CN117288383A - Machine static and dynamic balance optimization test method based on data analysis - Google Patents

Machine static and dynamic balance optimization test method based on data analysis Download PDF

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Publication number
CN117288383A
CN117288383A CN202311568707.8A CN202311568707A CN117288383A CN 117288383 A CN117288383 A CN 117288383A CN 202311568707 A CN202311568707 A CN 202311568707A CN 117288383 A CN117288383 A CN 117288383A
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machine
machine sample
detection
value
dynamic
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CN117288383B (en
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施建保
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Nantong Jinbao Machinery Manufacturing Co ltd
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Nantong Jinbao Machinery Manufacturing Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M1/00Testing static or dynamic balance of machines or structures
    • G01M1/14Determining imbalance
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M1/00Testing static or dynamic balance of machines or structures
    • G01M1/02Details of balancing machines or devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M1/00Testing static or dynamic balance of machines or structures
    • G01M1/30Compensating imbalance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Graphics (AREA)
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  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Testing Of Balance (AREA)

Abstract

The invention discloses a machine static and dynamic balance optimization test method based on data analysis, which comprises the steps of obtaining three-dimensional information of a machine sample, and positioning the machine sample in an installation inner ring according to the three-dimensional information; determining an initial influence factor of a machine sample by acquiring information of detection pieces arranged on each position of a support outer ring; and controlling the machine sample to keep normal operation, recording dynamic information values of the machine sample of each detection piece arranged on the support outer ring, and storing the dynamic information values of the machine sample into the storage module. According to the machine static and dynamic balance optimization test method based on data analysis, the shaking force of different directions of a machine is detected by utilizing the detection pieces arranged at different directions on the supporting outer ring, interval detection is adopted in the detection process, the calculated compensation value is improved to be more towards the correct value by eliminating the initial influence factor, and the calculated compensation value of different directions is used for conveniently realizing the dynamic and static balance optimization of the machine in the later stage.

Description

Machine static and dynamic balance optimization test method based on data analysis
Technical Field
The invention relates to the technical field of static and dynamic balance of machines, in particular to a machine static and dynamic balance optimization test method based on data analysis.
Background
The machine is a device which is composed of metal or other materials and assembled by a plurality of parts, can complete functions or effects such as production, processing, operation and the like under the drive of one or more types of power, and for the integral machine equipment, the device is an organic whole composed of a plurality of machine equipment for realizing a certain function, and in the advancing process of the advancing machine, the machine is required to be kept in a balanced state, and the driving parts are important component parts in the machine equipment;
in the motion process of the driving part, certain vibration can be generated, the machine balance operation can be influenced, the service life of the machine is influenced, dynamic and static balance test optimization of the driving part is required to be carried out in order to reduce the influence of the driving part on the machine balance operation, a conventional dynamic and static balance test mode cannot well detect vibration tests in all directions, the calculated test value and the calculated true value have larger deviation, and the follow-up machine static and dynamic balance optimization is influenced.
Aiming at the existing problems, innovation is urgently needed on the basis of the original technology.
Disclosure of Invention
The invention aims to provide a static and dynamic balance optimization test method for a machine based on data analysis, which aims to solve the problems that in the prior art, a driving part generates certain vibration in the motion process, so that the balance operation of the machine is influenced, the service life of the machine is influenced, the dynamic and dynamic balance test optimization of the driving part is required to be carried out in order to reduce the influence of the driving part on the balance operation of the machine, the vibration test in all directions cannot be well detected by a conventional dynamic and dynamic balance test mode, so that the calculated test value has larger deviation from the true value, and the static and dynamic balance optimization of the subsequent machine is influenced.
In order to achieve the above purpose, the present invention provides the following technical solutions: a machine static and dynamic balance optimization test method based on data analysis comprises the following steps:
acquiring three-dimensional information of a machine sample, and positioning the machine sample in an installation inner ring according to the three-dimensional information;
determining an initial influence factor of a machine sample by acquiring information of detection pieces arranged on each position of a support outer ring;
controlling a machine sample to keep normal operation, recording dynamic information values of the machine sample of each detection piece arranged on the support outer ring, and storing the dynamic information values of the machine sample into a storage module;
and acquiring dynamic information and initial influence factors in the storage module, integrating the dynamic information values and the initial influence factors, determining a machine sample compensation value, and carrying out balance optimization on the machine sample according to the machine sample compensation value.
As an alternative to the data analysis-based machine static-dynamic balance optimization test method of the present invention, the method comprises: the three-dimensional information acquisition of the machine sample comprises:
acquiring the longest width, the longest height and the longest length of a machine sample;
establishing a scanning cube according to the longest width, the longest length and the longest height of the machine sample;
taking six faces of the scanning cube as three-dimensional information acquisition faces of the machine sample, and acquiring the three-dimensional information of the machine sample by using scanning equipment to manufacture a three-dimensional model of the machine sample;
and determining the gravity center area of the machine sample according to the three-dimensional model of the machine sample.
As an alternative to the data analysis-based machine static-dynamic balance optimization test method of the present invention, the method comprises: the telescopic distance of the hydraulic mechanism is regulated and controlled by acquiring a gravity center area of a machine sample;
the regulation and control of the hydraulic mechanism comprises:
placing the machine sample between two clamping and positioning plates at two sides, and moving the machine sample through a hydraulic mechanism connected with the clamping and positioning plates at two sides;
and finally controlling the center-of-gravity area of the machine sample to fall into the center of the circle of the installation inner ring.
As an alternative to the data analysis-based machine static-dynamic balance optimization test method of the present invention, the method comprises: the initial impact factor acquisition of the machine sample includes:
acquiring a pressure sensor value arranged on a detection piece;
the detection pieces arranged on the support outer ring are named as a first detection mechanism, a second detection mechanism, a third detection mechanism, a fourth detection mechanism … … and an eighth detection mechanism according to the azimuth;
respectively acquiring values of a first detection mechanism, a second detection mechanism, a third detection mechanism, a fourth detection mechanism … … and an eighth detection mechanism, and naming the acquired values of the first detection value, the second detection value, the third detection value … … and the eighth detection value as C1, C2 and C3 … … C8, wherein C1, C2 and C3 … … C8 are initial influence factors;
while C1, C2, C3 … … C8 are stored into the memory module.
As an alternative to the data analysis-based machine static-dynamic balance optimization test method of the present invention, the method comprises: controlling the machine sample to keep an operating state, and acquiring the numerical values of the first detection mechanism, the second detection mechanism, the third detection mechanism … … and the eighth detection mechanism under the operating state again;
the acquisition of the values in the running state is performed by adopting interval acquisition, the acquired first detection mechanism value in the running state, the second detection mechanism value in the running state and the eighth detection mechanism value in the running state of the third detection mechanism value … … in the running state are named as A1, A2 and A3 … … A8, and the whole of A1, A2 and A3 … … A8 is the dynamic information value of the machine sample;
namely a1= { X1.1, Y1.2, Z1.3 … … r1.I }, a2= { X2.1, Y2.2, Z2.3 … … r2.I }, a3= { X3.1, Y3.2, Z3.3 … … r3.I } … … a8= { X8.1, Y8.2, Z8.3 … … r8.I };
the method comprises the steps of obtaining a machine sample dynamic elimination value through integrating a machine sample dynamic information value and an initial influence factor value, and storing the machine sample dynamic elimination value into a storage module;
machine sample dynamic elimination value = machine sample dynamic information value-initial impact factor.
As an alternative to the data analysis-based machine static-dynamic balance optimization test method of the present invention, the method comprises: obtaining a machine sample dynamic elimination value in a storage module, calculating a machine sample average dynamic elimination value, and naming the machine sample average dynamic elimination values of detection pieces in different directions as DJ1, DJ2 and DJ3 … … DJ8;
and storing DJ1, DJ2, DJ3 … … DJ8 into the memory module.
As an alternative to the data analysis-based machine static-dynamic balance optimization test method of the present invention, the method comprises: the hydraulic mechanism is controlled to drive the clamping and positioning plate to move, so that the clamping and positioning of the machine sample is released;
turning over the machine sample by 180 degrees, and controlling the hydraulic mechanism to drive the clamping and positioning plate to position the gravity center area of the machine sample at the circle center of the mounting inner ring;
at the moment, mirror image inversion is carried out on the detection pieces arranged on the support outer ring, namely the first detection piece and the first detection piece are exchanged, the fifth detection piece and the seventh detection piece are exchanged, and the sixth detection piece and the eighth detection piece are exchanged;
obtaining an average dynamic elimination value of a reverse machine sample by executing the machine static and dynamic balance optimization test method based on data analysis as set forth in claims 4-6, and naming the average dynamic elimination value of the reverse machine sample as DR1, DR2, DR3 … … DR8, and simultaneously storing DR1, DR2, DR3 … … DR8 into a storage module;
the average dynamic elimination value of the machine sample and the dynamic elimination value of the reverse machine sample in the storage module are obtained, and the average value of the machine sample and the reverse machine sample is obtained;
machine sample comparison mean=/2.
As an alternative to the data analysis-based machine static-dynamic balance optimization test method of the present invention, the method comprises: the outer shell of the machine sample is fixed on the side of the supporting outer ring through a mounting mechanism, and the output shaft of the machine sample is positioned at the center of the mounting inner ring;
the clamping and positioning plate is driven to move by controlling the hydraulic mechanism, so that the clamping and positioning plate limits the output shaft of the machine sample;
controlling the movement of a machine sample, and respectively acquiring output shaft detection values of the first detection mechanism, the second detection mechanism, the third detection mechanism … … and the eighth detection mechanism again, wherein the output shaft detection values are named as B1, B2 and B3 … … B8, and the acquisition of the output shaft detection values is acquired by adopting intervals;
namely b1= { G1.1, H1.2, J1.3 … … k1.i }, b2= { G2.1, H2.2, J2.3 … … k2.i }, b3= { G3.1, H3.2, J3.3 … … k3.i } … … B8 = { G8.1, H8.2, J8.3 … … k8.i };
the output shaft detection values obtained in the intervals are arranged, the average dynamic value of the output shaft of the machine sample is obtained, and the average dynamic value of the output shaft of the machine sample is named as DC1, DC2 and DC3 … … DC8;
obtaining a machine sample comparison mean value in a storage module, and calculating a machine sample compensation value by integrating the machine sample comparison mean value and an average dynamic value of an output shaft of the machine sample;
i.e. machine sample compensation value = machine sample comparison mean-machine sample output shaft mean dynamic value;
and determining the optimal compensation values of the machine samples in different directions according to the compensation values of the machine samples of the detection pieces in different directions on the support outer ring, so as to realize static and dynamic balance optimization of the machine samples in different directions.
As an alternative to the data analysis-based machine static-dynamic balance optimization test method of the present invention, the method comprises: including supporting the outer loop and setting up a plurality of detecting piece on supporting the outer loop:
the inner wall of the support outer ring is fixedly provided with a bearing spring, the end part of the bearing spring is provided with a mounting inner ring, the inner wall of the mounting inner ring is fixedly provided with a hydraulic mechanism, and the end part of the hydraulic mechanism is provided with a clamping and positioning plate;
the detecting piece comprises a detecting sleeve, a detecting probe, a liquid column cavity, a pressure sensor, a butt joint rod and a reset spring, wherein the detecting probe is arranged on the inner side of the detecting sleeve, the liquid column cavity is arranged at the end part of the detecting probe, the pressure sensor is arranged at the top of the liquid column cavity, the butt joint rod is arranged at the end part of the detecting probe, and the reset spring is sleeved outside the butt joint rod.
As an alternative to the data analysis-based machine static-dynamic balance optimization test method of the present invention, the method comprises: comprising the following steps:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the data analysis based machine static-dynamic balance optimization test method of any one of claims 1-8 when executing the executable instructions.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the machine static and dynamic balance optimization test method based on data analysis, the shaking force of different directions of a machine is detected by utilizing the detection pieces arranged at different directions on the supporting outer ring, interval detection is adopted in the detection process, the calculated compensation value is improved to be more towards the correct value by eliminating the initial influence factor, and the calculated compensation value of different directions is used for conveniently realizing the dynamic and static balance optimization of the machine in the later stage.
Drawings
FIG. 1 is a schematic diagram of a balance optimization test of the present invention;
FIG. 2 is a schematic perspective view of a test apparatus according to the present invention;
FIG. 3 is a schematic front view of the test apparatus of the present invention;
FIG. 4 is a schematic cross-sectional view of a detecting member according to the present invention;
FIG. 5 is a schematic diagram of the distribution of the positioning members according to the present invention;
fig. 6 is a schematic diagram showing the distribution of the reversing positioning members according to the present invention.
In the figure: 1. supporting the outer ring; 2. a detecting member; 201. detecting a sleeve; 202. a detection probe; 203. a liquid column chamber; 204. a pressure sensor; 205. a butt joint rod; 206. a return spring; 3. a support spring; 4. installing an inner ring; 5. a hydraulic mechanism; 6. clamping the positioning plate.
Description of the embodiments
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements, and circuits well known to those skilled in the art have not been described in detail in order not to obscure the present disclosure.
Example 1
Referring to fig. 1 to 6, the present invention provides a technical solution: a machine static and dynamic balance optimization test method based on data analysis comprises the following steps: the method comprises the following steps:
acquiring three-dimensional information of a machine sample, and positioning the machine sample in the installation inner ring 4 according to the three-dimensional information;
the initial influence factors of the machine samples are determined by acquiring the information of the detection pieces 2 arranged on the support outer ring 1;
controlling a machine sample to keep normal operation, recording dynamic information values of the machine sample of each detection piece 2 arranged on the support outer ring 1, and storing the dynamic information values of the machine sample into a storage module;
acquiring dynamic information and initial influence factors in a storage module, integrating the dynamic information values and the initial influence factors, determining a machine sample compensation value, and carrying out balance optimization on a machine sample according to the machine sample compensation value;
the three-dimensional information acquisition of the machine sample comprises:
acquiring the longest width, the longest height and the longest length of a machine sample;
establishing a scanning cube according to the longest width, the longest length and the longest height of the machine sample;
taking six faces of the scanning cube as three-dimensional information acquisition faces of the machine sample, and acquiring the three-dimensional information of the machine sample by using scanning equipment to manufacture a three-dimensional model of the machine sample;
determining a gravity center area of the machine sample according to the three-dimensional model of the machine sample;
the telescopic distance of the hydraulic mechanism 5 is regulated and controlled by acquiring a gravity center area of a machine sample;
the regulation of the hydraulic mechanism 5 includes:
placing the machine sample between the two side clamping and positioning plates 6, and moving the machine sample through a hydraulic mechanism 5 connected to the two side clamping and positioning plates 6;
finally controlling the center of gravity region of the machine sample to fall into the center of the circle of the installation inner ring 4;
the three-dimensional scanning model of the machine sample is built by scanning the appearance of the machine sample, the gravity center area of the machine sample is more convenient to determine according to the obtained three-dimensional scanning model of the machine sample, the expansion and contraction amount of the hydraulic mechanisms 5 arranged on the left side and the right side and arranged on the inner side of the installation inner ring 4 is calculated according to the position of the gravity center area of the machine sample in the center of the installation inner ring 4, the hydraulic mechanisms 5 drive the clamping and positioning plates 6 to clamp and position the machine sample, the influence of the subsequent machine sample test is reduced by arranging the gravity center area of the machine sample in the position of the center of the installation inner ring 4, the circle center of the installation inner ring 4 is required to be the circle center position of the center surface of the installation inner ring 4, the hydraulic mechanisms 5 can be hydraulic rods, and the hydraulic rods can be selected according to actual requirements by a person skilled in the art.
The units or steps of the invention described above may be implemented by general-purpose computing means, they may be concentrated on a single computing means, or distributed over a network of computing means, alternatively they may be implemented by program code executable by computing means, so that they may be stored in storage means for execution by computing means, or they may be separately fabricated into individual integrated circuit modules, or a plurality of modules or steps in them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Example two
Referring to fig. 1 to 6, the initial impact factor acquisition of the machine sample includes:
acquiring a value of a pressure sensor 204 arranged on the detecting piece 2;
the detecting piece 2 arranged on the support outer ring 1 is named as a first detecting mechanism, a second detecting mechanism, a third detecting mechanism, a fourth detecting mechanism … … and an eighth detecting mechanism according to the azimuth;
respectively acquiring values of a first detection mechanism, a second detection mechanism, a third detection mechanism, a fourth detection mechanism … … and an eighth detection mechanism, and naming the acquired values of the first detection value, the second detection value, the third detection value … … and the eighth detection value as C1, C2 and C3 … … C8, wherein C1, C2 and C3 … … C8 are initial influence factors;
simultaneously storing C1, C2 and C3 … … C8 into a storage module;
controlling the machine sample to keep an operating state, and acquiring the numerical values of the first detection mechanism, the second detection mechanism, the third detection mechanism … … and the eighth detection mechanism under the operating state again;
the acquisition of the values in the running state is performed by adopting interval acquisition, the acquired first detection mechanism value in the running state, the second detection mechanism value in the running state and the eighth detection mechanism value in the running state of the third detection mechanism value … … in the running state are named as A1, A2 and A3 … … A8, and the whole of A1, A2 and A3 … … A8 is the dynamic information value of the machine sample;
namely a1= { X1.1, Y1.2, Z1.3 … … r1.I }, a2= { X2.1, Y2.2, Z2.3 … … r2.I }, a3= { X3.1, Y3.2, Z3.3 … … r3.I } … … a8= { X8.1, Y8.2, Z8.3 … … r8.I };
the method comprises the steps of obtaining a machine sample dynamic elimination value through integrating a machine sample dynamic information value and an initial influence factor value, and storing the machine sample dynamic elimination value into a storage module;
machine sample dynamic elimination value = machine sample dynamic information value-initial impact factor;
obtaining a machine sample dynamic elimination value in a storage module, calculating a machine sample average dynamic elimination value, and naming the machine sample average dynamic elimination values of detection pieces in different directions as DJ1, DJ2 and DJ3 … … DJ8;
storing DJ1, DJ2, DJ3 … … DJ8 into a memory module;
when the machine sample is fixed at the center of the installation inner ring 4, the machine sample is influenced by gravity at this time, so that the detecting pieces 2 which are arranged at equal angles on the support outer ring 1 float, and the values are the values of the first detecting mechanism, the second detecting mechanism, the third detecting mechanism, the fourth detecting mechanism … … and the eighth detecting mechanism, namely initial influencing factors C1, C2 and C3 … … C8;
the machine samples positioned in the mounting inner ring 4 are controlled to keep an operation state, at the moment, certain shaking can be generated in the operation process of the machine samples, the shaking generated in the operation process of the machine samples can change the numerical value of the pressure sensor 204 on the detection piece 2 which is arranged at equal angles on the supporting outer ring 1, the numerical value in the operation process of the machine samples is in a wave floating state, different detection pieces 2 are arranged in different directions of the supporting outer ring 1, and the numerical value in the operation process of the machine samples is detected through a plurality of detection pieces 2;
in order to ensure that the acquisition of the numerical value in the running process of the machine sample is more accurate, the numerical value in the running process of the machine sample is acquired by adopting an interval, the interval acquisition is to select a time period, the time period is equally divided into a plurality of equal parts, A1, A2 and A3 … … A8 are the sets of a first detection mechanism, a second detection mechanism and a third detection mechanism … … in a certain time period, X1.1, Y1.2 and Z1.3 … … R1.i are the numerical values of the pressure sensors on the first detection member, which are acquired by the first detection mechanism in different time periods in a certain interval, i represents the number of equally divided time periods, and i is more than 5, by adopting the mode, the numerical value quantity acquired in the running process of the machine sample is improved, the time period which is to ensure that the movement of the machine sample is stable is selected in the time period can be 5S, the number of the time periods can be 5, and the time period and the number of the time periods can be selected by a person skilled in the field according to actual requirements;
in order to select the most representative value of the time period, the average value of all the obtained values in a certain time is calculated to represent the value of the pressure sensor 204 on the detection member 2 in a specific direction in a certain time, when the average value is calculated, all the values in a certain time need to be removed from the interference of initial influencing factors respectively, the influence of gravity in the positioning process of a machine sample is removed, when the value obtained by removing the initial influencing factors is negative, the negative value needs to be changed into positive value at the moment, and then the average value calculation is carried out, wherein the calculated average values are DJ1, DJ2 and DJ3 … … DJ8.
It should be appreciated by those skilled in the art that implementing all or part of the above-described embodiment methods may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the embodiment flow of each control method as described above when executed. It will be appreciated by those skilled in the art that implementing all or part of the above-described embodiment methods may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the embodiment flow of each control method as described above when executed. The storage medium may be a magnetic disk, an optical disc, a Read-only memory, a ROM, a random access memory RandomAccessMemory, RAM, a flash memory, a hard disk harddisk, abbreviated as harddisk, or the like: HDD or Solid-state drive, SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Example III
In this embodiment, referring to fig. 1 to 6, the hydraulic mechanism 5 is controlled to drive the clamping and positioning plate 6 to move, so as to release the clamping and positioning of the machine sample;
turning the machine sample 180 degrees, and controlling the hydraulic mechanism 5 to drive the clamping and positioning plate 6 to position the gravity center area of the machine sample at the circle center of the mounting inner ring 4;
at this time, mirror-inverting the detecting pieces provided on the support outer ring 1, that is, exchanging the first detecting piece with the first detecting piece, exchanging the fifth detecting piece with the seventh detecting piece, and exchanging the sixth detecting piece with the eighth detecting piece;
obtaining an average dynamic elimination value of a reverse machine sample by executing the machine static and dynamic balance optimization test method based on data analysis of claims 4-6, and naming the average dynamic elimination value of the reverse machine sample as DR1, DR2, DR3 … … DR8, and simultaneously storing DR1, DR2, DR3 … … DR8 into a storage module;
the average dynamic elimination value of the machine sample and the dynamic elimination value of the reverse machine sample in the storage module are obtained, and the average value of the machine sample and the reverse machine sample is obtained;
machine sample comparison mean = (reverse machine sample mean dynamic elimination value + machine sample mean dynamic elimination value)/2;
the outer shell of the machine sample is fixed on the side of the supporting outer ring 1 through a mounting mechanism, and the output shaft of the machine sample is positioned at the center of the mounting inner ring 4;
the clamping and positioning plate 6 is driven to move by controlling the hydraulic mechanism 5, so that the clamping and positioning plate 6 limits the output shaft of the machine sample;
controlling the movement of a machine sample, and respectively acquiring output shaft detection values of the first detection mechanism, the second detection mechanism, the third detection mechanism … … and the eighth detection mechanism again, wherein the output shaft detection values are named as B1, B2 and B3 … … B8, and the acquisition of the output shaft detection values is acquired by adopting intervals;
namely b1= { G1.1, H1.2, J1.3 … … k1.i }, b2= { G2.1, H2.2, J2.3 … … k2.i }, b3= { G3.1, H3.2, J3.3 … … k3.i } … … B8 = { G8.1, H8.2, J8.3 … … k8.i };
the output shaft detection values obtained in the intervals are arranged, the average dynamic value of the output shaft of the machine sample is obtained, and the average dynamic value of the output shaft of the machine sample is named as DC1, DC2 and DC3 … … DC8;
obtaining a machine sample comparison mean value in a storage module, and comparing the machine sample comparison mean value with a machineIntegrating the average dynamic values of the sample output shafts of the machines, and calculating the compensation values of the samples of the machines;
i.e. machine sample compensation value = machine sample comparison mean-machine sample output shaft mean dynamic value;
according to the machine sample compensation values of the detection pieces in different directions on the support outer ring 1, the optimized compensation values of the machine sample in different directions are determined, and static and dynamic balance optimization of the machine sample in different directions is realized;
in order to make the jitter values obtained by the machine samples in different directions more accurate, after the machine samples are turned over by 180 degrees, the average dynamic elimination values DR1, DR2 and DR3 … … DR8 of the reverse machine samples in different directions on the support outer ring 1 are obtained again, in the process of turning over the machine samples by 180 degrees, the first detection piece and the first detection piece are exchanged at the same time, the fifth detection piece and the seventh detection piece are exchanged, the sixth detection piece and the eighth detection piece are exchanged, and the average dynamic elimination values of the reverse machine samples are recalculated by obtaining new initial influence factors C1, C2 and C3 … … C8;
the average dynamic elimination value of the reverse machine sample and the average value of the average dynamic elimination value of the machine sample are obtained again, so that the machine sample is positioned in the mounting inner ring 4, the values detected by the detection pieces in different directions on the supporting outer ring 1 are more biased to accurate values, the obtained values of the detection pieces in different directions are the values under the machine dynamic state, and the fact that the supporting spring 3 is a spring with higher rigidity is needed to reduce the influence of the supporting spring 3 on the detection values;
when calculating the numerical value under the static state of a machine, the machine sample is required to be fixed by using an external mounting mechanism, a driving shaft of the machine sample is positioned at the center of a circle of the mounting inner ring 4, a clamping and positioning plate 6 is positioned at the outer side of the driving shaft of the machine sample, at the moment, the detection numerical value of a detection piece 2 at the outer side of the supporting outer ring 1 is obtained again by controlling the operation of the machine sample, at the moment, no gravity influence exists, an initial influence factor is not required to be obtained, only the average dynamic numerical value of an output shaft of the machine sample is required to be calculated, and because 8 detection pieces are arranged at the outer side of the supporting outer ring 1, namely a first detection mechanism and a second detection mechanism … … eighth detection mechanism, the average dynamic numerical value of the output shaft of the machine sample can be obtained by no detection mechanism, and the jitter numerical values of the output shafts of the machine sample at different directions in the operation process are realized;
the average dynamic value of the output shaft of the machine sample of the detection piece is compared with the average dynamic value of the output shaft of the machine sample in different directions, so that the compensation value of the machine sample in different directions is obtained, when the dynamic and static balance of the machine is required to be optimized subsequently, the compensation value of the machine sample in different directions is gradually close to the minimum compensation value of the machine sample in different directions, so that the jitter generated in different directions in the operation process of the machine sample is reduced, the balance of the machine is better, and when the machine sample is required to be optimized again, the jitter difference value in the static and dynamic process of the machine is further weakened by gradually closing the average dynamic value of the comparison of the machine sample to the average dynamic value of the output shaft of the machine sample.
Example IV
Referring to fig. 1 to 6, the embodiment includes a support outer ring 1 and a plurality of detecting elements 2 disposed on the support outer ring 1:
the inner wall of the support outer ring 1 is fixedly provided with a bearing spring 3, the end part of the bearing spring 3 is provided with a mounting inner ring 4, the inner wall of the mounting inner ring 4 is fixedly provided with a hydraulic mechanism 5, and the end part of the hydraulic mechanism 5 is provided with a clamping and positioning plate 6;
the detecting piece 2 comprises a detecting sleeve 201, a detecting probe 202, a liquid column cavity 203, a pressure sensor 204, a butt joint rod 205 and a reset spring 206, wherein the detecting probe 202 is arranged on the inner side of the detecting sleeve 201, the liquid column cavity 203 is arranged at the end part of the detecting probe 202, the pressure sensor 204 is arranged at the top of the liquid column cavity 203, the butt joint rod 205 is arranged at the end part of the detecting probe 201, and the reset spring 206 is sleeved outside the butt joint rod 205;
utilize supporting a plurality of installation inner ring 4 that sets up between outer loop 1 and the installation inner ring 4 to play the effect of fixing a position installation inner ring 4, and bearing spring 3 is the great spring of rigidity, weaken the influence of bearing spring 3 shake resonance, the inside of installation inner ring 4 is provided with hydraulic mechanism 5, through controlling hydraulic mechanism 5 motion, realize adjusting the inside centre gripping locating plate 6 position of installation inner ring 4, centre gripping locating plate 6 symmetry is provided with two, play the effect to machine sample centre gripping location and machine sample drive shaft location, when machine sample and drive shaft operation in-process appear shaking, can drive the inside installation inner ring 4 of supporting outer loop 1 and produce the position offset, the laminating of the surface of installation inner ring 4 is provided with test probe 202, and then let test probe 202 inside slip at test sleeve 201, can drive the inside slip of counter rod 205 in liquid column chamber 203 when test probe 202 moves, and compress reset spring 206, along with the inside slip of counter rod 205, can extrude liquid in liquid column chamber 203, let liquid install pressure sensor 204 on the liquid column chamber 203 and extrude according to the different extrusion numerical values of pressure sensor 204.
An electronic device includes:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the data analysis based machine static-dynamic balance optimization test method of any one of claims 1-8 when executing the executable instructions.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The units or steps of the invention may be implemented in a general-purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (10)

1. A machine static and dynamic balance optimization test method based on data analysis is characterized by comprising the following steps:
acquiring three-dimensional information of a machine sample, and positioning the machine sample in an installation inner ring (4) according to the three-dimensional information;
the method comprises the steps of determining an initial influence factor of a machine sample by acquiring information of detection pieces (2) arranged on a support outer ring (1);
controlling a machine sample to keep normal operation, recording dynamic information values of the machine sample of each detection piece (2) arranged on the supporting outer ring (1), and storing the dynamic information values of the machine sample into a storage module;
and acquiring dynamic information and initial influence factors in the storage module, integrating the dynamic information values and the initial influence factors, determining a machine sample compensation value, and carrying out balance optimization on the machine sample according to the machine sample compensation value.
2. The machine static and dynamic balance optimization test method based on data analysis according to claim 1, wherein: the three-dimensional information acquisition of the machine sample comprises:
acquiring the longest width, the longest height and the longest length of a machine sample;
establishing a scanning cube according to the longest width, the longest length and the longest height of the machine sample;
taking six faces of the scanning cube as three-dimensional information acquisition faces of the machine sample, and acquiring the three-dimensional information of the machine sample by using scanning equipment to manufacture a three-dimensional model of the machine sample;
and determining the gravity center area of the machine sample according to the three-dimensional model of the machine sample.
3. The machine static and dynamic balance optimization test method based on data analysis according to claim 2, wherein: the telescopic distance of the hydraulic mechanism (5) is regulated and controlled by acquiring a gravity center area of a machine sample;
the regulation and control of the hydraulic mechanism (5) comprises:
placing a machine sample between two side clamping and positioning plates (6), and moving the machine sample through a hydraulic mechanism (5) connected to the two side clamping and positioning plates (6);
finally, the center of gravity area of the machine sample is controlled to fall into the center of the circle of the installation inner ring (4).
4. The machine static and dynamic balance optimization test method based on data analysis according to claim 3, wherein: the initial impact factor acquisition of the machine sample includes:
acquiring a value of a pressure sensor (204) arranged on the detection piece (2);
the detection piece (2) arranged on the support outer ring (1) is named as a first detection mechanism, a second detection mechanism, a third detection mechanism, a fourth detection mechanism … … and an eighth detection mechanism according to the azimuth;
respectively acquiring values of a first detection mechanism, a second detection mechanism, a third detection mechanism, a fourth detection mechanism … … and an eighth detection mechanism, and naming the acquired values of the first detection value, the second detection value, the third detection value … … and the eighth detection value as C1, C2 and C3 … … C8, wherein C1, C2 and C3 … … C8 are initial influence factors;
while C1, C2, C3 … … C8 are stored into the memory module.
5. The machine static and dynamic balance optimization test method based on data analysis according to claim 4, wherein the method comprises the following steps: controlling the machine sample to keep an operating state, and acquiring the numerical values of the first detection mechanism, the second detection mechanism, the third detection mechanism … … and the eighth detection mechanism under the operating state again;
the acquisition of the values in the running state is performed by adopting interval acquisition, the acquired first detection mechanism value in the running state, the second detection mechanism value in the running state and the eighth detection mechanism value in the running state of the third detection mechanism value … … in the running state are named as A1, A2 and A3 … … A8, and the whole of A1, A2 and A3 … … A8 is the dynamic information value of the machine sample;
namely a1= { X1.1, Y1.2, Z1.3 … … r1.I }, a2= { X2.1, Y2.2, Z2.3 … … r2.I }, a3= { X3.1, Y3.2, Z3.3 … … r3.I } … … a8= { X8.1, Y8.2, Z8.3 … … r8.I };
the method comprises the steps of obtaining a machine sample dynamic elimination value through integrating a machine sample dynamic information value and an initial influence factor value, and storing the machine sample dynamic elimination value into a storage module;
machine sample dynamic elimination value = machine sample dynamic information value-initial impact factor.
6. The machine static and dynamic balance optimization test method based on data analysis according to claim 5, wherein the method comprises the following steps: obtaining a machine sample dynamic elimination value in a storage module, calculating a machine sample average dynamic elimination value, and naming the machine sample average dynamic elimination values of detection pieces in different directions as DJ1, DJ2 and DJ3 … … DJ8;
and storing DJ1, DJ2, DJ3 … … DJ8 into the memory module.
7. The machine static and dynamic balance optimization test method based on data analysis according to claim 6, wherein: the hydraulic mechanism (5) is controlled to drive the clamping and positioning plate (6) to move, so that the clamping and positioning of the machine sample is released;
turning over the machine sample by 180 degrees, and controlling the hydraulic mechanism (5) to drive the clamping and positioning plate (6) to position the gravity center area of the machine sample at the center of the circle of the mounting inner ring (4);
at the moment, mirror image inversion is carried out on the detection pieces arranged on the support outer ring (1), namely, the first detection piece and the first detection piece are exchanged, the fifth detection piece and the seventh detection piece are exchanged, and the sixth detection piece and the eighth detection piece are exchanged;
obtaining an average dynamic elimination value of a reverse machine sample by executing the machine static and dynamic balance optimization test method based on data analysis as set forth in claims 4-6, and naming the average dynamic elimination value of the reverse machine sample as DR1, DR2, DR3 … … DR8, and simultaneously storing DR1, DR2, DR3 … … DR8 into a storage module;
the average dynamic elimination value of the machine sample and the dynamic elimination value of the reverse machine sample in the storage module are obtained, and the average value of the machine sample and the reverse machine sample is obtained;
machine sample comparison mean = (inverse machine sample mean dynamic elimination value + machine sample mean dynamic elimination value)/2.
8. The machine static and dynamic balance optimization test method based on data analysis according to claim 7, wherein: the outer shell of the machine sample is fixed on the side of the supporting outer ring (1) through a mounting mechanism, and the output shaft of the machine sample is positioned at the center of the mounting inner ring (4);
the clamping and positioning plate (6) is driven to move by controlling the hydraulic mechanism (5) so that the clamping and positioning plate (6) limits the output shaft of the machine sample;
controlling the movement of a machine sample, and respectively acquiring output shaft detection values of the first detection mechanism, the second detection mechanism, the third detection mechanism … … and the eighth detection mechanism again, wherein the output shaft detection values are named as B1, B2 and B3 … … B8, and the acquisition of the output shaft detection values is acquired by adopting intervals;
namely b1= { G1.1, H1.2, J1.3 … … k1.i }, b2= { G2.1, H2.2, J2.3 … … k2.i }, b3= { G3.1, H3.2, J3.3 … … k3.i } … … B8 = { G8.1, H8.2, J8.3 … … k8.i };
the output shaft detection values obtained in the intervals are arranged, the average dynamic value of the output shaft of the machine sample is obtained, and the average dynamic value of the output shaft of the machine sample is named as DC1, DC2 and DC3 … … DC8;
obtaining a machine sample comparison mean value in a storage module, and calculating a machine sample compensation value by integrating the machine sample comparison mean value and an average dynamic value of an output shaft of the machine sample;
i.e. machine sample compensation value = machine sample comparison mean-machine sample output shaft mean dynamic value;
according to the machine sample compensation values of the detection pieces in different directions on the support outer ring (1), the optimized compensation values of the machine sample in different directions are determined, and static and dynamic balance optimization of the machine sample in different directions is realized.
9. The machine static and dynamic balance optimization test equipment based on data analysis is characterized by comprising a support outer ring (1) and a plurality of detection pieces (2) arranged on the support outer ring (1):
the inner wall of the support outer ring (1) is fixedly provided with a bearing spring (3), the end part of the bearing spring (3) is provided with a mounting inner ring (4), the inner wall of the mounting inner ring (4) is fixedly provided with a hydraulic mechanism (5), and the end part of the hydraulic mechanism (5) is provided with a clamping and positioning plate (6);
the detection piece (2) comprises a detection sleeve (201), a detection probe (202), a liquid column cavity (203), a pressure sensor (204), a butt joint rod (205) and a reset spring (206), wherein the detection probe (202) is arranged on the inner side of the detection sleeve (201), the liquid column cavity (203) is arranged at the end part of the detection probe (202), the pressure sensor (204) is arranged at the top of the liquid column cavity (203), the butt joint rod (205) is arranged at the end part of the detection probe (201), and the reset spring (206) is sleeved outside the butt joint rod (205).
10. An electronic device, characterized in that: comprising the following steps:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the data analysis based machine static-dynamic balance optimization test method of any one of claims 1-8 when executing the executable instructions.
CN202311568707.8A 2023-11-23 2023-11-23 Machine static and dynamic balance optimization test method based on data analysis Active CN117288383B (en)

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