation result (it should be noted that the maximum strain σmax of the moving part refers to the maximum Mises stress), and its calculation formula is as follows:

[0080] .

[0081] When using finite element software for analysis, applying the load F (i.e., the Ampere force borne by the moving part) and constraints to the moving part can obtain the stress distribution and strain distribution of the moving part. Specifically, in a feasible implementation, the strain distribution information and stress distribution information of the moving part are determined according to the Ampere force and the finite element analysis method, including: determining the force boundary conditions and displacement boundary conditions of the three-dimensional geometric model of the moving part according to the Ampere force; performing finite element simulation on the three-dimensional geometric model to obtain the strain distribution information and stress distribution information.

[0082] Exemplarily, the three-dimensional geometric model established according to the actual moving part is as Figure 2 shown. After adding the force boundary conditions and displacement boundary conditions of the three-dimensional geometric model determined according to the Ampere force borne by the moving part to the three-dimensional geometric model, finite element simulation of the three-dimensional geometric model can obtain the strain distribution diagram of the moving part as shown in Figure 3 and the stress distribution diagram of the moving part as shown in Figure 4 .

[0083] It should be noted that the force boundary condition refers to the magnitude of the Ampere force borne by the moving part, and the displacement boundary condition refers to the moving direction of the moving part under the action of the Ampere force. It can be seen that both the force boundary condition and the displacement boundary condition are related to the Ampere force borne by the moving part. Therefore, the force boundary condition and displacement boundary condition of the three-dimensional geometric model of the moving part can be determined according to the Ampere force borne by the moving part.

[0084] S130. Determine the predicted fatigue life of the moving part according to the strain distribution information, stress distribution information, and material fatigue parameters of the moving part.

[0085] It can be understood that the predicted fatigue life of the moving part refers to the expected number of cycles or time from the start of use to the occurrence of fatigue failure (such as crack initiation or complete fracture) under the action of cyclic loads (alternating stress or strain). The predicted fatigue lives of moving parts made of different materials are also different. The strain distribution information, stress distribution information, and material fatigue parameters of the moving part will all affect the predicted fatigue life of the moving part. The life detection device in the embodiments of the present invention can determine the predicted fatigue life of the moving part according to the strain distribution information, stress distribution information, and material fatigue parameters of the moving part. The embodiments of the present invention consider more influencing factors, so the obtained predicted fatigue life is also relatively accurate.

[0086] S140. Determine the life detection result of the electric vibration system according to the input current, predicted fatigue life, and operating time of the moving part.

[0087] It can be understood that, as a key component of the electric vibration system, the moving part is often the most vulnerable to damage. Therefore, the life of the moving part can be used to evaluate the entire electric vibration system. It can be seen from step S110 to step S130 that different input currents of the moving part will result in different estimated fatigue lives. During actual use, the input current of the moving part will not remain constant all the time, and the running time of the moving part under a certain input current will also vary. Moreover, the estimated fatigue life related to the input current will change with the change of the input current. To improve the accuracy of the life detection result of the electric vibration system, the life detection device in the embodiment of the present invention determines the life detection result of the electric vibration system according to the input current during the operation of the moving part, the estimated fatigue life related to the input current, and the running time of the moving part under different input currents.

[0088] In the technical solution of the embodiment of the present invention, first, the Ampere force borne by the moving part is determined according to the input current obtained during the operation of the moving part. Then, the strain distribution information and stress distribution information of the moving part are determined according to the Ampere force borne by the moving part and the finite element analysis method. Next, the estimated fatigue life of the moving part is determined according to the determined strain distribution information, stress distribution information, and the material fatigue parameters of the moving part. Finally, the life detection result of the electric vibration system can be determined according to the input current during the operation of the moving part, the estimated fatigue life, and the running time of the moving part. That is, the life detection of the entire electric vibration system can be realized by evaluating the life of the moving part. Compared with the existing life detection of the electric vibration system, the method is simple and is beneficial to improving the life detection efficiency of the electric vibration system.

[0089] Figure 5 It is a flowchart of another method for detecting the life of an electric vibration system provided by an embodiment of the present invention. Figure 5 The shown embodiment details how to determine the life detection result of the electric vibration system according to the input current, the estimated fatigue life, and the running time of the moving part. Refer to Figure 5 , the method for detecting the life of the electric vibration system in the embodiment of the present invention includes:

[0090] S210. Obtain the input current during the operation of the moving part, and determine the Ampere force borne by the moving part according to the input current.

[0091] S220. Determine the strain distribution information and stress distribution information of the moving part according to the Ampere force and the finite element analysis method.

[0092] S230. Determine the estimated fatigue life of the moving part according to the strain distribution information, stress distribution information, and the material fatigue parameters of the moving part.

[0093] S240. Determine the cumulative fatigue life damage of the moving part according to the input current, the estimated fatigue life, and the running time of the moving part.

[0094] As a feasible implementation, step S240, which determines the cumulative fatigue life damage of the moving part according to the input current, the estimated fatigue life, and the running time of the moving part, includes:

[0095] Step S241. Determine the endurance limit according to the material of the moving part;

[0096] Exemplarily, the material of the moving part in the embodiment of the present invention can adopt an aluminum alloy material. The stress-life curve of the aluminum alloy material is as Figure 6 shown. After a certain stress level, the curve tends to be horizontal. This stress is called the endurance limit. For example, Figure 6 Y0 in Figure 6 shown. Below this stress, the material can theoretically withstand an infinite number of cycles, and the moving part using this material can also theoretically withstand an infinite number of cycles. However, in fact, under the same number of failure cycles, the stress corresponding to the moving part is not single, but approximately follows a normal distribution.

[0097] Step S242. Determine the estimated fatigue life curve of the moving part according to the input current and the estimated fatigue life;

[0098] Exemplarily, the life detection device in the embodiment of the present invention can obtain an estimated fatigue life curve as Figure 7 shown, with the ratio of the input current to the maximum input current (I / Imax) as the ordinate and the estimated fatigue life of the moving part as the abscissa. This curve can be fitted by multiple discrete points corresponding to the input current and the estimated fatigue life. In other feasible implementation manners, it can also be fitted by the following three formulas:

[0099] ;

[0100] ;

[0101] .

[0102] For the detailed description of each parameter in the above three formulas, please refer to the context and will not be elaborated here.

[0103] Step S243. Determine the relationship between the input current and the cumulative coefficient of the running duration according to the endurance limit and the estimated fatigue life curve;

[0104] It is understandable that when the ratio of the input current of the moving part to the maximum input current (I / Imax) is lower than a certain value, the maximum stress of the moving part is always less than the endurance limit of its material. This magnitude is called the critical magnitude. It can be considered that when the moving part operates below the critical magnitude, the moving part has an infinite service life. At this time, the fatigue damage is accumulated according to the actual working time, and the running time accumulation coefficient below the critical magnitude is set to 1.

[0105] Referring to the figure, taking a moving part made of aluminum alloy material as an example, at the 70% magnitude, that is, when the ratio of the input current to the maximum input current (I / Imax) is 70%, the maximum stress of the moving part, 47.4 MPa < 50 MPa (the endurance limit of aluminum alloy at 99% confidence level). Therefore, it can be determined that the critical magnitude of the moving part in the embodiment of the present invention is 70%. When the system operates below the 70% magnitude, the running time accumulation coefficient is 1. The magnitude range of 0% - 70% is used as the first evaluation interval, and between the magnitudes of 70% - 100%, every 5% magnitude is used as an evaluation interval (including the right end, not including the left end). The calculation formulas for the running time accumulation coefficients of each magnitude are as follows:

[0106] 。

[0107] is the running time accumulation coefficient of the i-th evaluation interval, is the predicted fatigue life corresponding to the right end of the i-th evaluation interval (for example, is the right end of the second evaluation interval, that is, the predicted fatigue life corresponding to the 75% magnitude), is the predicted fatigue life corresponding to the critical magnitude.

[0108] Exemplarily, the relationship between the input current and the running time accumulation coefficient of the moving part made of aluminum alloy material, that is, the relationship between the input current and the running time accumulation coefficient, is shown in Table 1 below.

[0109] Table 1

[0110]

[0111] Step S243: Determine the cumulative fatigue damage of the moving part according to the relationship between the input current and the running time accumulation coefficient, the input current, and the running time of the moving part.

[0112] It should be noted that the cumulative fatigue damage of the moving part satisfies the following formula:

[0113] 。

[0114] Wherein, represents the cumulative fatigue damage of the moving part, It represents the actual running time of the moving part within the i-th evaluation interval.

[0115] Specifically, after determining the magnitude of the input current of the moving part, the running time accumulation coefficient corresponding to the corresponding magnitude can be determined first through the relationship table between the input current and the running time accumulation coefficient, and finally, based on the running time accumulation coefficient corresponding to the corresponding magnitude and the running time of the moving part under this input current, the fatigue life cumulative damage of the moving part under this input current can be determined. By accumulating the fatigue damages of the moving part under each input current during the entire running process, the fatigue life cumulative damage can be obtained. Finally, the fatigue life cumulative damage can be output to the visualization window to monitor the fatigue life cumulative damage of the moving part of the system. The staff can evaluate the working state of the moving part based on the fatigue life cumulative damage when they can see it. Exemplarily, after the moving part runs for 2 hours at the 60% magnitude and then runs for 3 hours at the 72% magnitude, the fatigue life cumulative damage of the moving part at this time is 1×2h + 2×3h = 8h.

[0116] S250. Determine the life detection result according to the fatigue life cumulative damage.

[0117] Figure 8 This is a flowchart of another life detection method for an electric vibration system provided by an embodiment of the present invention. Figure 8 The illustrated embodiment has described in detail how to determine the predicted fatigue life of the moving part according to the strain distribution information, stress distribution information, and material fatigue parameters of the moving part. Refer to Figure 8 The life detection method of the electric vibration system in the embodiment of the present invention includes:

[0118] S310. Obtain the input current when the moving part is running, and determine the Ampere force borne by the moving part according to the input current.

[0119] S320. Determine the strain distribution information and stress distribution information of the moving part according to the Ampere force and the finite element analysis method.

[0120] S330. Determine the maximum strain of the moving part according to the strain distribution information, and determine the maximum stress of the moving part according to the stress distribution information.

[0121] S340. Determine the predicted fatigue cycle times of the moving part according to the maximum strain, maximum stress, and material fatigue parameters of the moving part.

[0122] As a feasible implementation manner, the material fatigue parameters of the moving part include elastic modulus, fatigue strength coefficient, fatigue plasticity coefficient, fatigue strength index, and fatigue plasticity index.

[0123] Determine the estimated fatigue cycle times of the moving part based on the maximum strain, maximum stress, and the material fatigue parameters of the moving part, including:

[0124] Determine the estimated fatigue cycle times of the moving part according to the maximum strain, maximum stress, the material fatigue parameters of the moving part, and the following corresponding relationship:

[0125] 。

[0126] Among them, represents the maximum stress, represents the maximum stress, represents the elastic modulus, represents the estimated fatigue cycle times, represents the fatigue strength coefficient, represents the fatigue plasticity coefficient, b represents the fatigue strength index, and c represents the fatigue plasticity index.

[0127] S350. Determine the estimated fatigue life of the moving part according to the estimated fatigue cycle times and the maximum operating frequency of the moving part.

[0128] As a feasible implementation manner, determine the estimated fatigue life of the moving part according to the estimated fatigue cycle times and the maximum operating frequency of the moving part, including:

[0129] Determine the estimated fatigue life of the moving part according to the estimated fatigue cycle times, the maximum operating frequency of the moving part, and the following corresponding relationship:

[0130] 。

[0131] Among them, represents the estimated fatigue life, represents the maximum operating frequency of the moving part.

[0132] S360. Determine the life detection result of the electric vibration system according to the input current, the estimated fatigue life, and the operating time of the moving part.

[0133] Based on the same inventive concept, an embodiment of the present invention provides a life detection device for an electric vibration system. Figure 9 For the structural schematic diagram of the life detection device for an electric vibration system provided by an embodiment of the present invention, refer to Figure 9 , the life detection device in the embodiment of the present invention includes:

[0134] An ampere force acquisition unit 410, configured to acquire the input current when the moving part operates, and determine the ampere force borne by the moving part according to the input current;

[0135] The finite element analysis unit 420 is configured to determine the strain distribution information and stress distribution information of the moving component according to the Ampere force and the finite element analysis method;

[0136] The predicted fatigue life determination unit 430 is configured to determine the predicted fatigue life of the moving component according to the strain distribution information, stress distribution information, and material fatigue parameters of the moving component;

[0137] The life detection result determination unit 440 is configured to determine the life detection result of the electric vibration system according to the input current, the predicted fatigue life, and the operating time of the moving component.

[0138] The life detection device provided by the embodiments of the present invention can execute the life detection method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0139] Figure 10 The structural schematic diagram of the life detection device 500 that can be used to implement the embodiments of the present invention is shown. The life detection device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The life detection device can also represent various forms of mobile devices, such as, personal digital processors, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0140] As Figure 10 shown, the life detection device 500 includes at least one processor 510, and a memory communicatively connected to the at least one processor 510, such as a read-only memory (ROM) 520, a random access memory (RAM) 530, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 510 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 520 or the computer program loaded from the storage unit 580 into the random access memory (RAM) 530. In the RAM 530, various programs and data required for the operation of the life detection device 500 can also be stored. The processor 510, the ROM 520, and the RAM 530 are connected to each other through a bus 540. The input / output (I / O) interface 550 is also connected to the bus 540.

[0141] Multiple components in the lifespan detection device 500 are connected to the I / O interface 550, including: an input unit 560, such as a keyboard, a mouse, etc.; an output unit 570, such as various types of displays, speakers, etc.; a storage unit 580, such as a magnetic disk, an optical disc, etc.; and a communication unit 590, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 590 allows the lifespan detection device 500 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0142] The processor 510 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 510 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 510 executes the various methods and processes described above, such as the lifespan detection method.

[0143] In some embodiments, the lifespan detection method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 580. In some embodiments, part or all of the computer program can be loaded and / or installed onto the lifespan detection device 500 via the ROM 520 and / or the communication unit 590. When the computer program is loaded into the RAM 530 and executed by the processor 510, one or more steps of the lifespan detection method described above can be executed. Alternatively, in other embodiments, the processor 510 can be configured to execute the lifespan detection method by any other suitable means (e.g., by means of firmware).

[0144] The various embodiments of the systems and technologies described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special or general programmable processor, and can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0145] A computer program for implementing the method of the present invention may be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer programs are executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer programs may be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0146] In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0147] In order to provide interaction with a user, the systems and techniques described herein may be implemented on a life detection device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which the user can provide input to the life detection device. Other kinds of devices may also be used to provide interaction with the user. For example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback). And input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0148] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0149] A computing system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0150] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is imposed herein.

[0151] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for detecting the lifespan of an electric vibration system, the electric vibration system including a moving component, characterized in that, The described life detection method includes: Obtaining the input current when the moving component operates, and determining the Ampere force borne by the moving component based on the input current; Determining the strain distribution information and stress distribution information of the moving component according to the Ampere force and the finite element analysis method; Determining the estimated fatigue life of the moving component according to the strain distribution information, the stress distribution information and the material fatigue parameters of the moving component; Determining the life detection result of the electric vibration system according to the input current, the estimated fatigue life and the operation time of the moving component.

2. The life detection method according to claim 1, wherein Determining the life detection result of the electric vibration system according to the input current, the estimated fatigue life and the operation time of the moving component includes: Determining the cumulative fatigue damage of the fatigue life of the moving component according to the input current, the estimated fatigue life and the operation time of the moving component; Determining the life detection result according to the cumulative fatigue damage of the fatigue life.

3. The life detection method according to claim 2, characterized in that Determining the cumulative fatigue damage of the fatigue life of the moving component according to the input current, the estimated fatigue life and the operation time of the moving component includes: Determining the endurance limit according to the material of the moving component; Determining the estimated fatigue life curve of the moving component according to the input current and the estimated fatigue life; Determining the relationship between the input current and the cumulative coefficient of operation duration according to the endurance limit and the estimated fatigue life curve; Determining the cumulative fatigue damage of the fatigue life of the moving component according to the relationship between the input current and the cumulative coefficient of operation duration, the input current and the operation time of the moving component.

4. The life detection method according to claim 1, wherein Determining the strain distribution information and stress distribution information of the moving component according to the Ampere force and the finite element analysis method includes: Determining the force boundary condition and displacement boundary condition of the three-dimensional geometric model of the moving component according to the Ampere force; Performing finite element simulation on the three-dimensional geometric model to obtain the strain distribution information and the stress distribution information.

5. The life detection method according to claim 1, wherein Determining the estimated fatigue life of the moving component according to the strain distribution information, the stress distribution information and the material fatigue parameters of the moving component includes: Determining the maximum strain of the moving component according to the strain distribution information, and determining the maximum stress of the moving component according to the stress distribution information; Determining the estimated fatigue cycle number of the moving component according to the maximum strain, the maximum stress and the material fatigue parameters of the moving component; Determining the estimated fatigue life of the moving component according to the estimated fatigue cycle number and the maximum working frequency of the moving component.

6. The life detection method according to claim 5, wherein The material fatigue parameters of the moving component include elastic modulus, fatigue strength coefficient, fatigue plasticity coefficient, fatigue strength index and fatigue plasticity index; Determining the estimated fatigue cycle number of the moving component according to the maximum strain, the maximum stress and the material fatigue parameters of the moving component includes: Determining the estimated fatigue cycle number of the moving component according to the maximum strain, the maximum stress, the material fatigue parameters of the moving component and the following corresponding relationship: ； Among them, represents the maximum strain, represents the maximum stress, represents the elastic modulus, represents the predicted number of fatigue cycles, represents the fatigue strength coefficient, represents the fatigue plasticity coefficient, b represents the fatigue strength exponent, and c represents the fatigue plasticity exponent; Determining the estimated fatigue life of the moving part according to the estimated number of fatigue cycles and the maximum operating frequency of the moving part, includes: Determining the estimated fatigue life of the moving part according to the estimated number of fatigue cycles, the maximum operating frequency of the moving part and the following corresponding relationship: ； Among them, represents the predicted fatigue life, represents the maximum operating frequency of the moving part.

7. The life detection method according to claim 1, wherein Determining the Ampere force borne by the moving part according to the input current, includes: Determining the Ampere force borne by the moving part according to the input current and the following corresponding relationship: ； Among them, represents the Ampere force borne by the moving part, represents the magnetic induction intensity, represents the effective length of the wire for transmitting the input current to the moving part, represents the input current.

8. A life detection device for an electric vibration system, which is used to perform the life detection method as described in any one of claims 1-7, characterized in that, The life detection device includes: An Ampere force acquisition unit, configured to acquire the input current when the moving part operates, and determine the Ampere force borne by the moving part according to the input current; A finite element analysis unit, configured to determine the strain distribution information and stress distribution information of the moving part according to the Ampere force and the finite element analysis method; An estimated fatigue life determination unit, configured to determine the estimated fatigue life of the moving part according to the strain distribution information, the stress distribution information and the material fatigue parameters of the moving part; A life detection result determination unit, configured to determine the life detection result of the electric vibration system according to the input current, the estimated fatigue life and the operating time of the moving part.

9. A life detection device, characterized in that, The life detection equipment includes: One or more processors; A storage device, configured to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the life detection method according to any one of claims 1-7.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the life detection method according to any one of claims 1-7.

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