CN117170312A - Quantitative evaluation method for health degree of numerical control machine tool spindle - Google Patents
Quantitative evaluation method for health degree of numerical control machine tool spindle Download PDFInfo
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Abstract
The application discloses a quantitative evaluation method for the health degree of a main shaft of a numerical control machine tool, belongs to the field of numerical control machine tools, and solves the problems of how to analyze and evaluate the health state of the main shaft of the numerical control machine tool through various data, so as to discover the abnormality of the main shaft and delay the service life of the main shaft in time; firstly, acquiring main shaft vibration data, calculating a main shaft vibration level coefficient according to the acquired main shaft vibration data, and judging whether the current operation of a main shaft of a target numerical control machine tool is stable or not according to the main shaft vibration level coefficient; external influence data are acquired, external influence evaluation coefficients are calculated according to the acquired external influence data, and the degree of negative influence of external factors on the main shaft of the target numerical control machine tool is judged according to the external influence evaluation coefficients; and finally, calculating a main shaft health degree evaluation coefficient according to the main shaft vibration level coefficient and the main shaft external evaluation coefficient, and judging the health state of the main shaft of the target numerical control machine tool by the main shaft health degree evaluation coefficient.
Description
Technical Field
The application belongs to the field of numerical control machine tools, and particularly relates to a quantitative evaluation method for the health degree of a main shaft of a numerical control machine tool.
Background
The main shaft of the numerical control machine is a key component in the numerical control machine, and the main shaft carries cutting tools (such as milling cutters, drills, cutters and the like) and rotates in the machining process, so that the machining operations of cutting, engraving, drilling, turning and the like of a workpiece are realized. The spindle functions similarly to the spindle in a conventional machine tool, but it has higher automation and accuracy.
The prior art (CN 105974886A) discloses a health monitoring method of a numerical control machine, which can effectively solve the problems of untimely and inaccurate judgment of the health state of the numerical control machine by improving the calculation basis of the health index of the key numerical control machine, the calculation method of the health index, the display mode of the health index and the like, and the obtained health index of the numerical control machine is visually displayed, so that the interaction effect of the machine and a person is improved. However, the prior art cannot analyze and evaluate the health status of the spindle of the data machine tool through the data in multiple aspects, which results in inaccurate judging results of whether the spindle of the data machine tool is healthy, and if the spindle cannot be processed in time, the service life of the spindle may be shortened and safety problems may occur. Therefore, the application provides a quantitative evaluation method for the health degree of the main shaft of the numerical control machine tool.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application provides a quantitative evaluation method for the health degree of the main shaft of the numerical control machine tool, which solves the problems of how to analyze and evaluate the health state of the main shaft of the numerical control machine tool through various data, so as to discover the abnormality of the main shaft and delay the service life of the main shaft in time.
In order to achieve the above purpose, the present application adopts the following technical scheme:
a quantitative evaluation method for the health degree of a main shaft of a numerical control machine tool comprises the following steps:
acquiring main shaft vibration data, calculating a main shaft vibration level coefficient according to the acquired main shaft vibration data, and judging whether the main shaft of the target numerical control machine tool is stable or not in current operation according to the main shaft vibration level coefficient;
acquiring external influence data, calculating an external influence evaluation coefficient according to the acquired external influence data, and judging the degree of the negative influence of external factors on the main shaft of the target numerical control machine tool by the external influence evaluation coefficient;
and calculating a main shaft health degree evaluation coefficient according to the main shaft vibration level coefficient and the main shaft external evaluation coefficient, and judging the health state of the main shaft of the target numerical control machine tool according to the main shaft health degree evaluation coefficient.
Further, the spindle vibration data includes a vibration speed, a vibration displacement, and a vibration acceleration; the external influence data comprise spindle temperature, spindle operation time and motor voltage value.
Further, the spindle vibration data is obtained as follows:
the main shaft vibration data are detected by arranging a plurality of vibration sensors respectively and independently or by arranging vibration sensors integrating speed detection, displacement detection and acceleration detection.
Further, a main shaft vibration level coefficient is calculated according to the obtained main shaft vibration data, and whether the current operation of the main shaft of the target numerical control machine tool is stable or not is judged by the main shaft vibration level coefficient in the following mode:
marking the vibration speed, the vibration displacement and the vibration acceleration which are detected and acquired by the vibration sensor At intervals of a preset unit time as Vt, xt and At respectively, wherein t represents a time stamp when the vibration sensor detects and acquires data;
calculating a vibration level coefficient Zt of a main shaft of the target numerical control machine according to the obtained vibration speed Vt, vibration displacement Xt and vibration acceleration At; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein Vo, xo and Ao are respectively the limit vibration speed, the limit vibration displacement and the limit vibration acceleration of the main shaft of the target numerical control machine tool; a1, a2 and a3 are respectively preset weight proportion coefficients of the vibration speed allowance, the vibration displacement allowance and the vibration acceleration allowance of the main shaft of the target numerical control machine tool; wherein a1 > a2 > a3 > 0, and a1+a2+a3=1;
comparing the calculated vibration level coefficient Zt of the main shaft of the target numerical control machine with a preset main shaft vibration level coefficient threshold value ZS; if Zt is less than ZS, the main shaft of the target numerical control machine tool has poor vibration performance and unstable operation; the vibration problem of the main shaft needs to be timely checked; if Zt is more than or equal to ZS, the target numerical control machine tool spindle vibration performance is good; the problem of vibration of the main shaft is not required to be checked temporarily.
Further, the external influence data is obtained as follows:
a temperature sensor is arranged on a main shaft of the target numerical control machine tool or at a proper position near the main shaft, and when the target numerical control machine tool runs, the temperature sensor acquires the temperature of the main shaft of the target numerical control machine tool every preset unit time to acquire the temperature of the main shaft; the method comprises the steps of timing the running time of a main shaft through a timing trigger arranged on a target numerical control machine tool; and setting a voltage sensor at the motor position of the target numerical control machine, and acquiring the voltage value of the motor of the target numerical control machine through the voltage sensor every preset unit time.
Further, an external influence evaluation coefficient is calculated according to the acquired external influence data, and the external influence evaluation coefficient is used for judging the degree of the negative influence of external factors on the main shaft of the target numerical control machine tool in the following manner:
calculating an external influence evaluation coefficient Ft according to the acquired main shaft temperature Wt, main shaft operation time Yt and motor voltage value Ut; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein Wo, yo and Uo are respectively the spindle limit temperature, the spindle operation limit duration and the motor voltage stabilizing value of the target numerical control machine tool; b1, b2 and b3 are respectively preset weight proportion coefficients of a main shaft temperature allowance, a main shaft running duration allowance and a motor voltage allowance of the target numerical control machine tool; wherein b1 > b3 > b2 > 0, and b1+b2+b3=1;
if Ft is smaller than FS, the negative influence of the current external factors on the main shaft of the target numerical control machine tool is large, the influence of the external factors needs to be checked in time, and the abnormal problem needs to be eliminated in time; if Ft is more than or equal to FS, the negative influence of the current external factors on the main shaft of the target numerical control machine tool is small, and the influence of the external factors is not examined temporarily.
Further, calculating a spindle health degree evaluation coefficient according to the spindle vibration level coefficient and the spindle external evaluation coefficient, and judging the health state of the spindle of the target numerical control machine by the spindle health degree evaluation coefficient comprises:
the spindle health evaluation coefficient PXt is calculated as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein alpha and beta are respectively preset weight proportion coefficients of a main shaft vibration level coefficient deviation value and an external influence evaluation coefficient deviation value, wherein alpha is more than beta is more than 0; alpha+β=1;
comparing the spindle health degree evaluation coefficient PXt obtained by calculation with a preset spindle health degree evaluation coefficient threshold PXS;
if PXt is larger than PXS, the health degree of the main shaft of the target numerical control machine tool is low, and the main shaft of the target numerical control machine tool needs to be integrally maintained and improved;
and if PXt is less than or equal to PXS, the main shaft of the target numerical control machine tool is good in health degree, and maintenance and improvement are not performed temporarily.
Further, the timing trigger is arranged on the target numerical control machine tool, and is electrically connected with a main shaft control switch of the target numerical control machine tool, and when the main shaft control switch is started, the timing trigger starts timing; the timing trigger is also electrically connected with each sensor, and triggers each sensor to perform corresponding checking and collecting work every preset unit time.
Compared with the prior art, the application has the beneficial effects that:
according to the application, by acquiring the main shaft vibration data, calculating a main shaft vibration level coefficient according to the acquired main shaft vibration data, and judging whether the main shaft of the target numerical control machine tool is currently running stably or not according to the main shaft vibration level coefficient; acquiring external influence data, calculating an external influence evaluation coefficient according to the acquired external influence data, and judging the degree of the negative influence of external factors on the main shaft of the target numerical control machine tool by the external influence evaluation coefficient; calculating a main shaft health degree evaluation coefficient according to the main shaft vibration level coefficient and the main shaft external evaluation coefficient, and judging the health state of the main shaft of the target numerical control machine tool according to the main shaft health degree evaluation coefficient; in the process, whether the vibration level of the main shaft meets the requirement or not can be known in time, and whether the main shaft runs stably or not is judged; analyzing whether the external factors have great negative influence on the main shaft; wherein when analyzing vibration level, the vibration speed, vibration displacement and vibration acceleration are combined for analysis, and when analyzing external influence, the spindle temperature, the spindle operation time length and the motor voltage value are combined; the health state of the main shaft of the numerical control machine tool is comprehensively analyzed by combining multidimensional data, and the method is more accurate, so that the main shaft abnormality is found in time, and the service life of the main shaft is prolonged.
Drawings
Fig. 1 is a flowchart of a quantitative evaluation method for the health degree of a spindle of a numerical control machine tool.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
As shown in fig. 1, a method for quantitatively evaluating the health degree of a spindle of a numerical control machine tool includes:
step one: acquiring main shaft vibration data, calculating a main shaft vibration level coefficient according to the acquired main shaft vibration data, and judging whether the main shaft of the target numerical control machine tool is stable or not in current operation according to the main shaft vibration level coefficient;
in the application, the main shaft vibration data comprise vibration speed, vibration displacement and vibration acceleration; the vibration data of the main shaft can pass through a sensor for vibration detection, namely a vibration sensor; optionally, a plurality of vibration sensors may be provided to separately detect vibration data of each spindle, or a vibration sensor integrating speed detection, displacement detection and acceleration detection may be provided to detect the vibration data;
the vibration sensor is arranged at a proper position of the main shaft or near the main shaft of the target numerical control machine tool, and good physical contact between the vibration sensor and the main shaft of the target numerical control machine tool is ensured during installation; a timing trigger is arranged for the target numerical control machine tool, and when the target numerical control machine tool is started, the timing trigger starts timing; triggering the vibration sensor and other sensors connected with the vibration sensor to perform detection and acquisition work every preset unit time when the vibration sensor passes through the timing trigger;
marking the vibration speed, the vibration displacement and the vibration acceleration which are detected and acquired by the vibration sensor At intervals of a preset unit time as Vt, xt and At respectively, wherein t represents a time stamp when the vibration sensor detects and acquires data;
calculating a vibration level coefficient Zt of a main shaft of the target numerical control machine according to the obtained vibration speed Vt, vibration displacement Xt and vibration acceleration At; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein Vo, xo and Ao are respectively the limit vibration speed, the limit vibration displacement and the limit vibration acceleration of the main shaft of the target numerical control machine tool; a1, a2 and a3 are respectively preset weight proportion coefficients of the vibration speed allowance, the vibration displacement allowance and the vibration acceleration allowance of the main shaft of the target numerical control machine tool, and represent the influence degree on the main shaft vibration level coefficient Zt; wherein a1 > a2 > a3 > 0, and a1+a2+a3=1;
the method is characterized in that the limit vibration speed, the limit vibration displacement and the limit vibration acceleration of the main shaft of the target numerical control machine tool are determined by vibration detection and data analysis of the main shaft of the target numerical control machine tool which normally operates in the early stage under different working conditions; this involves collecting a large number of spindle vibration data and analyzing these data in detail to find the highest acceptable level of vibration, which levels are defined as the extreme vibration parameters of the spindle, the corresponding extreme vibration velocity, extreme vibration displacement and extreme vibration acceleration, respectively; wherein the different working conditions may be different cutting conditions, different loads, different rotational speeds, etc.;
it can be understood that when the main shaft of the target numerical control machine works, if the vibration speed margin is smaller, the vibration displacement margin is smaller and the vibration acceleration margin is smaller, the vibration level coefficient Zt of the main shaft of the target numerical control machine is smaller, which means that the vibration performance of the main shaft of the target numerical control machine is worse, and the main shaft is unstable in current operation and needs to be processed in time;
comparing the calculated vibration level coefficient Zt of the main shaft of the target numerical control machine with a preset main shaft vibration level coefficient threshold value ZS;
if Zt is less than ZS, the main shaft of the target numerical control machine tool has poor vibration performance and unstable operation; the vibration problem of the main shaft needs to be timely checked;
if Zt is more than or equal to ZS, the target numerical control machine tool spindle vibration performance is good; the vibration problem of the main shaft is not required to be checked temporarily;
the method comprises the steps that a preset spindle vibration level coefficient threshold value ZS is obtained through analysis of a large number of spindle vibration level coefficients in the early stage;
step two: acquiring external influence data, calculating an external influence evaluation coefficient according to the acquired external influence data, and judging the degree of the negative influence of external factors on the main shaft of the target numerical control machine tool by the external influence evaluation coefficient;
in the application, the external influence data comprise spindle temperature, spindle operation time length and motor voltage value; it can be understood that the higher the spindle temperature, the longer the spindle run length and the more unstable the motor voltage value, the more easily the spindle is damaged;
specifically, a temperature sensor is arranged on a main shaft of the target numerical control machine tool or at a proper position near the main shaft, and when the target numerical control machine tool runs, the temperature sensor acquires the temperature of the main shaft of the target numerical control machine tool every preset unit time to acquire the main shaft temperature; the running time of the main shaft can be timed through a timing trigger arranged on the target numerical control machine tool; setting a voltage sensor at the motor position of the target numerical control machine, and acquiring the voltage value of the motor of the target numerical control machine through the voltage sensor every preset unit time;
in the application, the timing trigger is arranged on the target numerical control machine tool, and is electrically connected with the main shaft control switch of the target numerical control machine tool, and when the main shaft control switch is started, the timing trigger starts timing; the timing trigger is also electrically connected with each sensor and triggers each sensor to perform corresponding checking and collecting work every preset unit time;
calculating an external influence evaluation coefficient Ft according to the acquired main shaft temperature Wt, main shaft operation time Yt and motor voltage value Ut; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein Wo, yo and Uo are respectively the spindle limit temperature, the spindle operation limit duration and the motor voltage stabilizing value of the target numerical control machine tool; b1, b2 and b3 are respectively preset weight proportion coefficients of a main shaft temperature allowance, a main shaft running duration allowance and a motor voltage allowance of the target numerical control machine tool; wherein b1 > b3 > b2 > 0, and b1+b2+b3=1;
the main shaft limit temperature and the main shaft operation limit time length of the target numerical control machine tool are determined by detecting the main shaft temperature, timing the main shaft operation time length and analyzing data of the main shaft of the target numerical control machine tool which is normally operated in the earlier stage under different working conditions; the motor voltage stabilizing value is a rated voltage value of the motor;
it can be understood that when the main shaft of the target numerical control machine works, if the main shaft temperature margin is smaller, the main shaft running time margin is smaller and the motor voltage margin is larger, the external influence evaluation coefficient Ft is smaller, which means that the negative influence on the main shaft of the target numerical control machine is larger and needs to be treated in time;
comparing the external influence evaluation coefficient Ft obtained by calculation with a preset external influence evaluation coefficient threshold FS; the method comprises the steps that a preset external influence evaluation coefficient threshold FS is obtained through analysis of a large number of external influence evaluation coefficients in the early stage;
if Ft is smaller than FS, the negative influence of the current external factors on the main shaft of the target numerical control machine tool is large, the influence of the external factors needs to be checked in time, and the abnormal problem needs to be eliminated in time; for example, it is necessary to lower the temperature of the spindle, suspend the spindle operation, and troubleshoot the host voltage and host problems;
if Ft is more than or equal to FS, the negative influence of the current external factors on the main shaft of the target numerical control machine tool is small, and the influence of the external factors is not examined temporarily;
step three: calculating a main shaft health degree evaluation coefficient according to the main shaft vibration level coefficient and the main shaft external evaluation coefficient, and judging the health state of the main shaft of the target numerical control machine tool according to the main shaft health degree evaluation coefficient;
the spindle health evaluation coefficient PXt is calculated as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein alpha and beta are respectively preset weight proportion coefficients of a main shaft vibration level coefficient deviation value and an external influence evaluation coefficient deviation value, wherein alpha is more than beta is more than 0; alpha+β=1;
comparing the spindle health degree evaluation coefficient PXt obtained by calculation with a preset spindle health degree evaluation coefficient threshold PXS; the preset spindle health degree evaluation coefficient threshold PXS is obtained through analysis of a large amount of data in the early stage;
if PXt is larger than PXS, the health degree of the main shaft of the target numerical control machine tool is low, and the main shaft of the target numerical control machine tool needs to be integrally maintained and improved;
if PXt is less than or equal to PXS, the main shaft of the target numerical control machine tool is good in health degree, and maintenance and improvement are not performed temporarily;
the greater the spindle health degree evaluation coefficient, the lower the health degree of the spindle of the target numerical control machine tool.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented; the modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of this embodiment.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (8)
1. A quantitative evaluation method for the health degree of a main shaft of a numerical control machine tool is characterized by comprising the following steps of: comprising the following steps:
acquiring main shaft vibration data, calculating a main shaft vibration level coefficient according to the acquired main shaft vibration data, and judging whether the main shaft of the target numerical control machine tool is stable or not in current operation according to the main shaft vibration level coefficient;
acquiring external influence data, calculating an external influence evaluation coefficient according to the acquired external influence data, and judging the degree of the negative influence of external factors on the main shaft of the target numerical control machine tool by the external influence evaluation coefficient;
and calculating a main shaft health degree evaluation coefficient according to the main shaft vibration level coefficient and the main shaft external evaluation coefficient, and judging the health state of the main shaft of the target numerical control machine tool according to the main shaft health degree evaluation coefficient.
2. The quantitative evaluation method for the health degree of the spindle of the numerical control machine tool according to claim 1, wherein the quantitative evaluation method is characterized by comprising the following steps of: the main shaft vibration data comprise vibration speed, vibration displacement and vibration acceleration; the external influence data comprise spindle temperature, spindle operation time and motor voltage value.
3. The quantitative evaluation method for the health degree of the spindle of the numerical control machine tool according to claim 2, wherein the quantitative evaluation method is characterized by comprising the following steps of: the mode of acquiring the spindle vibration data is as follows:
the main shaft vibration data are detected by arranging a plurality of vibration sensors respectively and independently or by arranging vibration sensors integrating speed detection, displacement detection and acceleration detection.
4. The quantitative evaluation method for the health degree of the spindle of the numerical control machine tool according to claim 2, wherein the quantitative evaluation method is characterized by comprising the following steps of: the method for judging whether the current operation of the main shaft of the target numerical control machine tool is stable or not by the main shaft vibration level coefficient is as follows:
marking the vibration speed, the vibration displacement and the vibration acceleration which are detected and acquired by the vibration sensor At intervals of a preset unit time as Vt, xt and At respectively, wherein t represents a time stamp when the vibration sensor detects and acquires data;
calculating a vibration level coefficient Zt of a main shaft of the target numerical control machine according to the obtained vibration speed Vt, vibration displacement Xt and vibration acceleration At; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein Vo, xo and Ao are respectively the limit vibration speed, the limit vibration displacement and the limit vibration acceleration of the main shaft of the target numerical control machine tool; a1, a2 and a3 are respectively preset weight proportion coefficients of the vibration speed allowance, the vibration displacement allowance and the vibration acceleration allowance of the main shaft of the target numerical control machine tool; wherein a1 > a2 > a3 > 0, and a1+a2+a3=1;
comparing the calculated vibration level coefficient Zt of the main shaft of the target numerical control machine with a preset main shaft vibration level coefficient threshold value ZS; if Zt is less than ZS, the main shaft of the target numerical control machine tool has poor vibration performance and unstable operation; the vibration problem of the main shaft needs to be timely checked; if Zt is more than or equal to ZS, the target numerical control machine tool spindle vibration performance is good; the problem of vibration of the main shaft is not required to be checked temporarily.
5. The quantitative evaluation method for the health degree of the spindle of the numerical control machine tool according to claim 2, wherein the quantitative evaluation method is characterized by comprising the following steps of: the external influence data is obtained by the following modes:
a temperature sensor is arranged on a main shaft of the target numerical control machine tool or at a proper position near the main shaft, and when the target numerical control machine tool runs, the temperature sensor acquires the temperature of the main shaft of the target numerical control machine tool every preset unit time to acquire the temperature of the main shaft; the method comprises the steps of timing the running time of a main shaft through a timing trigger arranged on a target numerical control machine tool; and setting a voltage sensor at the motor position of the target numerical control machine, and acquiring the voltage value of the motor of the target numerical control machine through the voltage sensor every preset unit time.
6. The quantitative evaluation method for the health degree of the spindle of the numerical control machine tool according to claim 2, wherein the quantitative evaluation method is characterized by comprising the following steps of: according to the obtained external influence data, calculating an external influence evaluation coefficient, and judging the degree of the negative influence of external factors on the main shaft of the target numerical control machine tool by the external influence evaluation coefficient as follows:
calculating an external influence evaluation coefficient Ft according to the acquired main shaft temperature Wt, main shaft operation time Yt and motor voltage value Ut; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein Wo, yo and Uo are respectively the spindle limit temperature, the spindle operation limit duration and the motor voltage stabilizing value of the target numerical control machine tool; b1, b2 and b3 are respectively preset weight proportion coefficients of a main shaft temperature allowance, a main shaft running duration allowance and a motor voltage allowance of the target numerical control machine tool; wherein b1 > b3 > b2 > 0, and b1+b2+b3=1;
if Ft is smaller than FS, the negative influence of the current external factors on the main shaft of the target numerical control machine tool is large, the influence of the external factors needs to be checked in time, and the abnormal problem needs to be eliminated in time; if Ft is more than or equal to FS, the negative influence of the current external factors on the main shaft of the target numerical control machine tool is small, and the influence of the external factors is not examined temporarily.
7. The quantitative evaluation method for the health degree of the spindle of the numerical control machine tool according to claim 4 or 6, wherein the quantitative evaluation method is characterized by comprising the following steps of: calculating a main shaft health degree evaluation coefficient according to the main shaft vibration level coefficient and the main shaft external evaluation coefficient, and judging the health state of the main shaft of the target numerical control machine tool according to the main shaft health degree evaluation coefficient comprises the following steps:
the spindle health evaluation coefficient PXt is calculated as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein alpha and beta are respectively the principal axis vibration level coefficientsThe deviation value and the external influence evaluate the preset weight proportion coefficient of the coefficient deviation value, wherein alpha > beta > 0; alpha+β=1;
comparing the spindle health degree evaluation coefficient PXt obtained by calculation with a preset spindle health degree evaluation coefficient threshold PXS;
if PXt is larger than PXS, the health degree of the main shaft of the target numerical control machine tool is low, and the main shaft of the target numerical control machine tool needs to be integrally maintained and improved;
and if PXt is less than or equal to PXS, the main shaft of the target numerical control machine tool is good in health degree, and maintenance and improvement are not performed temporarily.
8. The quantitative evaluation method for the health degree of the spindle of the numerical control machine tool according to claim 5, wherein the quantitative evaluation method is characterized by comprising the following steps of: the timing trigger is arranged on the target numerical control machine tool and is electrically connected with a main shaft control switch of the target numerical control machine tool, and when the main shaft control switch is started, the timing trigger starts timing; the timing trigger is also electrically connected with each sensor, and triggers each sensor to perform corresponding checking and collecting work every preset unit time.
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