Gear parameter tolerance sensitivity analysis method, system, tester and storage medium

Abstract

The present invention discloses a gear parameter tolerance sensitivity analysis method, system, tester and storage medium, belonging to the field of gear testing. The gear micro-modification parameter tolerance data samples of two meshing gears are obtained, the variance ratio of each gear micro-modification parameter tolerance is obtained by Monte Carlo method, the tolerance influence transmission error weight coefficient of each gear micro-modification parameter tolerance is obtained, the gear micro-modification parameter tolerance sensitivity coefficient of each gear micro-modification parameter tolerance is obtained, and the sensitivity of the gear micro-modification parameter tolerance to the transmission error is analyzed according to the tolerance influence transmission error weight coefficient and the gear micro-modification parameter tolerance sensitivity coefficient. The present invention defines the evaluation index of the gear micro-modification parameter influence transmission error, evaluates the influence of manufacturing tolerance on the actual gear meshing transmission error, and shows the sensitivity of the gear micro-modification parameter tolerance to the transmission error.

Description

Technical Field

[0001] The present invention relates to the field of gear testing, and in particular to a gear parameter tolerance sensitivity analysis method, system, tester and storage medium. Background Art

[0002] With the rapid development of pure electric vehicles, the electric drive system reducer is a key component of the electric drive system assembly of electric vehicles, and the manufacturing accuracy requirements of the electric drive system reducer are getting higher and higher. Among them, the manufacturing accuracy of gear micro-modification is a part that has a greater impact on accuracy. Good gear micro-modification manufacturing accuracy is very helpful for noise, vibration and acoustic roughness control. The existing simulation analysis lacks analysis related to gear micro-modification manufacturing accuracy, and the simulation analysis results ignore the impact of manufacturing tolerances on actual gear meshing, resulting in a certain deviation between the actual gear transmission error and the nominal transmission error of the simulation design. Summary of the invention

[0003] The object of the present invention is to provide a gear parameter tolerance sensitivity analysis method, system, tester and storage medium, which can indicate the sensitivity of the gear micro-modification parameter tolerance to the transmission error.

[0004] In order to achieve the above objectives, the following technical solutions are provided:

[0005] In a first aspect, the present invention provides a gear parameter tolerance sensitivity analysis method, comprising the following steps:

[0006] S1. Obtain gear micro-modification parameter tolerance data samples of two gears meshing with each other;

[0007] S2. Obtain the variance ratio of each gear micro-modification parameter tolerance by Monte Carlo method;

[0008] S3, obtaining the tolerance-influencing transmission error weight coefficient of each gear micro-modification parameter tolerance;

[0009] S4, obtaining gear micro-modification parameter tolerance sensitivity coefficients of various gear micro-modification parameter tolerances;

[0010] S5. According to the tolerance influence transmission error weight coefficient and gear micro-modification parameter tolerance sensitivity coefficient, analyze the sensitivity of gear micro-modification parameter tolerance to transmission error.

[0011] Furthermore, the two meshing gears include working tooth surfaces and non-working tooth surfaces, respectively. The gear micro-modification parameters of the working tooth surfaces and non-working tooth surfaces include the tooth guide modification crowning amount, tooth profile shape deviation, tooth profile modification crowning amount, helix angle shape deviation, tooth top trimming amount and minimum effective tooth top circle diameter. The j-th gear micro-modification parameter of the i-th tooth surface of the two meshing gears is denoted as Vij The gear micro-modification parameter tolerances of the working tooth surface and the non-working tooth surface include the tooth guide modification crowning tolerance, tooth profile shape deviation tolerance, tooth profile modification crowning tolerance, helix angle shape deviation tolerance, tooth top trim tolerance and effective tooth top circle minimum diameter tolerance. The gear micro-modification parameter tolerance of the jth gear of the i-th tooth surface of the two meshing gears is denoted as T ij , where i≤4, j≤6, and i and j are both positive integers.

[0012] Furthermore, the gear micro-modification parameter tolerances of several pairs of meshing gears are selected as data samples. The data samples conform to the normal distribution and the mean of the data samples is defined as is the nominal value of the jth gear micro-modification parameter of the i-th tooth surface, and the standard deviation σ of the data sample is defined as ij is the standard deviation of the micro-modification parameters of the jth gear on the i-th tooth surface.

[0013] Furthermore, under the same working conditions, the control variable method is applied to calculate the transmission error result TE under a single tolerance. ij .

[0014] Furthermore, the error result TE is transmitted ij The maximum absolute value of the difference from the nominal gear transmission error TE0 is defined as the maximum transmission error TE under a single tolerance. ij max ,TE ij max =|TE ij -TE0| max ; Tolerance affects the transmission error weight coefficient Q ij Defined as the maximum transfer error TE under a single tolerance ij max Maximum transfer error TE under single tolerance ij max The ratio of the sum of Tolerance affects the transmission error weight coefficient Q ij The larger the coefficient is, the greater the influence of the tolerance on the transmission error result is; the smaller the coefficient is, the smaller the influence of the tolerance on the transmission error result is.

[0015] Furthermore, the transmission error of all tolerances under the comprehensive influence of a single working condition is calculated by the Monte Carlo method as TE 总 ; The gear micro-modification parameter tolerance sensitivity coefficient S is defined as the tolerance transfer error TE 总 The ratio of the absolute value of the difference between the nominal gear transmission error TE0 under the nominal value of the gear micro-modification parameters and the nominal gear transmission error TE0 under the nominal value of the gear micro-modification parameters, When the gear micro-modification parameter tolerance sensitivity coefficient S is 0, it means that the tolerance is insensitive to the transmission error; when S is 0.5, it means that the tolerance is sensitive to the transmission error; when S is 1, it means that the tolerance is very sensitive to the transmission error.

[0016] In a second aspect, the present invention further provides a gear parameter tolerance sensitivity analysis system, which is used to implement the gear parameter tolerance sensitivity analysis method as described above, comprising:

[0017] A first calculation module is used to obtain gear micro-modification parameter tolerance data samples of two gears meshing with each other;

[0018] The second calculation module is used to obtain the variance ratio of the tolerance of each gear micro-modification parameter by Monte Carlo method;

[0019] The third calculation module is used to obtain the tolerance influence transmission error weight coefficient of each gear micro-modification parameter tolerance;

[0020] A fourth calculation module is used to obtain a gear micro-modification parameter tolerance sensitivity coefficient of each gear micro-modification parameter tolerance;

[0021] The fifth calculation module is used to analyze the sensitivity of the gear micro-modification parameter tolerance to the transmission error based on the tolerance influence transmission error weight coefficient and the gear micro-modification parameter tolerance sensitivity coefficient.

[0022] In a third aspect, the present invention further provides a tester, the tester comprising:

[0023] one or more processors;

[0024] A storage device for storing one or more programs;

[0025] When the one or more programs are executed by the one or more processors, the one or more processors implement the gear parameter tolerance sensitivity analysis method as described above.

[0026] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the gear parameter tolerance sensitivity analysis method as described above.

[0027] Compared with the prior art, the gear parameter tolerance sensitivity analysis method, system, tester and storage medium provided by the present invention are suitable for the electric drive system reducer of a pure electric vehicle. First, a gear micro-modification parameter tolerance data sample of two meshing gears is obtained. Secondly, the variance ratio of each gear micro-modification parameter tolerance is obtained by the Monte Carlo method. Then, the tolerance influence transmission error weight coefficient of each gear micro-modification parameter tolerance is obtained. Then, the gear micro-modification parameter tolerance sensitivity coefficient of each gear micro-modification parameter tolerance is obtained. Finally, according to the tolerance influence transmission error weight coefficient and the gear micro-modification parameter tolerance sensitivity coefficient, the sensitivity of the gear micro-modification parameter tolerance to the transmission error is analyzed. The present invention takes into account the influence of gear micro-modification manufacturing tolerance on the gear micro-modification amount, defines the evaluation index of gear micro-modification parameters affecting transmission error, evaluates the influence of manufacturing tolerance on actual gear meshing transmission error, shows the sensitivity of gear micro-modification parameter tolerance to transmission error, reduces the deviation between the actual gear transmission error and the nominal transmission error of the simulation design, and improves the accuracy of simulation analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A flow chart of a gear parameter tolerance sensitivity analysis method provided in Embodiment 1 of the present invention;

[0029] Figure 2 This is a schematic diagram of the structure of a tester provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0030] In order to make the technical problems solved by the present invention, the technical solutions adopted and the technical effects achieved clearer, the technical solutions of the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0031] Embodiment 1

[0032] Figure 1 The flowchart of the gear parameter tolerance sensitivity analysis method provided in this embodiment is as follows: Figure 1 As shown, the gear parameter tolerance sensitivity analysis method includes the following steps:

[0033] S1. Obtain gear micro-modification parameter tolerance data samples of two gears meshing with each other;

[0034] S2. Obtain the variance ratio of each gear micro-modification parameter tolerance by Monte Carlo method;

[0035] S3, obtaining the tolerance-influencing transmission error weight coefficient of each gear micro-modification parameter tolerance;

[0036] S4, obtaining gear micro-modification parameter tolerance sensitivity coefficients of various gear micro-modification parameter tolerances;

[0037] S5. According to the tolerance influence transmission error weight coefficient and gear micro-modification parameter tolerance sensitivity coefficient, analyze the sensitivity of gear micro-modification parameter tolerance to transmission error.

[0038] Furthermore, the two meshing gears include working tooth surfaces and non-working tooth surfaces, respectively. The gear micro-modification parameters of the working tooth surfaces and non-working tooth surfaces include the tooth guide modification crowning amount, tooth profile shape deviation, tooth profile modification crowning amount, helix angle shape deviation, tooth top trimming amount and minimum effective tooth top circle diameter, respectively. There are 4 cases of gear tooth surfaces, 6 cases of gear micro-modification parameters, and 24 cases of gear micro-modification parameter permutations of the two meshing gears. The j-th gear micro-modification parameter of the i-th tooth surface of the two meshing gears is denoted as V ij The gear micro-modification parameter tolerances of the working tooth surface and the non-working tooth surface include the tooth guide modification crowning tolerance, tooth profile shape deviation tolerance, tooth profile modification crowning tolerance, helix angle shape deviation tolerance, tooth tip trim tolerance and effective tooth tip circle minimum diameter tolerance. There are 4 cases of gear tooth surface, 6 cases of gear micro-modification parameter tolerances, and 24 cases of gear micro-modification parameter tolerances of two meshing gears. The jth gear micro-modification parameter tolerance of the i-th tooth surface of the two meshing gears is denoted as T ij , where i≤4, j≤6, and i and j are both positive integers.

[0039] Furthermore, the gear micro-modification parameter tolerances of several pairs of meshing gears are selected as data samples. The data samples are sufficient and meet the statistical law, that is, the data samples conform to the normal distribution. The mean of the data samples is defined as is the nominal value of the jth gear micro-modification parameter of the i-th tooth surface, and the standard deviation σ of the data sample is defined as ij is the standard deviation of the jth gear micro-modification parameter of the i-th tooth surface. Usually, the 6σ standard deviation covers 99.73% of the samples, so the standard deviation is equal to Tolerance / 3. For example, the tolerance of the crowning of the tooth profile of the active gear in the meshing gear is + / -6, so the standard deviation is defined as 6 / 3=2.

[0040] Furthermore, under the same working condition, a single gear micro-modification parameter is regarded as a variable, and the control variable method is used to calculate the transmission error result TE under a single tolerance. ij .

[0041] Furthermore, the error result TE is transmitted ij The maximum absolute value of the difference from the nominal gear transmission error TE0 is defined as the maximum transmission error TE under a single tolerance. ij max ,TE ij max =|TE ij -TE0| max ; Tolerance affects the transmission error weight coefficient Q ij Defined as the maximum transfer error TE under a single tolerance ij max Maximum transfer error TE under single tolerance ij max The ratio of the sum of Tolerance affects the transmission error weight coefficient Q ij The larger the coefficient is, the greater the influence of the tolerance on the transmission error result is; the smaller the coefficient is, the smaller the influence of the tolerance on the transmission error result is.

[0042] Furthermore, the transmission error of all tolerances under the comprehensive influence of a single working condition is calculated by the Monte Carlo method as TE 总 ; The gear micro-modification parameter tolerance sensitivity coefficient S is defined as the tolerance transfer error TE 总 The ratio of the absolute value of the difference between the nominal gear transmission error TE0 under the nominal value of the gear micro-modification parameters and the nominal gear transmission error TE0 under the nominal value of the gear micro-modification parameters, When the gear micro-modification parameter tolerance sensitivity coefficient S is 0, it means that the tolerance is insensitive to the transmission error; when S is 0.5, it means that the tolerance is sensitive to the transmission error; when S is 1, it means that the tolerance is very sensitive to the transmission error.

[0043] The gear parameter tolerance sensitivity analysis method provided in this embodiment takes into account the influence of gear micro-modification manufacturing tolerance on the gear micro-modification amount, defines the evaluation index of the gear micro-modification parameter affecting the transmission error, evaluates the influence of manufacturing tolerance on the actual gear meshing transmission error, shows the sensitivity of the gear micro-modification parameter tolerance to the transmission error, reduces the deviation between the actual gear transmission error and the nominal transmission error of the simulation design, and improves the accuracy of the simulation analysis results.

[0044] Embodiment 2

[0045] This embodiment provides a gear parameter tolerance sensitivity analysis system, which can be applied to the electric drive system reducer of pure electric vehicles. The gear parameter tolerance sensitivity analysis system provided by the embodiment of the present invention can execute the gear parameter tolerance sensitivity analysis method provided by the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0046] The gear parameter tolerance sensitivity analysis system includes:

[0047] A first calculation module is used to obtain gear micro-modification parameter tolerance data samples of two gears meshing with each other;

[0048] The second calculation module is used to obtain the variance ratio of the tolerance of each gear micro-modification parameter by Monte Carlo method;

[0049] The third calculation module is used to obtain the tolerance influence transmission error weight coefficient of each gear micro-modification parameter tolerance;

[0050] A fourth calculation module is used to obtain a gear micro-modification parameter tolerance sensitivity coefficient of each gear micro-modification parameter tolerance;

[0051] The fifth calculation module is used to analyze the sensitivity of the gear micro-modification parameter tolerance to the transmission error based on the tolerance influence transmission error weight coefficient and the gear micro-modification parameter tolerance sensitivity coefficient.

[0052] The gear parameter tolerance sensitivity analysis system provided in this embodiment takes into account the influence of gear micro-modification manufacturing tolerance on the gear micro-modification amount, defines the evaluation index of the gear micro-modification parameter influence on the transmission error, evaluates the influence of manufacturing tolerance on the actual gear meshing transmission error, shows the sensitivity of the gear micro-modification parameter tolerance to the transmission error, reduces the deviation between the actual gear transmission error and the nominal transmission error of the simulation design, and improves the accuracy of the simulation analysis results.

[0053] Embodiment 3

[0054] Figure 2 It is a schematic diagram of the structure of the tester in this embodiment. Figure 2 A block diagram of an exemplary tester 412 suitable for use in implementing embodiments of the present invention is shown. Figure 2 The tester 412 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0055] like Figure 2 As shown, the tester 412 is in the form of a general terminal. The components of the tester 412 may include, but are not limited to: a tester body (not shown), one or more processors 416, a storage device 428, and a bus 418 connecting different system components (including the storage device 428 and the processor 416).

[0056] Bus 418 represents one or more of several types of bus structures, including a storage device bus or storage device controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. For example, these architectures include but are not limited to Industry Subversive Alliance (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnect (PCI) bus.

[0057] The tester 412 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the tester 412, including volatile and non-volatile media, removable and non-removable media.

[0058] The storage device 428 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 430 and / or cache memory 432. The tester 412 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 434 may be used to read and write non-removable, non-volatile magnetic media ( Figure 2 not shown, usually called a "hard drive"). Although Figure 2 Not shown in the figure, a disk drive for reading and writing a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing a removable non-volatile optical disk, such as a read-only optical disk (Compact Disc Read-Only Memory, CD-ROM), a digital video disk (Digital Video Disc-Read Only Memory, DVD-ROM) or other optical media) may be provided. In these cases, each drive may be connected to the bus 418 via one or more data medium interfaces. The storage device 428 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0059] A program / utility 440 having a set (at least one) of program modules 442 may be stored, for example, in storage device 428, such program modules 442 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. Program modules 442 generally perform the functions and / or methods of the embodiments described herein.

[0060] The tester 412 may also communicate with one or more external devices 414 (e.g., a keyboard, a pointing terminal, a display 424, etc.), one or more terminals that enable a user to interact with the tester 412, and / or any terminal that enables the tester 412 to communicate with one or more other computing terminals (e.g., a network card, a modem, etc.). Such communication may be performed through an input / output (I / O) interface 422. Furthermore, the tester 412 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 420. Figure 2 As shown, the network adapter 420 communicates with other modules of the tester 412 via the bus 418. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the tester 412, including but not limited to: microcode, terminal drivers, redundant processors, external disk drive arrays, disk arrays (Redundant Arrays of Independent Disks, RAID) systems, tape drives, and data backup storage systems.

[0061] The processor 416 executes various functional applications and data processing by running the program stored in the storage device 428, such as implementing the gear parameter tolerance sensitivity analysis method provided in the embodiment of the present invention, which includes the following steps:

[0062] S1. Obtain gear micro-modification parameter tolerance data samples of two gears meshing with each other;

[0063] S2. Obtain the variance ratio of each gear micro-modification parameter tolerance by Monte Carlo method;

[0064] S3, obtaining the tolerance-influencing transmission error weight coefficient of each gear micro-modification parameter tolerance;

[0065] S4, obtaining gear micro-modification parameter tolerance sensitivity coefficients of various gear micro-modification parameter tolerances;

[0066] S5. According to the tolerance influence transmission error weight coefficient and gear micro-modification parameter tolerance sensitivity coefficient, analyze the sensitivity of gear micro-modification parameter tolerance to transmission error.

[0067] Embodiment 4

[0068] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, a gear parameter tolerance sensitivity analysis method provided in an embodiment of the present invention is implemented. The method includes the following steps:

[0069] S1. Obtain gear micro-modification parameter tolerance data samples of two gears meshing with each other;

[0070] S2. Obtain the variance ratio of each gear micro-modification parameter tolerance by Monte Carlo method;

[0071] S3, obtaining the tolerance-influencing transmission error weight coefficient of each gear micro-modification parameter tolerance;

[0072] S4, obtaining gear micro-modification parameter tolerance sensitivity coefficients of various gear micro-modification parameter tolerances;

[0073] S5. According to the tolerance influence transmission error weight coefficient and gear micro-modification parameter tolerance sensitivity coefficient, analyze the sensitivity of gear micro-modification parameter tolerance to transmission error.

[0074] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0075] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0076] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0077] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or terminal. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0078] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A gear parameter tolerance sensitivity analysis method, characterized in that: The following steps are involved: S1. Obtain gear micro-modification parameter tolerance data samples of two gears meshing with each other; S2. Obtain the variance ratio of each gear micro-modification parameter tolerance by Monte Carlo method; S3, obtaining the tolerance-influencing transmission error weight coefficient of each gear micro-modification parameter tolerance; S4, obtaining gear micro-modification parameter tolerance sensitivity coefficients of various gear micro-modification parameter tolerances; S5. Analyze the sensitivity of the gear micro-modification parameter tolerance to the transmission error based on the tolerance influence transmission error weight coefficient and the gear micro-modification parameter tolerance sensitivity coefficient; The nominal gear transmission error TE0 at the nominal value of the gear micro-modification parameters under a single working condition is calculated by the shaft gear simulation software; Under the same working conditions, the control variable method is used to calculate the transmission error result TE under a single tolerance ij ; The error result TE will be transmitted ij The maximum absolute value of the difference from the nominal gear transmission error TE0 is defined as the maximum transmission error TE under a single tolerance. ijmax ,TE ijmax =|TE ij -TE0| max ; Tolerance affects the transmission error weight coefficient Q ij Defined as the maximum transfer error TE under a single tolerance ijmax Maximum transfer error TE under single tolerance ijmax The ratio of the sum of The n represents the total number of tooth surface conditions of the two gears meshing with each other, and the m represents the total number of gear micro-modification parameters of the two gears meshing with each other; Tolerance affects the transmission error weight coefficient Q ij The larger the coefficient is, the greater the influence of the tolerance on the transmission error result is; the smaller the coefficient is, the smaller the influence of the tolerance on the transmission error result is; The transmission error of all tolerances under the comprehensive influence of a single working condition is calculated by the Monte Carlo method as TE 总 ; The gear micro-modification parameter tolerance sensitivity coefficient S is defined as the tolerance transfer error TE 总 The ratio of the absolute value of the difference between the nominal gear transmission error TE0 under the nominal value of the gear micro-modification parameters and the nominal gear transmission error TE0 under the nominal value of the gear micro-modification parameters, 2. The gear parameter tolerance sensitivity analysis method according to claim 1, characterized in that: The two meshing gears include working tooth surfaces and non-working tooth surfaces respectively. The gear micro-modification parameters of the working tooth surfaces and non-working tooth surfaces include the tooth guide modification crowning amount, tooth profile shape deviation, tooth profile modification crowning amount, helix angle shape deviation, tooth top trimming amount and the minimum effective tooth top circle diameter. The j-th gear micro-modification parameter of the i-th tooth surface of the two meshing gears is denoted as V ij The gear micro-modification parameter tolerances of the working tooth surface and the non-working tooth surface include the tooth guide modification crowning tolerance, tooth profile shape deviation tolerance, tooth profile modification crowning tolerance, helix angle shape deviation tolerance, tooth top trim tolerance and effective tooth top circle minimum diameter tolerance. The gear micro-modification parameter tolerance of the jth gear of the i-th tooth surface of the two meshing gears is denoted as T ij , where i≤4, j≤6, and i and j are both positive integers.

3. The gear parameter tolerance sensitivity analysis method according to claim 2, characterized in that: Select the gear micro-modification parameter tolerances of several pairs of meshing gears as data samples. The data samples conform to the normal distribution and define the mean of the data samples. is the nominal value of the jth gear micro-modification parameter of the i-th tooth surface, and the standard deviation σ of the data sample is defined as ij is the standard deviation of the micro-modification parameters of the jth gear on the i-th tooth surface.

4. The gear parameter tolerance sensitivity analysis method according to any one of claim 1, characterized in that: When the gear micro-modification parameter tolerance sensitivity coefficient S is 0, it means that the tolerance is insensitive to the transmission error; When S is 0.5, it means that the tolerance affects the transmission error sensitively; When S is 1, it means that the tolerance is very sensitive to the transmission error.

5. A gear parameter tolerance sensitivity analysis system, characterized in that: A gear parameter tolerance sensitivity analysis method for implementing any one of claims 1 to 4, comprising: A first calculation module is used to obtain gear micro-modification parameter tolerance data samples of two gears meshing with each other; The second calculation module is used to obtain the variance ratio of the tolerance of each gear micro-modification parameter by Monte Carlo method; The third calculation module is used to obtain the tolerance influence transmission error weight coefficient of each gear micro-modification parameter tolerance; A fourth calculation module is used to obtain a gear micro-modification parameter tolerance sensitivity coefficient of each gear micro-modification parameter tolerance; The fifth calculation module is used to analyze the sensitivity of the gear micro-modification parameter tolerance to the transmission error based on the tolerance influence transmission error weight coefficient and the gear micro-modification parameter tolerance sensitivity coefficient.

6. A tester, characterized in that: The tester comprises: one or more processors; A storage device for storing 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 gear parameter tolerance sensitivity analysis method as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the gear parameter tolerance sensitivity analysis method as described in any one of claims 1 to 4 is implemented.

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