CN112487579B - Method and device for predicting residual life of operation component in lifting mechanism - Google Patents
Method and device for predicting residual life of operation component in lifting mechanism Download PDFInfo
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Abstract
The invention provides a method, a device, a computing device and a computer readable medium for predicting the residual life of an operating component in a lifting mechanism, wherein the method comprises the following steps: obtaining a residual life calculation value of the target operation component; determining at least one influencing factor that influences the remaining life of the target operational component; for each impact factor, performing: acquiring a monitoring value of a current influence factor; determining a monitoring value range in which a monitoring value of the current influence factor is located according to a corresponding relation among a pre-constructed influence factor, a monitoring value range and a life coefficient; obtaining a life coefficient corresponding to the current influence factor and the determined monitoring value range according to the corresponding relation; and correcting the residual life calculated value by utilizing the obtained life coefficients to obtain a residual life predicted value of the target operation component. The scheme can be used for predicting the residual life of the operating component in the lifting mechanism.
Description
Technical Field
The present invention relates to the field of electromechanical devices, and more particularly to a method, apparatus, computing device and computer readable medium for predicting the remaining life of an operating component in a lifting mechanism.
Background
The lifting mechanism is one of four core mechanical parts of the electric shovel, and the main function of the lifting mechanism is to transfer torque and lift shovel materials. Because the large lifting mechanism is not easy to maintain, if the operation assembly in the lifting mechanism fails to cause unplanned shutdown in the operation process, huge loss can be caused.
In order to prevent the problems, at present, a periodic point inspection mode is adopted to maintain the operation components in the lifting mechanism, and in the point inspection process, the operation components in the lifting mechanism need to be checked one by one to maintain the operation components with problems. This approach is not only costly, but also fails to enable prediction of the remaining life of the operating components in the lifting mechanism.
Disclosure of Invention
The invention provides a method, a device, a computing device and a computer readable medium for predicting the residual life of an operating component in a lifting mechanism, which can realize the prediction of the residual life of the operating component in the lifting mechanism.
In a first aspect, an embodiment of the present invention provides a method for predicting a remaining life of an operating component in a lifting mechanism, including:
obtaining a residual life calculation value of the target operation component;
Determining at least one influencing factor that influences the remaining life of the target operational component;
for each of the impact factors, performing:
acquiring a monitoring value of a current influence factor;
determining a monitoring value range in which the monitoring value of the current influence factor is located according to the corresponding relation among the pre-constructed influence factor, the monitoring value range and the life coefficient; and
Obtaining a life coefficient corresponding to the current influence factor and the determined monitoring value range according to the corresponding relation;
And correcting the residual life calculated value by utilizing the obtained life coefficients to obtain a residual life predicted value of the target operation component.
Optionally, the obtaining the remaining life calculation value of the target operation component includes:
Determining a total life calculation value corresponding to the target operation component before use;
acquiring the operation data of the target operation component;
calculating the service life value of the target operation component according to the operation data; and
And determining a difference between the determined total life calculation and the used life calculation as the remaining life calculation of the operating component.
Optionally, the operation data includes a rotation speed and an operation duration corresponding to the target operation component in an operation process;
the calculating the service life value of the target operation component according to the operation data comprises the following steps: calculating a service life value of the target operation component by using a first formula or a second formula;
The first formula is:
The second formula is:
Wherein L f is used for representing a service life value of the target operation component, n is used for representing operation times of the target operation component in the operation data, R n is used for representing a rotating speed corresponding to the target operation component in nth operation, T n' is used for representing an operation duration corresponding to the target operation component in nth operation, R max is used for representing a maximum rotating speed corresponding to the target operation component in the operation data, and R min is used for representing a minimum rotating speed corresponding to the target operation component in the operation data.
Alternatively, the process may be carried out in a single-stage,
When the target operational component is a bearing of an input motor or a bearing within a gearbox, the impact factors include: at least one of load power, temperature, vibration time domain and vibration frequency energy duty ratio of the load;
when the target operational component is a rotating shaft in the gearbox, the influencing factors include: at least one of temperature, vibration time domain and vibration frequency energy duty cycle;
When the target operational component is a gear within the gearbox, the impact factors include: at least one of load power of the load, vibration time domain, vibration frequency energy duty ratio, inlet oil temperature corresponding to a lubrication system for lubricating gears in the gear box, inlet flow corresponding to a lubrication system for lubricating gears in the gear box and pollution index influenced by environment in the gear box.
Optionally, the acquiring the monitored value of the current influence factor includes:
when the current influence factor is the load power of the born load, calculating a monitoring value of the current influence factor by using the following third formula;
The third formula is:
Wherein P is used for representing a monitoring value corresponding to the load power of the born load, U is used for representing the end line voltage of the input motor, I is used for representing the end line current of the input motor, The method comprises the steps of representing an operation power factor of an input motor, wherein eta represents the operation efficiency of the input motor;
And/or the number of the groups of groups,
When the current influence factor is a vibration time domain, calculating a monitoring value of the current influence factor by using the following fourth formula;
the fourth formula is:
wherein V r,m,s is used for representing a monitoring value corresponding to the vibration time domain, T is used for representing sampling time, and V (T) is used for representing vibration speed;
And/or the number of the groups of groups,
When the current influence factor is the vibration frequency energy duty ratio, calculating a monitoring value of the current influence factor by using a fifth formula;
the fifth formula is:
Wherein, the percentage is used for representing the monitoring value corresponding to the energy duty ratio of the vibration frequency, One-dimensional vector corresponding to spectrum for representing operation component x,/>The total energy spectrum used to characterize the target operational component x corresponds to a one-dimensional vector.
Optionally, the correcting the residual life calculation value by using the obtained life coefficients to obtain a residual life prediction value of the target operation component includes:
calculating a residual life prediction value of the target operation component by using the following sixth formula or seventh formula;
The sixth formula is:
The seventh formula is:
Wherein, L r is used for representing the predicted value of the residual life of the target operation component, L r-c is used for representing the calculated value of the residual life, and C m is used for representing the life coefficient corresponding to the mth influence factor.
Optionally, after the obtaining the predicted value of remaining life of the target operating component, the method further includes:
after confirming that the target operating component is grease treated, the remaining life prediction value is increased.
In a second aspect, embodiments of the present invention provide a device for predicting the remaining life of an operational component in a lifting mechanism, comprising:
a remaining life calculation value determining module for obtaining a remaining life calculation value of the target operation component;
an impact factor determination module for determining at least one impact factor that affects the remaining life of the target operational component;
a life coefficient obtaining module, configured to perform, for each of the impact factors:
acquiring a monitoring value of a current influence factor;
determining a monitoring value range in which the monitoring value of the current influence factor is located according to the corresponding relation among the pre-constructed influence factor, the monitoring value range and the life coefficient; and
Obtaining a life coefficient corresponding to the current influence factor and the determined monitoring value range according to the corresponding relation;
And the prediction module is used for correcting the residual life calculated value by utilizing the obtained life coefficients to obtain the residual life predicted value of the target operation component.
Optionally, the remaining life calculation value determining module includes:
A first determining unit, configured to determine a total lifetime calculation value corresponding to the target operating component before use;
An obtaining unit, configured to obtain operation data of the target operation component;
A first calculation unit for calculating a lifetime value of the target operating component based on the operating data; and
A second determining unit for determining a difference between the determined total life calculation value and the used life value as the remaining life calculation value of the operating component.
Optionally, the operation data includes a rotation speed and an operation duration corresponding to the target operation component in an operation process;
The first computing unit includes: a computing subunit;
The calculating subunit is configured to calculate a lifetime value of the target operating component by using the following first formula or second formula;
The first formula is:
The second formula is:
Wherein L f is used for representing a service life value of the target operation component, n is used for representing operation times of the target operation component in the operation data, R n is used for representing a rotating speed corresponding to the target operation component in nth operation, T n' is used for representing an operation duration corresponding to the target operation component in nth operation, R max is used for representing a maximum rotating speed corresponding to the target operation component in the operation data, and R min is used for representing a minimum rotating speed corresponding to the target operation component in the operation data.
Optionally, the life coefficient acquisition module includes: a monitor value acquisition unit;
The monitoring value obtaining unit is configured to calculate, when the current influencing factor is the load power of the load, a monitoring value of the current influencing factor according to the following third formula;
The third formula is:
Wherein P is used for representing a monitoring value corresponding to the load power of the born load, U is used for representing the end line voltage of the input motor, I is used for representing the end line current of the input motor, The method comprises the steps of representing an operation power factor of an input motor, wherein eta represents the operation efficiency of the input motor;
And/or the number of the groups of groups,
The monitoring value obtaining unit is configured to calculate, when the current influence factor is in a vibration time domain, a monitoring value of the current influence factor according to the following fourth formula;
the fourth formula is:
wherein V r,m,s is used for representing a monitoring value corresponding to the vibration time domain, T is used for representing sampling time, and V (T) is used for representing vibration speed;
And/or the number of the groups of groups,
The monitoring value obtaining unit is configured to calculate, when the current impact factor is a vibration frequency energy duty ratio, a monitoring value of the current impact factor according to the following fifth formula;
the fifth formula is:
Wherein, the percentage is used for representing the monitoring value corresponding to the energy duty ratio of the vibration frequency, One-dimensional vector corresponding to spectrum for representing operation component x,/>The total energy spectrum used to characterize the target operational component x corresponds to a one-dimensional vector.
Optionally, the prediction module includes: a second calculation unit;
the second calculation unit is configured to calculate a predicted value of remaining life of the target operating component using a sixth formula or a seventh formula described below;
The sixth formula is:
The seventh formula is:
Wherein, L r is used for representing the predicted value of the residual life of the target operation component, L r-c is used for representing the calculated value of the residual life, and C m is used for representing the life coefficient corresponding to the mth influence factor.
Optionally, the method further comprises: an update module;
And the updating module is used for increasing the residual life prediction value after confirming that the target operation assembly is subjected to grease treatment.
In a third aspect, embodiments of the present invention provide a computing device comprising: at least one memory and at least one processor;
The at least one memory for storing a machine readable program;
the at least one processor is configured to invoke the machine-readable program to perform any of the methods described above.
In a fourth aspect, embodiments of the present invention provide a computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform a method as described in any of the above.
As can be seen from the above solution, according to the method, apparatus, computing device and computer readable medium for predicting the remaining life of an operating component in a lifting mechanism provided by the present invention, for a target operating component in a lifting mechanism, a remaining life calculation value of the target operating component is obtained first, at least one influence factor influencing the remaining life of the target operating component is determined, according to a pre-constructed correspondence between the influence factors, a monitored value range and life coefficients, a life coefficient corresponding to each influence factor can be obtained, and the obtained life coefficients are used to correct the remaining life calculation value, so as to obtain a remaining life prediction value of the target operating component. According to the invention, manual spot inspection is not needed, the prediction of the residual service life of the operation assembly in the lifting mechanism is realized, the cost is low, and the efficiency is high.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are some embodiments of the invention and that other drawings may be obtained based on these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for predicting the remaining life of an operational component in a lifting mechanism according to one embodiment of the present invention;
FIG. 2 is a schematic illustration of a device for predicting the remaining life of an operational component in a lift mechanism according to one embodiment of the present invention;
FIG. 3 is a schematic illustration of another apparatus for predicting the remaining life of an operational component in a lifting mechanism according to one embodiment of the present invention;
FIG. 4 is a schematic illustration of a device for predicting the remaining life of an operational component in yet another lifting mechanism provided in accordance with one embodiment of the present invention;
FIG. 5 is a schematic illustration of a device for predicting the remaining life of an operational component in yet another lift mechanism provided in accordance with one embodiment of the present invention;
FIG. 6 is a schematic illustration of a device for predicting the remaining life of an operational component in a lift mechanism according to another embodiment of the present invention;
FIG. 7 is a schematic illustration of another apparatus for predicting the remaining life of an operational component in a lifting mechanism according to another embodiment of the present invention;
FIG. 8 is a schematic diagram of a computing device provided by one embodiment of the invention.
List of reference numerals:
Detailed Description
As described above, the periodic spot inspection is performed on the operating component in the lifting mechanism, which not only requires higher cost, but also causes an unplanned shutdown when the operating component in the lifting mechanism fails between the two spot inspections, and the spot inspection time is long, so that the prediction of the remaining life of the operating component in the lifting mechanism cannot be realized.
In the embodiment of the invention, the operation components in the lifting mechanism are respectively corresponding to the residual life calculated values, the influence factors can influence the residual life of the operation components, each operation component is provided with at least one influence factor, each influence factor can acquire the monitoring value through real-time monitoring, the corresponding life coefficient of each influence factor can be acquired through pre-constructing the corresponding relation among the influence factors, the monitoring value range and the life coefficient, and the obtained residual life calculated values of the operation components are utilized to correct so as to obtain the residual life predicted values of the operation components, wherein the obtained residual life predicted values of the operation components are quantized values, and the monitoring values of the influence factors can be monitored in real time, so that the real-time prediction of the residual life of the operation components in the lifting mechanism can be realized, and the cost and the efficiency are low.
The following describes in detail a method, an apparatus, a computing device, and a computer readable medium for predicting a remaining life of an operating component in a lifting mechanism according to an embodiment of the present invention with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention provides a method for predicting a remaining life of an operating component in a lifting mechanism, including:
step 101: obtaining a residual life calculation value of the target operation component;
Step 102: determining at least one influencing factor that influences the remaining life of the target operational component;
step 103: for each of the impact factors, performing:
acquiring a monitoring value of a current influence factor;
determining a monitoring value range in which the monitoring value of the current influence factor is located according to the corresponding relation among the pre-constructed influence factor, the monitoring value range and the life coefficient; and
Obtaining a life coefficient corresponding to the current influence factor and the determined monitoring value range according to the corresponding relation;
Step 104: and correcting the residual life calculated value by utilizing the obtained life coefficients to obtain a residual life predicted value of the target operation component.
In the embodiment of the invention, aiming at a target operation component in a lifting mechanism, a residual life calculation value of the target operation component is obtained, at least one influence factor influencing the residual life of the target operation component is determined, a life coefficient corresponding to each influence factor can be obtained according to a corresponding relation among a pre-constructed influence factor, a monitoring value range and life coefficients, and the obtained life coefficients are utilized to correct the residual life calculation value to obtain a residual life prediction value of the target operation component. According to the invention, manual spot inspection is not needed, the prediction of the residual service life of the operation assembly in the lifting mechanism is realized, the cost is low, and the efficiency is high.
In order to predict the remaining life of the target operating component, it is necessary to determine a remaining life calculation value of the target operating component, and in the embodiment of the present invention, the obtained remaining life calculation value of the target operating component may be obtained by the following manner:
Determining a total life calculation value corresponding to the target operation component before use;
acquiring the operation data of the target operation component;
calculating the service life value of the target operation component according to the operation data; and
And determining a difference between the determined total life calculation and the used life calculation as the remaining life calculation of the operating component.
Before the operation assembly is put into use, a total life calculation value is corresponding, namely, under normal working conditions, the total life of the operation assembly can be used without considering the influence of the influence factors on the residual life of the operation assembly. The total service life calculated value is calculated by a manufacturer according to the technical parameters corresponding to the operation assembly, a national standard formula and the actual use working condition of the operation assembly, and before the operation assembly leaves a factory, the manufacturer marks the total service life calculated value on the operation assembly or marks the total service life calculated value in the use instruction of the operation assembly.
The total life calculation value marked by the manufacturer for the target operation component can be the total number of operation turns or the total operation duration, for example, the total operation turns are 1000 ten thousand turns, and the total operation duration is 3000 hours. If the total life calculation value is marked as the total number of running turns, the calculated service life value, the calculated residual life value and the predicted residual life value correspond to the number of running turns; if the total life calculation value marks the total operation duration, the calculated used life value, the residual life calculation value and the residual life prediction value correspond to the operation duration. The embodiment of the invention is illustrated by taking the total life calculation value as the total number of running turns.
In the embodiment of the invention, the lifting mechanism is composed of a plurality of operation components, if a part of operation components have faults in the operation process of the lifting mechanism, the operation components can be quickly put into operation through field maintenance or replacement, and for some operation components, for example, a motor bearing, a bearing in a gear box, a rotating shaft in the gear box or a gear in the gear box, if the operation components have faults in the operation process of the lifting mechanism, the field maintenance or replacement cannot be quickly realized, so that the operation progress is affected.
In an embodiment of the present invention, in order to calculate a service life value of a target operation component, the service life value needs to be calculated according to operation data of the target operation component, where the operation data is data formed by monitoring and recording an operation state of each operation component in an operation process of a lifting mechanism, and the operation data may at least include a rotation speed and an operation duration corresponding to the operation process of the target operation component, and specifically, calculating the service life value of the target operation component according to the operation data includes: calculating a service life value of the target operation component by using a first formula or a second formula;
The first formula is:
The second formula is:
Wherein L f is used for representing a service life value of the target operation component, n is used for representing operation times of the target operation component in the operation data, R n is used for representing a rotating speed corresponding to the target operation component in nth operation, T n' is used for representing an operation duration corresponding to the target operation component in nth operation, R max is used for representing a maximum rotating speed corresponding to the target operation component in the operation data, and R min is used for representing a minimum rotating speed corresponding to the target operation component in the operation data.
When the service life value is calculated, in order to ensure the accuracy of a calculation result, the first formula can be used for calculating the service life value of the target operation assembly so as to add the corresponding operation turns of the target operation assembly in each operation to obtain the service life value of the target operation assembly, wherein R nT′n is the corresponding operation turn of the target operation assembly in the nth operation.
In order to quickly calculate the service life value, a second formula may be used to calculate the service life value of the target operating component, that is, the product of the average value of the maximum rotational speed and the minimum rotational speed corresponding to the target operating component in the operating process and the total operating duration, as the service life value of the target operating component.
The rotation of the bearing and the gear is driven by the rotation of the main shaft, so that when the target operation component is the bearing of the input motor, the bearing in the gear box or the gear in the gear box, the corresponding rotation speed of the target operation component is the rotation speed of the main shaft, and when the target operation component is the rotation shaft in the gear box, the corresponding rotation speed is the rotation speed of the rotation shaft.
In order to predict the remaining life of different operation components, the determination of the influence factors and the life coefficients of the different operation components is described below.
1. The target operating component is a bearing of the input motor.
In the embodiment of the invention, as the bearing needs to bear the load in the operation process, the larger the load power of the borne load is, the longer the loss of the service life of the bearing is, so that the load power of the borne load can be determined as an influence factor of the bearing of the input motor. Since the bearing generates frictional heat during rotation, if the temperature value of the bearing is within an abnormal range, it indicates that the bearing may malfunction, and thus, the temperature can be determined as an influence factor of the bearing input to the motor. Since the bearing vibrates during operation of the lifting mechanism, if the bearing fails, the vibration of the bearing is abnormal, and therefore the vibration time domain and/or the vibration frequency energy ratio related to the vibration can be determined as an influence factor of the bearing. Based on the analysis, when the target operating component is a bearing of an input motor, the influence factors include: at least one of load power, temperature, vibration time domain and vibration frequency energy ratio of the load.
In order to obtain the life coefficient of each influence factor, firstly, a monitoring value of each influence factor needs to be obtained, and the life coefficient of each influence factor is determined according to a pre-constructed corresponding relation, and the life coefficient of each influence factor of the target operation assembly is respectively described below.
1.1, The influencing factor is the load power of the load to be borne.
When the bearing drives a load, the input motor is required to drive, and the load power corresponding to the input motor can be determined as the load power of the load born by the bearing. The load power can be calculated by line current input to the motor end, and in the embodiment of the invention, the following third formula can be used for calculating the monitored value of the load power of the born load, and the third formula is as follows:
Wherein P is used for representing a monitoring value corresponding to the load power of the born load, U is used for representing the end line voltage of the input motor, I is used for representing the end line current of the input motor, The method is used for representing the operation power factor of the input motor, and eta is used for representing the operation efficiency of the input motor.
In practical application, a current detection unit may be disposed at the input motor end, and configured to detect an input motor end line current, where the current detection unit sends the detected input motor end line current to a preset monitored value acquisition unit, and the monitored value acquisition unit substitutes the input motor end line current into the third formula, and the value calculated by using the third formula is determined as the monitored value of the load power of the load born.
The larger the load power of the load born by the bearing is after exceeding the normal range, the larger the influence of the load power on the residual life of the bearing is, and in the embodiment of the invention, each time the load power of the load born by the bearing is increased by one range, the life coefficient can be reduced by one value, and the monitoring value range and the determination of the life coefficient can be determined through empirical values. For example, the correspondence relationship of the influence factor, the monitored value range, and the life coefficient may be constructed for the bearing of the input motor as shown in table 1.
Table 1:
Based on table 1, when predicting the remaining life of the bearing of the input motor, it is determined which of the monitored value ranges in table 1 falls after determining the monitored value thereof for the load power of the load to which the influence factor is applied, and the life coefficient corresponding to the fallen monitored value range is determined as the life coefficient of the influence factor. When the monitored value falls into the range (A1, A2), the life coefficient is 0.9, and the load power of the borne load is increased, so that the residual life of the bearing of the input motor is influenced.
1.2, The influencing factor is temperature.
In practical application, a temperature sensor may be disposed at a bearing of the input motor, and configured to detect a temperature value of the bearing of the input motor, send the detected temperature value to a preset monitoring value obtaining unit, and the monitoring value obtaining unit determines the received temperature value as a monitoring value of temperature.
In order to obtain the life coefficient corresponding to the temperature, the determination may be performed according to a pre-constructed correspondence (for example, table 1), when the monitored value of the temperature is within the range of [ B1, B2], it indicates that the temperature is within the normal range, the corresponding life coefficient is 1, and when the monitored value of the temperature is greater than B2, the corresponding life coefficient is 0.75. For example, B1 is 20 degrees and B2 is 70 degrees.
1.3, The influencing factor is the vibration time domain.
The bearing of the input motor can vibrate in the operation process, the monitoring value of the vibration time domain of the bearing can be in a normal range under the normal condition, if the bearing is indicated to be normal, if the bearing is in an abnormal range, the bearing can possibly fail or fails. The monitoring value of the vibration time domain can be calculated by using the following fourth formula; the fourth formula is:
wherein V r,m,s is used for representing a monitoring value corresponding to the vibration time domain, T is used for representing sampling time, and V (T) is used for representing vibration speed.
In practical application, a vibration sensor is arranged at the bearing of the input motor and used for collecting the vibration speed of the bearing in the sampling time, the collected information is sent to a preset monitoring value acquisition unit, and the monitoring value acquisition unit substitutes the monitoring value into the fourth formula to calculate the monitoring value of the vibration time domain.
Similarly, the life coefficient corresponding to the monitored value can be obtained according to table 1. When the monitoring value of the vibration time domain is larger than C3, the corresponding life coefficient is an alarm, which indicates that the vibration time domain is out of limit, and at the moment, the alarm can be directly given to an operator to inform the operator that the bearing of the input motor is faulty and needs to be maintained or replaced.
1.4, The influencing factor is the vibration frequency energy duty ratio.
When the vibration time domain of the bearing of the input motor is in a normal range, the vibration frequency energy ratio is also in a normal range, if the vibration time domain is in an abnormal range and even exceeds the highest limit value, the vibration frequency energy ratio is also in the abnormal range, a large amount of energy is concentrated at a high frequency, and in order to calculate the vibration frequency energy ratio, a monitoring value of the vibration frequency energy ratio can be calculated at least through a fifth formula:
Wherein, the percentage is used for representing the monitoring value corresponding to the energy duty ratio of the vibration frequency, One-dimensional vector corresponding to a frequency spectrum for characterizing an operating component x (x being the bearing of an input motor)/>The total energy spectrum used to characterize the target operational component x corresponds to a one-dimensional vector.
The greater the percentage value, the higher the bearing fault of the input motor, the smaller the corresponding life coefficient, and in the same way, the life coefficient corresponding to the vibration frequency energy ratio can be determined according to the table 1. When the monitoring value of the energy ratio of the vibration frequency is larger than D3, the corresponding life coefficient is an alarm, so that the vibration frequency is out of limit, and the alarm can be directly given to operators at the moment to inform the operators of bearing faults of the input motor, and maintenance or replacement is needed.
2. The target operational component is a bearing within the gearbox.
Based on the above description of the target operation component being the bearing of the input motor, since the bearings in the gear box and the bearing of the input motor are both bearings, the influence factors generated on the remaining life are the same, and when the target operation component is the bearing in the gear box, the influence factors include: at least one of load power, temperature, vibration time domain and vibration frequency energy ratio of the load.
Similarly, when obtaining the monitored value and the life coefficient of each influence factor (at least one of the load power, the temperature, the vibration time domain and the vibration frequency energy ratio of the load) of the bearing in the gear box, the corresponding relation among the influence factors, the monitored value ranges and the life coefficient constructed for the bearing in the gear box is the same as the construction method when the target operation component is the bearing of the input motor, but the monitored value ranges corresponding to each influence factor and the life coefficient corresponding to each monitored value range are not necessarily the same.
3. The target operating component is a rotating shaft in the gear box.
The rotating shaft is a mechanical part which is penetrated in the middle of the bearing and used for supporting the bearing to rotate and rotate together with the bearing to transmit motion, torque or bending moment, the rotating shaft is not loaded in the operation process, so that the residual life of the rotating shaft is not influenced by the load, but the abnormality of temperature and vibration can also influence the residual life of the rotating shaft, and therefore, when the target operation component is the rotating shaft in the gear box, the influencing factors comprise: at least one of temperature, vibration time domain and vibration frequency energy duty cycle.
Similarly, when obtaining the monitored value and the life coefficient of each influence factor (at least one of the temperature, the vibration time domain and the vibration frequency energy ratio) of the rotating shaft in the gear box, the corresponding relation among the influence factor, the monitored value range and the life coefficient constructed for the rotating shaft in the gear box is the same as the construction method when the target operating component is the bearing of the input motor, but the monitored value range corresponding to each influence factor and the value of the life coefficient corresponding to each monitored value range are not necessarily the same.
4. The target operational component is a gear within the gearbox.
The remaining life of the gears in the gearbox is also affected by the load power, vibration of the load being carried, and the load power, vibration time domain and/or vibration frequency energy duty cycle of the load being carried can be determined as the influencing factor of the gears. In addition, the lifting mechanism is provided with a lubrication system for lubricating the gears, and the lubrication system is provided with inlet oil temperature and inlet flow rate so as to ensure that the lubricated gears can normally operate. Further, the pollution index of the interior of the gear box, which is influenced by the environment, also influences the remaining life of the gear, and the higher the pollution index is, the greater the influence on the remaining life of the gear is, and therefore, the pollution index of the interior of the gear box, which is influenced by the environment, is determined as an influence factor of the gear. Based on the analysis, when the target operational component is a gear within the gearbox, the impact factors include: at least one of load power of the load, vibration time domain, vibration frequency energy duty ratio, inlet oil temperature corresponding to a lubrication system for lubricating gears in the gear box, inlet flow corresponding to a lubrication system for lubricating gears in the gear box and pollution index influenced by environment in the gear box.
Similarly, when obtaining the monitored value and the life coefficient of each influence factor (at least one of the load power, the vibration time domain and the vibration frequency energy ratio of the load) of the gear in the gear box, the corresponding relation among the influence factor, the monitored value range and the life coefficient constructed for the gear in the gear box is the same as the construction method when the target operation component is the bearing of the input motor, but the monitored value range corresponding to each influence factor and the value of the life coefficient corresponding to each monitored value range are not necessarily the same.
The following describes a process of obtaining a monitoring value and a life coefficient of an influence factor when the influence factor of the gear in the gear box is an inlet oil temperature corresponding to a lubrication system for lubricating the gear in the gear box, an inlet flow corresponding to a lubrication system for lubricating the gear in the gear box, or a pollution index influenced by the environment in the gear box.
4.1, The influencing factor is the inlet oil temperature (hereinafter referred to as inlet oil temperature) corresponding to a lubrication system for lubricating the gears in the gear box.
In practical application, a temperature sensor may be disposed at the oil inlet of the lubrication system, where the temperature sensor sends the detected temperature value to a preset monitoring value acquisition unit, and the monitoring value acquisition unit determines the received temperature value as a monitoring value of the inlet oil temperature.
The lubrication system lubricates the gear, and the higher the inlet oil temperature is, the larger the influence on the residual life of the gear is, so that when the inlet oil temperature is in a normal range, the life coefficient is 1, the inlet oil temperature is increased, the life coefficient is reduced, for example, every 4 ℃ for the inlet oil temperature is increased, and the life coefficient is reduced by 0.1. When the correspondence relationship of the influence factor (inlet oil temperature), the monitored value range, and the life coefficient is constructed for the gear in the gear box, the monitored value range and the corresponding life coefficient may be determined based on the empirical values as well, for example, the correspondence relationship is constructed as shown in table 2 below.
Table 2:
4.2, the inlet flow rate (hereinafter referred to as inlet flow rate) corresponding to a lubrication system for lubricating the gears in the gear box.
In practical application, a flow detection device may be disposed at an oil inlet of the lubrication system, where the flow detection device sends a detected inlet flow value to a preset monitoring value acquisition unit, and the monitoring value acquisition unit determines the received inlet flow value as a monitoring value of the inlet flow.
The lubrication system lubricates the gear, and the lower the inlet flow rate is, the larger the influence on the residual life of the gear is, so that when the inlet flow rate is in a normal range, the life coefficient is 1, the inlet flow rate is reduced, and the life coefficient is reduced, for example, every 10% of the reduction of the inlet flow rate is reduced, and the life coefficient is reduced by 0.1. When the correspondence relationship of the influence factor (inlet flow rate), the monitored value range, and the life coefficient is constructed for the gear in the gear box, the monitored value range and the corresponding life coefficient may be determined based on the empirical values as well, for example, the correspondence relationship is constructed as shown in table 3 below.
Table 3:
4.3, a pollution index (hereinafter described as pollution index) of the interior of the gearbox affected by the environment.
Be provided with the sealing washer on the gear box for prevent the dust of external environment to the pollution of inner assembly, the better the sealing effect of sealing washer, the lower dust content in the external environment is, is little to the pollution index, then is little to the influence of the remaining life of gear in the gear box, otherwise, is big to the influence of the remaining life of gear in the gear box. Therefore, the corresponding relation between the pollution index and the monitoring value range as well as the service life coefficient can be constructed, wherein the monitoring range of the pollution index can be checked and determined on site according to operators, the corresponding relation between the type of the sealing ring and the dust content as well as the pollution index can be constructed, the pollution index is determined according to the corresponding relation between the type of the sealing ring and the dust content as well as the pollution index, the monitoring value range where the pollution index is located is determined according to the corresponding relation between the pollution index and the monitoring value range as well as the service life coefficient, and the service life coefficient is further determined. For example, the corresponding relation between the type of the sealing ring, the dust content and the pollution index can be seen in table 4, and the corresponding relation between the pollution index and the monitoring value range and the service life coefficient can be seen in table 5.
Table 4:
table 5:
the above describes the manner in which the impact factors corresponding to the different operating components and the life coefficients corresponding to the respective impact factors are determined.
And correcting the residual life calculated value by utilizing the obtained life coefficients for the target operation assembly to obtain a residual life predicted value of the target operation assembly. In the embodiment of the invention, the residual life prediction value of the target operation component can be calculated at least through the following sixth formula or seventh formula;
The sixth formula is:
The seventh formula is:
Wherein, L r is used for representing the predicted value of the residual life of the target operation component, L r-c is used for representing the calculated value of the residual life, and C m is used for representing the life coefficient corresponding to the mth influence factor.
When the above sixth formula is used to calculate the predicted value of the residual life of the target operation component, each influence factor with the life coefficient smaller than 1 may aggravate the influence on the residual life of the target operation component, and the obtained predicted value of the residual life of the target operation component may early warn the operator in advance, so that the operator is more concerned about the failure condition of the target operation component.
According to the sixth or seventh formula, if each life coefficient is 1, the obtained predicted value of the remaining life of the target operation component is equal to the calculated value of the remaining life, which indicates that the target operation component is always in a normal operation process. When at least one life coefficient is not 1, the obtained predicted value of the residual life of the target operation component is unequal to the calculated value of the residual life, the predicted result is more accurate by using the embodiment of the invention to predict the residual life of the target operation component, and the predicted value of the residual life is closer to the actual residual life of the target operation component relative to the calculated value of the residual life.
In the embodiment of the present invention, for the running component after being used for a period of time, in order to ensure the performance of the running component, grease treatment may be performed on the running component every other period of time, and each time after grease treatment is performed on the running component, the probability of occurrence of faults of the running component may be reduced, so after obtaining the predicted value of the remaining life of the target running component, the method may further include: after confirming that the target operating component is grease treated, the remaining life prediction value is increased.
Specifically, the increase of the predicted remaining life value may be achieved by setting a life coefficient greater than 1, for example, the life coefficient is 1.1, and the product of the predicted remaining life value and 1.1 is determined as the predicted remaining life value of the target operating component each time the target operating component is subjected to grease treatment.
The above enables prediction of the remaining life of the target operational component.
In order to remind operators of timely repairing or replacing a running component which is likely to fail or has failed, an alarm range can be set for the residual life predicted value, and when the residual life predicted value is in the alarm range, the operators are warned.
In the embodiment of the invention, when the target operation component is the gear in the gear box, whether the impurity content in the oil in the lubrication system meets the standard can be analyzed, and if the oil does not meet the standard, an alarm can be directly given to an operator.
As shown in fig. 2, an embodiment of the present invention provides a device for predicting a remaining life of an operating component in a lifting mechanism, including:
a remaining life calculation value determining module 201 for obtaining a remaining life calculation value of the target operating component;
An impact factor determination module 202 for determining at least one impact factor that affects the remaining life of the target operational component;
A life factor obtaining module 203, configured to perform, for each of the impact factors:
acquiring a monitoring value of a current influence factor;
determining a monitoring value range in which the monitoring value of the current influence factor is located according to the corresponding relation among the pre-constructed influence factor, the monitoring value range and the life coefficient; and
Obtaining a life coefficient corresponding to the current influence factor and the determined monitoring value range according to the corresponding relation;
and a prediction module 204, configured to correct the calculated remaining lifetime value by using the obtained lifetime coefficients, so as to obtain a predicted remaining lifetime value of the target operating component.
Optionally, on the basis of the prediction apparatus for the remaining life of the operating component in the lifting mechanism shown in fig. 2, as shown in fig. 3, the remaining life calculation value determining module 201 includes:
a first determining unit 2011, configured to determine a total lifetime calculation value corresponding to the target operating component before use;
an obtaining unit 2012 configured to obtain operation data of the target operation component;
A first calculating unit 2013, configured to calculate a service life value of the target operating component according to the operating data; and
A second determining unit 2014 is configured to determine a difference between the determined total lifetime calculation value and the used lifetime value as the remaining lifetime calculation value of the operating component.
Optionally, on the basis of a device for predicting the remaining life of the operating component in the lifting mechanism shown in fig. 3, as shown in fig. 4, the operating data includes a corresponding rotating speed and operating duration of the target operating component in the operating process; the first computing unit 2013 includes: a computation subunit 20131;
The calculating subunit 20131 is configured to calculate a service life value of the target operating component according to a first formula or a second formula;
The first formula is:
The second formula is:
Wherein L f is used for representing a service life value of the target operation component, n is used for representing operation times of the target operation component in the operation data, R n is used for representing a rotating speed corresponding to the target operation component in nth operation, T n' is used for representing an operation duration corresponding to the target operation component in nth operation, R max is used for representing a maximum rotating speed corresponding to the target operation component in the operation data, and R min is used for representing a minimum rotating speed corresponding to the target operation component in the operation data.
Optionally, when the target operating component is a bearing of an input motor or a bearing within a gearbox, the influencing factors include: at least one of load power, temperature, vibration time domain and vibration frequency energy duty ratio of the load;
when the target operational component is a rotating shaft in the gearbox, the influencing factors include: at least one of temperature, vibration time domain and vibration frequency energy duty cycle;
When the target operational component is a gear within the gearbox, the impact factors include: at least one of load power of the load, vibration time domain, vibration frequency energy duty ratio, inlet oil temperature corresponding to a lubrication system for lubricating gears in the gear box, inlet flow corresponding to a lubrication system for lubricating gears in the gear box and pollution index influenced by environment in the gear box.
Optionally, on the basis of the prediction apparatus for the remaining life of the operating component in the lifting mechanism shown in fig. 2, as shown in fig. 5, the life coefficient obtaining module 203 includes: a monitor value acquisition unit 2031;
The monitor value obtaining unit 2031 is configured to calculate, when the current impact factor is the load power of the load, a monitor value of the current impact factor according to the following third formula;
The third formula is:
Wherein P is used for representing a monitoring value corresponding to the load power of the born load, U is used for representing the end line voltage of the input motor, I is used for representing the end line current of the input motor, The method comprises the steps of representing an operation power factor of an input motor, wherein eta represents the operation efficiency of the input motor;
And/or the number of the groups of groups,
The monitoring value obtaining unit 2031 is configured to calculate, when the current impact factor is in a vibration time domain, a monitoring value of the current impact factor according to a fourth formula described below;
the fourth formula is:
wherein V r,m,s is used for representing a monitoring value corresponding to the vibration time domain, T is used for representing sampling time, and V (T) is used for representing vibration speed;
And/or the number of the groups of groups,
The monitor value obtaining unit 2031 is configured to calculate, when the current impact factor is a vibration frequency energy duty ratio, a monitor value of the current impact factor using a fifth formula described below;
the fifth formula is:
/>
Wherein, the percentage is used for representing the monitoring value corresponding to the energy duty ratio of the vibration frequency, One-dimensional vector corresponding to spectrum for representing operation component x,/>The total energy spectrum used to characterize the target operational component x corresponds to a one-dimensional vector.
Optionally, on the basis of the prediction apparatus for the remaining life of the operating component in the lifting mechanism shown in fig. 2, as shown in fig. 6, the prediction module 204 includes: a second calculation unit 2041;
The second calculating unit 2041 is configured to calculate a predicted remaining life value of the target operating component using a sixth formula or a seventh formula described below;
The sixth formula is:
The seventh formula is:
Wherein, L r is used for representing the predicted value of the residual life of the target operation component, L r-c is used for representing the calculated value of the residual life, and C m is used for representing the life coefficient corresponding to the mth influence factor.
Optionally, on the basis of the prediction apparatus for the remaining life of the operating component in the lifting mechanism shown in fig. 2, as shown in fig. 7, the apparatus further includes: an update module 205;
The update module 205 is configured to increase the residual life prediction value after confirming that the target operating component is grease treated.
The content of information interaction and execution process between each module and unit in the device is based on the same conception as the embodiment of the method of the present invention, and specific content can be referred to the description in the embodiment of the method of the present invention, which is not repeated here.
As shown in fig. 8, an embodiment of the present invention further provides a computing device, including: at least one memory 801 and at least one processor 802;
The at least one memory 801 for storing a machine readable program;
The at least one processor 802 is configured to invoke the machine readable program to perform the method for predicting the remaining life of an operating component in a lifting mechanism according to any of the embodiments described above.
The present invention provides a computer readable medium storing instructions for causing a computer to perform a method of predicting the remaining life of a running component in a lifting mechanism as described herein. Specifically, a system or apparatus provided with a storage medium on which a software program code realizing the functions of any of the above embodiments is stored, and a computer (or CPU or MPU) of the system or apparatus may be caused to read out and execute the program code stored in the storage medium.
In this case, the program code itself read from the storage medium may realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code form part of the present invention.
Examples of storage media for providing program code include floppy disks, hard disks, magneto-optical disks, optical disks (e.g., CD-ROMs, CD-R, CD-RWs, DVD-ROMs, DVD-RAMs, DVD-RWs, DVD+RWs), magnetic tapes, nonvolatile memory cards, and ROMs. Alternatively, the program code may be downloaded from a server computer by a communication network.
Further, it should be apparent that the functions of any of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform part or all of the actual operations based on the instructions of the program code.
Further, it is understood that the program code read out by the storage medium is written into a memory provided in an expansion board inserted into a computer or into a memory provided in an expansion unit connected to the computer, and then a CPU or the like mounted on the expansion board or the expansion unit is caused to perform part and all of actual operations based on instructions of the program code, thereby realizing the functions of any of the above embodiments.
It should be noted that not all the steps and modules in the above flowcharts and the system configuration diagrams are necessary, and some steps or modules may be omitted according to actual needs. The execution sequence of the steps is not fixed and can be adjusted as required. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by multiple physical entities, or may be implemented jointly by some components in multiple independent devices.
In the above embodiments, the hardware unit may be mechanically or electrically implemented. For example, a hardware unit may include permanently dedicated circuitry or logic (e.g., a dedicated processor, FPGA, or ASIC) to perform the corresponding operations. The hardware unit may also include programmable logic or circuitry (e.g., a general-purpose processor or other programmable processor) that may be temporarily configured by software to perform the corresponding operations. The particular implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
While the invention has been illustrated and described in detail in the drawings and in the preferred embodiments, the invention is not limited to the disclosed embodiments, and it will be appreciated by those skilled in the art that the code audits of the various embodiments described above may be combined to produce further embodiments of the invention, which are also within the scope of the invention.
Claims (11)
1. A method of predicting remaining life of a running assembly in a lifting mechanism, comprising:
obtaining a residual life calculation value of the target operation component;
Determining at least one influencing factor that influences the remaining life of the target operational component;
for each of the impact factors, performing:
acquiring a monitoring value of a current influence factor;
determining a monitoring value range in which the monitoring value of the current influence factor is located according to the corresponding relation among the pre-constructed influence factor, the monitoring value range and the life coefficient; and
Obtaining a life coefficient corresponding to the current influence factor and the determined monitoring value range according to the corresponding relation;
correcting the residual life calculated value by utilizing the obtained life coefficients to obtain a residual life predicted value of the target operation component,
Wherein the obtaining the remaining life calculation value of the target operation component includes:
Determining a total life calculation value corresponding to the target operation component before use;
acquiring the operation data of the target operation component;
calculating the service life value of the target operation component according to the operation data; and
Determining a difference between the determined total life calculation and the used life calculation as the remaining life calculation of the operating component,
The operation data comprise the corresponding rotating speed and the corresponding operation duration of the target operation component in the operation process;
the calculating the service life value of the target operation component according to the operation data comprises the following steps: calculating a service life value of the target operation component by using a first formula or a second formula;
The first formula is:
The second formula is:
Wherein L f is used for representing a service life value of the target operation component, n is used for representing operation times of the target operation component in the operation data, R n is used for representing a rotating speed corresponding to the target operation component in nth operation, T n' is used for representing an operation duration corresponding to the target operation component in nth operation, R max is used for representing a maximum rotating speed corresponding to the target operation component in the operation data, and R min is used for representing a minimum rotating speed corresponding to the target operation component in the operation data.
2. The method of claim 1, wherein,
When the target operational component is a bearing of an input motor or a bearing within a gearbox, the impact factors include: at least one of load power, temperature, vibration time domain and vibration frequency energy duty ratio of the load;
when the target operational component is a rotating shaft in the gearbox, the influencing factors include: at least one of temperature, vibration time domain and vibration frequency energy duty cycle;
When the target operational component is a gear within the gearbox, the impact factors include: at least one of load power of the load, vibration time domain, vibration frequency energy duty ratio, inlet oil temperature corresponding to a lubrication system for lubricating gears in the gear box, inlet flow corresponding to a lubrication system for lubricating gears in the gear box and pollution index influenced by environment in the gear box.
3. The method of claim 2, wherein the obtaining the monitored value of the current impact factor comprises:
when the current influence factor is the load power of the born load, calculating a monitoring value of the current influence factor by using the following third formula;
The third formula is:
Wherein P is used for representing a monitoring value corresponding to the load power of the born load, U is used for representing the end line voltage of the input motor, I is used for representing the end line current of the input motor, The method comprises the steps of representing an operation power factor of an input motor, wherein eta represents the operation efficiency of the input motor;
And/or the number of the groups of groups,
When the current influence factor is a vibration time domain, calculating a monitoring value of the current influence factor by using the following fourth formula;
the fourth formula is:
wherein V r,m,s is used for representing a monitoring value corresponding to the vibration time domain, T is used for representing sampling time, and V (T) is used for representing vibration speed;
And/or the number of the groups of groups,
When the current influence factor is the vibration frequency energy duty ratio, calculating a monitoring value of the current influence factor by using a fifth formula;
the fifth formula is:
Wherein, the percentage is used for representing the monitoring value corresponding to the energy duty ratio of the vibration frequency, One-dimensional vector corresponding to spectrum for representing operation component x,/>The total energy spectrum used to characterize the target operational component x corresponds to a one-dimensional vector.
4. The method of claim 1, wherein said correcting the remaining life calculation value using the obtained life coefficients to obtain a remaining life prediction value of the target operating component comprises:
calculating a residual life prediction value of the target operation component by using the following sixth formula or seventh formula;
The sixth formula is:
The seventh formula is:
Wherein, L r is used for representing the predicted value of the residual life of the target operation component, L r-c is used for representing the calculated value of the residual life, and C m is used for representing the life coefficient corresponding to the mth influence factor.
5. The method of any of claims 1-4, wherein after said deriving a residual life prediction value for the target operational component, further comprising:
after confirming that the target operating component is grease treated, the remaining life prediction value is increased.
6. A device for predicting the remaining life of an operational component in a lifting mechanism, comprising:
A remaining life calculation value determining module (201) for obtaining a remaining life calculation value of the target operating component;
An impact factor determination module (202) for determining at least one impact factor that affects the remaining life of the target operational component;
-a life factor obtaining module (203) for, for each of said impact factors, performing:
acquiring a monitoring value of a current influence factor;
determining a monitoring value range in which the monitoring value of the current influence factor is located according to the corresponding relation among the pre-constructed influence factor, the monitoring value range and the life coefficient; and
Obtaining a life coefficient corresponding to the current influence factor and the determined monitoring value range according to the corresponding relation;
a prediction module (204) for correcting the calculated remaining life value by using the obtained life coefficients to obtain a predicted remaining life value of the target operating component,
Wherein the remaining life calculation value determination module (201) includes:
A first determining unit (2011) for determining a total life calculation value corresponding to the target operating component before use;
an acquisition unit (2012) for acquiring operation data of the target operation component;
A first calculation unit (2013) for calculating a lifetime value of the target operating component based on the operating data; and
A second determining unit (2014) for determining a difference between the determined total life calculation value and the used life value as the remaining life calculation value of the operating component,
The operation data comprise the corresponding rotating speed and the corresponding operation duration of the target operation component in the operation process;
The first computing unit (2013) includes: a computing subunit (20131);
-the calculation subunit (20131) for calculating a value of the lifetime of the target operational component using a first formula or a second formula;
The first formula is:
The second formula is:
Wherein L f is used for representing a service life value of the target operation component, n is used for representing operation times of the target operation component in the operation data, R n is used for representing a rotating speed corresponding to the target operation component in nth operation, T n' is used for representing an operation duration corresponding to the target operation component in nth operation, R max is used for representing a maximum rotating speed corresponding to the target operation component in the operation data, and R min is used for representing a minimum rotating speed corresponding to the target operation component in the operation data.
7. The apparatus of claim 6, wherein the life factor acquisition module (203) comprises: a monitor value acquisition unit (2031);
The monitoring value obtaining unit (2031) is configured to calculate, when the current impact factor is the load power of the load, a monitoring value of the current impact factor according to the following third formula;
The third formula is:
Wherein P is used for representing a monitoring value corresponding to the load power of the born load, U is used for representing the end line voltage of the input motor, I is used for representing the end line current of the input motor, The method comprises the steps of representing an operation power factor of an input motor, wherein eta represents the operation efficiency of the input motor;
And/or the number of the groups of groups,
The monitoring value obtaining unit (2031) is configured to calculate, when the current influence factor is in a vibration time domain, a monitoring value of the current influence factor using a fourth formula described below;
the fourth formula is:
wherein V r,m,s is used for representing a monitoring value corresponding to the vibration time domain, T is used for representing sampling time, and V (T) is used for representing vibration speed;
And/or the number of the groups of groups,
The monitoring value obtaining unit (2031) is configured to calculate, when the current influence factor is a vibration frequency energy duty ratio, a monitoring value of the current influence factor using a fifth formula described below;
the fifth formula is:
Wherein, the percentage is used for representing the monitoring value corresponding to the energy duty ratio of the vibration frequency, One-dimensional vector corresponding to spectrum for representing operation component x,/>The total energy spectrum used to characterize the target operational component x corresponds to a one-dimensional vector.
8. The apparatus of claim 6, wherein the prediction module (204) comprises: a second calculation unit (2041);
-the second calculation unit (2041) for calculating a residual life prediction value of the target operating component using the following sixth or seventh formula;
The sixth formula is:
The seventh formula is:
Wherein, L r is used for representing the predicted value of the residual life of the target operation component, L r-c is used for representing the calculated value of the residual life, and C m is used for representing the life coefficient corresponding to the mth influence factor.
9. The apparatus of any of claims 6-8, further comprising: an update module (205);
The update module (205) is configured to increase the residual life prediction value after confirming that the target operating component is grease treated.
10. A computing device, comprising: at least one memory (801) and at least one processor (802);
The at least one memory (801) for storing a machine readable program;
the at least one processor (802) configured to invoke the machine readable program to perform the method of any of claims 1 to 5.
11. A computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1 to 5.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104335022A (en) * | 2012-04-24 | 2015-02-04 | Skf公司 | Bearing monitoring method and system |
| CN105740625A (en) * | 2016-01-31 | 2016-07-06 | 太原科技大学 | Real time residual life prediction method of gear |
| CN111666673A (en) * | 2020-06-01 | 2020-09-15 | 润电能源科学技术有限公司 | Method and device for monitoring service life of boiler superheater, storage medium and equipment |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9450833B2 (en) * | 2014-03-26 | 2016-09-20 | International Business Machines Corporation | Predicting hardware failures in a server |
| US11269747B2 (en) * | 2018-03-08 | 2022-03-08 | Symbol Technologies, Llc | Method, system and apparatus for assessing application impact on memory devices |
-
2020
- 2020-11-27 CN CN202011362653.6A patent/CN112487579B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104335022A (en) * | 2012-04-24 | 2015-02-04 | Skf公司 | Bearing monitoring method and system |
| CN105740625A (en) * | 2016-01-31 | 2016-07-06 | 太原科技大学 | Real time residual life prediction method of gear |
| CN111666673A (en) * | 2020-06-01 | 2020-09-15 | 润电能源科学技术有限公司 | Method and device for monitoring service life of boiler superheater, storage medium and equipment |
Non-Patent Citations (2)
| Title |
|---|
| "基于非线性连续疲劳损伤的再制造毛坯剩余寿命评估";华亮等;《机械工程学报》;20151130;第51卷(第21期);第132-136页 * |
| "零件可靠性寿命评估模型及优化技术";张永生等;《机械设计》;20190731;第36卷(第7期);第113-118页 * |
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