Jump detection precision correction method, processing device, storage medium and computer program product

Abstract

The invention provides a bounce detection precision correction method, a processing device, a storage medium and a computer program product. The method for correcting the bounce detection precision comprises the following steps: acquiring a bounce data set of a limited number of measurement points; obtaining a concentricity angle phase of the to-be-measured position according to the bounce data set; according to the concentricity angle phase, obtaining a bounce data set of a supplementary measurement point; and obtaining a corrected concentricity angle phase according to the bounce data set of the limited number of measurement points and the bounce data set of the supplementary measurement points. According to the correction method for the bounce detection precision, the bounce detection precision of a limited number of measurement points can be improved.

Description

Technical Field

[0001] This invention relates to the field of aero-engine technology, and in particular to a method, processing device, storage medium, and computer program product for correcting the accuracy of runout detection. Background Technology

[0002] During the assembly of aero engines, it is necessary to perform runout detection on the precision planes of the assembly in various complex configurations and conditions to determine the assemblability and the quality after assembly. However, if a fine scanning measurement is to be achieved, different equipment needs to be customized in different sections to meet the runout detection requirements of complex structures. Furthermore, customizing equipment when additional temporary detection points are required is a waste of resources.

[0003] To improve the efficiency and accuracy of engine runout detection, a limited-point measurement method is used in many locations during engine runout detection, such as eight-point measurement. The measurement process involves visually marking eight evenly distributed positions, placing an inductive probe or dial indicator at the designated position, rotating the test piece, and recording the data when the probe reaches the designated position.

[0004] However, due to human factors and the difference between the actual and theoretical angular phases of the measurement points, this measurement method with a limited number of measurement points has errors in the parallelism and concentricity analysis of the measurement results, resulting in poor detection accuracy. Summary of the Invention

[0005] The purpose of this invention is to provide a method, processing device, storage medium, and computer program product for correcting the accuracy of runout detection, which can improve the accuracy of runout detection at a limited number of measurement points.

[0006] One aspect of the present invention provides a method for correcting the accuracy of runout detection, comprising: acquiring a runout dataset of a finite number of measurement points; obtaining a concentricity angle phase of the position to be measured based on the runout dataset; obtaining a runout dataset of supplementary measurement points based on the concentricity angle phase; and obtaining a corrected concentricity angle phase based on the runout dataset of the finite number of measurement points and the runout dataset of the supplementary measurement points.

[0007] In one embodiment, obtaining a finite number of measurement points' jump dataset includes: obtaining the angle of the measurement points and the corresponding jump amplitude as a jump data; obtaining the jump data of a finite number of measurement points to construct a jump dataset.

[0008] In one embodiment, the concentricity angle phase of the position to be measured is obtained based on the bounce dataset, wherein the concentricity angle phase is obtained according to the following relationship:

[0009]

[0010] Where f is the least squares equation, θ i Let P be the angle of the i-th measurement point. i Let be the amplitude of the jump at the i-th measurement point, n be the finite number, r be the radius of the position to be measured, x, y and d be intermediate parameters, t be the concentricity measurement value, and a be the concentricity angle phase.

[0011] In one embodiment, obtaining the runout dataset of the supplementary measurement point based on the concentric angle phase includes: determining the supplementary angle phase of the supplementary measurement point based on the concentric angle phase; and obtaining the supplementary runout data corresponding to the supplementary angle phase as the runout dataset of the supplementary measurement point.

[0012] In one embodiment, determining the supplementary angle phase of the supplementary measurement point based on the concentric angle phase includes: obtaining an angle phase orthogonal to the concentric angle phase based on the concentric angle phase; and determining at least two angle phases orthogonal to the concentric angle phase as supplementary angle phases of the supplementary measurement point.

[0013] In one embodiment, determining at least two angle phases orthogonal to the concentric angle phase as supplementary angle phases for supplementary measurement points includes: determining four angle phases orthogonal to the concentric angle phase as supplementary angle phases for supplementary measurement points.

[0014] In one embodiment, the corrected concentricity angle phase is obtained based on the runout dataset of the finite number of measurement points and the runout dataset of the supplementary measurement points, wherein the corrected concentricity angle phase is obtained according to the following relationship:

[0015]

[0016] Where g is the least squares equation, a i For the supplementary angular phase of the i-th supplementary measurement point, P n+i The supplementary jump amplitude corresponding to the i-th supplementary measurement point is given by n, which is a finite number, r is the radius of the position to be measured, x, y and d are intermediate parameters, gt is the corrected concentricity measurement value, and ga is the corrected concentricity angle phase.

[0017] Another aspect of the present invention provides a processing apparatus for improving the accuracy of jitter detection, comprising: a memory; and a processor connected to the memory and configured to implement a method for correcting the accuracy of jitter detection as described in any of the above embodiments.

[0018] Another aspect of the present invention provides a storage medium for storing non-transitory computer instructions, which, when executed, perform a method for correcting the accuracy of jitter detection as described in any of the above embodiments.

[0019] Another aspect of the present invention provides a computer program product, including a computer program that, when executed by a processor, implements a method for correcting the accuracy of jitter detection as described in any of the above embodiments.

[0020] The method for correcting the accuracy of engine runout detection in this invention, based on the original finite number of measurement points, corrects the runout detection position by adding supplementary measurement points according to the measurement results of the measurement points. This optimizes the runout detection method for a finite number of engine measurement points, further reduces the error of engine runout detection, and improves the detection accuracy and efficiency. Attached Figure Description

[0021] The above and other features, properties and advantages of the present invention will become more apparent from the following description taken in conjunction with the accompanying drawings and embodiments, wherein:

[0022] Figure 1 This is a flowchart illustrating an embodiment of a method for correcting the accuracy of runout detection according to the present invention;

[0023] Figure 2 This is a flowchart illustrating another embodiment of the method for correcting the accuracy of the vibration detection according to the present invention. Detailed Implementation

[0024] Reference will now be made in detail to embodiments of the invention, one or more examples of which are illustrated in the accompanying drawings. Each example is provided to explain the invention and not to limit it. In fact, it will be apparent to those skilled in the art that various modifications and variations may be made to the invention without departing from the scope or spirit thereof. For example, a feature shown or described as part of one embodiment may be used with another embodiment to produce yet another embodiment. Therefore, the invention is intended to cover these modifications and variations that fall within the scope of the appended claims and their equivalents.

[0025] Figure 1 An embodiment of the method for correcting the accuracy of runout detection according to the present invention is shown. The accuracy correction method for runout detection according to the present invention includes steps S100 to S400:

[0026] In step S100, a jump dataset of a finite number of measurement points is obtained.

[0027] In step S200, the concentricity angle phase is obtained based on the bounce dataset.

[0028] In step S300, the runout dataset of the supplementary measurement points is obtained based on the concentricity angle phase.

[0029] In step S400, the corrected concentricity angle phase is obtained based on the runout dataset of a finite number of measurement points and the runout dataset of supplementary measurement points.

[0030] The method for correcting the accuracy of engine runout detection in this invention, based on the original finite number of measurement points, corrects the runout detection position by adding supplementary measurement points according to the measurement results of the measurement points. This optimizes the runout detection method for a finite number of engine measurement points, further reduces the error of engine runout detection, and improves the detection accuracy and efficiency.

[0031] Among them, the concentricity angle phase represents the concentricity of the object being detected in the runout detection, such as the concentricity of the engine rotor assembly.

[0032] In one embodiment, step S100 further includes steps S110 to S120:

[0033] In step S110, the angle of the measurement point and the corresponding runout amplitude are acquired as a runout data set. That is, a runout data set includes the angle of the measurement point and the corresponding runout amplitude, denoted as (θ). i ,P i ), where θ i Let P be the angle of the i-th measurement point. i Let be the amplitude of the jump at the i-th measurement point.

[0034] In step S120, bounce data from a finite number of measurement points are acquired to construct a bounce dataset. This bounce dataset is denoted as:

[0035] {(θ1, P1), (θ2, P2)…(θ n P n )}

[0036] Where n is a finite number, that is, the largest finite number, indicating that the jumping dataset has n jumping data points.

[0037] In one embodiment, the concentricity angle in step S200 is obtained according to equation (1):

[0038]

[0039] Where f is the least squares equation, θ i Let P be the angle of the i-th measurement point. i Let be the amplitude of the jump at the i-th measurement point, n be a finite number, r be the radius of the position to be measured (i.e., the distance between the position to be measured and the rotation center), x, y and d be intermediate parameters, where x is the X-axis coordinate of the eccentricity, y is the Y-axis coordinate of the eccentricity, d is the radius of the position to be measured after fitting, t is the concentricity measurement value, and a is the concentricity angle phase.

[0040] In one embodiment, step S300 further includes steps S310 to S330:

[0041] In step S310, based on the concentric angle phase, the angle phase orthogonal to the concentric angle phase is obtained.

[0042] In step S320, at least two angle phases orthogonal to the concentric angle phase are determined as supplementary angle phases for supplementary measurement points. Extensive data analysis shows that using orthogonal phases for compensation and correction yields better results.

[0043] Furthermore, four angle phases orthogonal to the concentric angle phase can be identified as supplementary angle phases for additional measurement points. If further improvement in accuracy is required, the number of supplementary measurement points can be expanded to four, resulting in even closer results.

[0044] In step S330, supplementary runout data for the corresponding supplementary angle phase is obtained based on the supplementary angle phase, and this data is used as the runout dataset for the supplementary measurement points. The runout dataset for the supplementary measurement points is denoted as:

[0045] {(a+0,P n+1 ), (a+90, P n+2 ), (a+180, P n+3 ), (a+270, P n+4 )}

[0046] In one embodiment, the corrected concentricity angle in step S400 is obtained according to relation (2):

[0047]

[0048] Where g is the least squares equation, a i For the supplementary angular phase of the i-th supplementary measurement point, P n+i The supplementary jump amplitude corresponding to the i-th supplementary measurement point is given by n, which is a finite number, r is the radius of the position to be measured, and x, y and d are intermediate parameters, where x is the X-axis coordinate of the eccentricity, y is the Y-axis coordinate of the eccentricity, d is the radius of the position to be measured after fitting, gt is the corrected concentricity measurement value, and ga is the corrected concentricity angle phase.

[0049] In conjunction with the above embodiments, Figure 2 Another embodiment of the method for correcting the accuracy of runout detection according to the present invention is shown. For example... Figure 2 As shown, the correction method of the present invention includes the following steps:

[0050] In step S110, the angle of the measurement point and the corresponding amplitude of the jump are obtained as a jump data.

[0051] In step S120, bounce data from a limited number of measurement points are obtained to construct a bounce dataset.

[0052] In step S200, the concentricity angle phase is obtained based on the bounce dataset.

[0053] In step S310, based on the concentric angle phase, the angle phase orthogonal to the concentric angle phase is obtained.

[0054] In step S321, four angle phases orthogonal to the concentric angle phase are determined as supplementary angle phases for supplementary measurement points.

[0055] In step S330, supplementary runout data of the corresponding supplementary angle phase is obtained based on the supplementary angle phase, and used as the runout dataset of the supplementary measurement point.

[0056] In step S400, the corrected concentricity angle phase is obtained based on the runout dataset of a finite number of measurement points and the runout dataset of supplementary measurement points.

[0057] The method for correcting the accuracy of runout detection in this invention supplements the original detection points with additional detections. By determining the location of the supplementary data detection points, the location of the supplementary measurement points is determined, and effective verification is carried out through simulation analysis. This improves the accuracy analysis of engine detection, reduces engine research costs, and increases the assembly qualification rate.

[0058] The jitter detection accuracy processing apparatus of the present invention includes a memory and a processor, the processor being connected to the memory and configured to implement the jitter detection accuracy correction method as described in any of the above embodiments.

[0059] The storage medium of the present invention is used to store non-transitory computer instructions, which, when executed, perform a jump detection accuracy correction method as described in any of the above embodiments.

[0060] The computer program product of the present invention includes a computer program. When executed by a processor, the computer program implements a method for correcting the accuracy of jitter detection as described in any of the above embodiments.

[0061] Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible, non-transitory program carrier for execution by a data processing apparatus or for controlling the operation of a data processing apparatus. Alternatively or additionally, the program instructions may be encoded on artificially generated propagation signals, such as machine-generated electrical, optical, or electromagnetic signals, which are generated to encode information and transmit it to a suitable receiving device for execution by the data processing apparatus.

[0062] Computer storage media can be machine-readable storage devices, machine-readable storage substrates, random or serial access memory devices, or combinations thereof.

[0063] Suitable computers for executing computer programs include, for example, general-purpose and / or special-purpose microprocessors, or any other type of central processing unit. Typically, the central processing unit receives instructions and data from read-only memory and / or random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Typically, a computer will also include one or more mass storage devices for storing data, such as disks, magneto-optical disks, or optical disks, or the computer will be operatively coupled to such mass storage devices to receive data from or transfer data to them, or both. However, a computer is not required to have such devices. Furthermore, a computer can be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, to name a few.

[0064] Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media, and memory devices, such as semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., internal hard disks or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. Processors and memory may be supplemented by or incorporated into dedicated logic circuitry.

[0065] While the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the invention. Any variations and modifications can be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention, without departing from the scope of the invention, fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for correcting the accuracy of runout detection, characterized in that, The correction method includes: Obtain a jump dataset from a finite number of measurement points; Based on the jump dataset, the concentricity angle phase of the position to be tested is obtained; Based on the concentric angle phase, the jump data set of the supplementary measurement points is obtained; Based on the runout dataset of the finite number of measurement points and the runout dataset of the supplementary measurement points, the corrected concentricity angle phase is obtained.

2. The correction method as described in claim 1, characterized in that, The acquisition of a finite number of measurement points of jolt data includes: Obtain the angle of the measurement point and the corresponding runout amplitude as a runout data; Obtain bounce data from a limited number of measurement points and construct a bounce dataset.

3. The correction method as described in claim 2, characterized in that, The concentricity angle phase of the position to be measured is obtained based on the jump dataset, wherein the concentricity angle phase is obtained according to the following relationship: Where f is the least squares equation, θ i Let P be the angle of the i-th measurement point. i Let be the amplitude of the jump at the i-th measurement point, n be the finite number, r be the radius of the position to be measured, x, y and d be intermediate parameters, t be the concentricity measurement value, and a be the concentricity angle phase.

4. The correction method as described in claim 2 or 3, characterized in that, The step of obtaining the runout dataset of supplementary measurement points based on the concentric angle phase includes: Based on the concentric angle phase, determine the supplementary angle phase of the supplementary measurement point; Based on the supplementary angle phase, supplementary runout data corresponding to the supplementary angle phase is obtained, which is used as the runout dataset of the supplementary measurement point.

5. The correction method as described in claim 4, characterized in that, The step of determining the supplementary angle phase of the supplementary measurement point based on the concentric angle phase includes: Based on the concentric angle phase, an angle phase orthogonal to the concentric angle phase is obtained; Determine at least two angle phases orthogonal to the aforementioned concentric angle phase as supplementary angle phases for supplementary measurement points.

6. The correction method as described in claim 5, characterized in that, The determination of at least two angular phases orthogonal to the concentric angle phase as supplementary angular phases for supplementary measurement points includes: Four angle phases orthogonal to the aforementioned concentric angle phases are identified as supplementary angle phases for supplementary measurement points.

7. The correction method as described in claim 6, characterized in that, The corrected concentricity angle phase is obtained based on the runout dataset of the finite number of measurement points and the runout dataset of the supplementary measurement points, wherein the corrected concentricity angle phase is obtained according to the following relationship: Where g is the least squares equation, a i For the supplementary angular phase of the i-th supplementary measurement point, P n+i The supplementary jump amplitude corresponding to the i-th supplementary measurement point is given by n, which is a finite number, r is the radius of the position to be measured, x, y and d are intermediate parameters, gt is the corrected concentricity measurement value, and ga is the corrected concentricity angle phase.

8. A processing device for improving the accuracy of runout detection, characterized in that, include: Memory; as well as A processor, connected to the memory, and configured to implement a method for correcting the accuracy of the jitter detection as described in any one of claims 1-7.

9. A storage medium, characterized in that, Used to store non-transitory computer instructions, which, when executed, perform a method for correcting the accuracy of the jitter detection as described in any one of claims 1-7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for correcting the accuracy of the jitter detection as described in any one of claims 1-7.

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