CN116184200B - Health state assessment method and system for induction motor of oil transfer pump - Google Patents
Health state assessment method and system for induction motor of oil transfer pump Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/346—Testing of armature or field windings
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
The invention provides a health state assessment method and a system of an induction motor of an oil transfer pump, which relate to the technical field of motor monitoring. The technical problems of insufficient objectivity and accuracy in the prior art for evaluating and judging the health state of the components of the induction motor and the whole health state of the induction motor are solved. The technical effect of objectively evaluating the health state of the induction motor of the oil transfer pump and improving the accuracy of the health state evaluation of the induction motor is achieved.
Description
Technical Field
The invention relates to the technical field of motor monitoring, in particular to a health state assessment method and system of an induction motor of an oil delivery pump.
Background
The detection and evaluation of the health state of the induction motor are important means for realizing the operation and maintenance of the induction motor in advance and reducing the hazard and severity of faults of the induction motor.
The current induction motor health assessment method is based on state data acquired in real time, extracts corresponding characteristic indexes for all the components, respectively assesses the health states of all the components of the induction motor according to the established characteristic index system, and further synthesizes the assessment results of all the components to judge the overall health state of the induction motor. However, the overall health state of the induction motor is judged by integrating the evaluation results of all the components, and a proper health state evaluation index is usually required to be established as an objective basis for the health evaluation of the induction motor.
In the prior art, the technical problems of insufficient objectivity and accuracy of the evaluation and judgment of the health state of the components of the induction motor and the whole health state of the induction motor exist.
Disclosure of Invention
The application provides a health state evaluation method and system of an induction motor of an oil transfer pump, which are used for solving the technical problems of objectivity and accuracy deficiency of the health state evaluation and judgment of the components of the induction motor and the whole health state of the induction motor in the prior art, achieving the objective evaluation of the health state of the induction motor of the oil transfer pump and improving the technical effect of the accuracy of the health state evaluation of the induction motor.
In view of the above problems, the present application provides a method and a system for evaluating the health status of an induction motor of an oil transfer pump.
In a first aspect of the present application, there is provided a method for evaluating a health status of an induction motor of an oil transfer pump, the method comprising: acquiring a motor health state evaluation feature set, wherein the motor health state evaluation feature set comprises rotor health features, stator health features, bearing health features and power supply quality health features; and the rotor health features include: rotor broken bar characteristic frequency amplitude and fundamental frequency amplitude; stator health characteristics include: a health level of negative sequence current imbalance, a health level of three-phase current amplitude imbalance, and a health level of third order harmonic content; bearing health characteristics include: the health level of the outer ring fault feature rate, the health level of the inner ring fault feature rate, the health level of the rolling body fault feature rate, the health level of the second order harmonic wave rate and the health level of the cage fault feature rate; the healthy characteristics of the power supply quality of the power supply comprise: health level of power factor, health level of voltage and current unbalance, health level of voltage harmonic distortion rate and health level of current harmonic amplitude of each order;
Calculating the health index of each part of the motor through the motor health state evaluation feature set, wherein the calculation formula is as follows:
wherein ,for the component health index, ++>For the number of health evaluation indexes involved, +.>Evaluating the characteristics of the motor health states for each characteristic index;
setting a semi-quantitative risk index RPN of each part of the motor, and combining part health index scores of each part to obtain a motor health index, wherein the calculation formula is as follows:
wherein ,for motor health index, < >>Weight coefficient based on RPN for nth component, +.>Is the health index of the nth component.
In a second aspect of the present application, there is provided a health status assessment system for an induction motor of an oil transfer pump, the system comprising: the health state feature acquisition module is used for acquiring a motor health state evaluation feature set, wherein the motor health state evaluation feature set comprises rotor health features, stator health features, bearing health features and power supply quality health features; and the rotor health features include: rotor broken bar characteristic frequency amplitude and fundamental frequency amplitude; stator health characteristics include: a health level of negative sequence current imbalance, a health level of three-phase current amplitude imbalance, and a health level of third order harmonic content; bearing health characteristics include: the health level of the outer ring fault feature rate, the health level of the inner ring fault feature rate, the health level of the rolling body fault feature rate, the health level of the second order harmonic wave rate and the health level of the cage fault feature rate; the healthy characteristics of the power supply quality of the power supply comprise: health level of power factor, health level of voltage and current unbalance, health level of voltage harmonic distortion rate and health level of current harmonic amplitude of each order;
The component health index calculation module is used for calculating the health index of each component of the motor through the motor health state evaluation feature set, and the calculation formula is as follows:
wherein ,for the component health index, ++>For the number of health evaluation indexes involved, +.>Evaluating the characteristics of the motor health states for each characteristic index;
the motor overall health index obtaining module is used for setting a semi-quantitative risk index RPN of each part of the motor, and obtaining a motor health index by combining part health index scores of each part, wherein the calculation formula is as follows:
wherein ,for motor health index, < >>Weight coefficient based on RPN for nth component, +.>Health index for nth part
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method provided by the embodiment of the application, the rotor health characteristic, the stator health characteristic, the bearing health characteristic and the power supply quality health characteristic are acquired and obtained, the health index of each part of the motor is calculated based on a part health index calculation formula, the semi-quantitative risk index RPN of each part of the motor is set, the part health index score of each part is combined, the motor health index is obtained, and the motor health index is used as a motor health state evaluation reference. The technical effect of objectively evaluating the health state of the induction motor of the oil transfer pump and improving the accuracy of the health state evaluation of the induction motor is achieved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic flow chart of a method for evaluating the health status of an induction motor of an oil transfer pump according to the present application;
FIG. 2 is a diagram illustrating stator health features generated in a method for evaluating health status of an induction motor of an oil transfer pump according to the present application;
fig. 3 is a schematic structural diagram of a health state evaluation system of an induction motor of an oil transfer pump provided by the present application.
Reference numerals illustrate: the system comprises a health state characteristic acquisition module 1, a component health index calculation module 2 and a motor whole machine health index acquisition module 3.
Detailed Description
The application provides a method and a system for evaluating the health state of an induction motor of an oil transfer pump, which are used for solving the technical problems of insufficient objectivity and accuracy in the evaluation and judgment of the health state of components of the induction motor and the overall health state of the induction motor in the prior art.
In the technical scheme, the acquisition, storage, use, processing and the like of the data all accord with related regulations.
In the following, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application, and the present application is not limited by the example embodiments described herein. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
Example 1
As shown in fig. 1, the present application provides a method for evaluating the health status of an induction motor of an oil transfer pump, the method comprising:
s100, acquiring a motor health state evaluation feature set, wherein the motor health state evaluation feature set comprises rotor health features, stator health features, bearing health features and power supply quality health features;
and the rotor health features include: rotor broken bar characteristic frequency amplitude and fundamental frequency amplitude;
stator health characteristics include: a health level of negative sequence current imbalance, a health level of three-phase current amplitude imbalance, and a health level of third order harmonic content;
Bearing health characteristics include: the health level of the outer ring fault feature rate, the health level of the inner ring fault feature rate, the health level of the rolling body fault feature rate, the health level of the second order harmonic wave rate and the health level of the cage fault feature rate;
the healthy characteristics of the power supply quality of the power supply comprise: health level of power factor, health level of voltage, current imbalance, health level of voltage harmonic distortion rate, and health level of current harmonic amplitude of each order.
Specifically, in this embodiment, the health status of each motor component in the induction motor of the oil transfer pump is determined, and the health status of each motor component of the oil transfer pump is comprehensively processed to generate an evaluation result for determining the overall health status of the induction motor of the oil transfer pump.
Therefore, the embodiment firstly obtains the motor health state evaluation feature set for representing the health state of each component part of the induction motor of the oil transfer pump, wherein the motor health state evaluation feature set specifically comprises a rotor health feature, a stator health feature, a bearing health feature and a power supply quality health feature.
Specifically, in the oil transfer pump induction motor, the rotor is a rotating component in the motor and is used for converting electric energy into mechanical energy, and the rotor health feature is used for representing the running health condition of the motor rotor, namely the oil transfer pump induction motor component.
The rotor health features are generated through calculation by acquiring rotor operation data, and the acquired rotor operation data specifically comprises rotor broken bar feature frequency amplitude values and fundamental frequency amplitude values. It should be understood that the rotor breaking refers to the situation that a copper bar in a motor rotor breaks due to the action of an electric torque (a starting torque and a braking torque) or the artificial action, and the embodiment collects the vibration frequency amplitude of the rotor when the motor runs under the condition of rotor breaking, and obtains the characteristic frequency amplitude of the rotor breaking. The method comprises the steps of obtaining the vibration frequency of a rotor of the oil transfer pump induction motor when the rated torque power supply is in power frequency based on equipment model information of the oil transfer pump induction motor, and obtaining the fundamental frequency amplitude of the rotor current. In the following description, this embodiment describes an optimal embodiment for calculating and obtaining the health characteristic of the rotor based on the frequency amplitude and the fundamental frequency amplitude of the rotor bar.
Specifically, in the induction motor of the oil transfer pump, the stator is a stationary part of the motor, the stator is used for generating a rotating magnetic field, the rotor is used for being cut by magnetic lines of force in the rotating magnetic field to generate induced electromotive force and an induced magnetic field, torque is output, and the stator health feature is used for representing the running health condition of the motor stator.
Preferably, the stator health feature may be generated by integrating a health level of a negative sequence current imbalance, a health level of a three-phase current amplitude imbalance and a health level of a third-order harmonic content, and the description of the preferred embodiment of the method for obtaining the rotor health feature is described in the following description of the embodiment.
In particular, in an induction motor for an oil transfer pump, the bearing is a supporting component for supporting a main shaft of the motor so that the motor (rotor) can rotate stably, and the health characteristic of the bearing is used for representing the running health condition of the bearing of the motor.
Preferably, the bearing health feature is generated according to the health level of the outer ring fault feature content, the health level of the inner ring fault feature content, the health level of the rolling element fault feature content, the health level of the second order harmonic content and the health level of the cage fault feature content, and the description of the best embodiment of the bearing health feature obtaining method is carried out in the following description of the embodiment.
It should be understood that the power supply quality of the motor operation power supply affects the motor operation condition, and further causes the motor health condition to change, so that the embodiment introduces the power supply quality health feature to participate in judging the overall health state of the induction motor of the oil transfer pump. The power supply quality health feature is used for representing the power supply health condition of the power supply.
Preferably, the health characteristic of the power supply quality is obtained by integrating the health level of the power factor, the health level of the voltage and current unbalance, the health level of the voltage harmonic distortion rate and the health level of the current harmonic amplitude of each order, and the description of the best embodiment of the method for obtaining the health characteristic of the bearing is carried out in the following description of the embodiment.
S200, calculating the health index of each part of the motor through the motor health state evaluation feature set, wherein the calculation formula is as follows:
wherein ,for the component health index, ++>For the number of health evaluation indexes involved, +.>Evaluating the characteristics of the motor health states for each characteristic index;
specifically, it should be understood that, in the embodiment, the method for obtaining each item of data in the motor health status evaluation feature set obtained in step S100 is different, and accordingly, the units of the obtained data are not uniform, so that in the embodiment, the rotor health feature, the stator health feature, the bearing health feature, and the power supply quality health feature in the motor health status evaluation feature set are normalized to obtain a dimensionless rotor health index, a stator health index, a bearing health index, and a power supply quality health index.
Specifically, the embodiment constructs a calculation formula for performing dimensionless processing on the health features of each component with dimensions to obtain health indexes of each component, where the specific formula is as follows:
in the above-mentioned formula(s),for the component health index, N is the number of related health evaluation indexes, < ->And evaluating the characteristics of the motor health states as the characteristic indexes.
Specifically, the actual health feature index quantity specifically performs a formula according to the motor health state evaluation feature set specifically including four items of rotor health feature, stator health feature, bearing health feature and power supply quality health featureFor example, in the case of rotor health index calculation>Setting 1, in the stator health index calculation, < > in the case of the stator health index calculation>Set to 3.
The health characteristics and the settings of all the components in the motor health state evaluation characteristic set are processedSubstituting the rotor health index, the stator health index, the bearing health index and the power supply quality health index into a formula one by one to perform calculation processing, so that the dimensionless rotor health index, the dimensionless stator health index, the dimensionless bearing health index and the dimensionless power supply quality health index are obtained.
The embodiment realizes the technical effect of providing a data basis for carrying out subsequent comprehensive processing on dimensionless data of health indexes of all parts so as to generate an evaluation result for judging the overall health state of the induction motor of the oil transfer pump.
S300, setting a semi-quantitative risk index RPN of each part of the motor, and combining part health index scores of each part to obtain a motor health index, wherein the calculation formula is as follows:
wherein ,for motor health index, < >>Weight coefficient based on RPN for nth component, +.>Is the health index of the nth component.
In one embodiment, the method further comprises:
s310, calculating a motor health index according to a formula, wherein the calculation formula is as follows:
wherein ,for motor health index, < >>Health index for supplying power to a power supply, < >>Is rotor health index>Is stator health index>Health index for drive-end bearing parts,/->Is a non-drive end bearing component health index.
In particular, it should be appreciated that the semi-quantitative risk index RPN reflects the severity, frequency, and detectability of component failures. In this embodiment, a semi-quantitative risk index RPN is set for the health index of each component of the motor, and the health index of the motor representing the overall health state of the induction motor of the oil transfer pump is obtained by calculating through a formula in combination with the component health index score of each component, wherein the specific calculation formula is as follows:
in the above-mentioned formula(s), For motor health index, < >>The weight coefficient based on RPN for the nth component,as for the health index of the nth component, in this embodiment, the component parts of the oil transfer pump induction motor may be roughly divided into a stator, a rotor, a bearing and a power supply, and based on the step S200, the health index of the component parts of the oil transfer pump induction motor specifically includes a rotor health index, a stator health index, a bearing health index and a power supply quality health index.
Thus willThe values of the rotor health index, the stator health index, the bearing health index and the power supply quality health index are respectively set as dimensionless rotor health index, stator health index, bearing health index and power supply quality health index, and the preset semi-quantitative risk indexes RPN corresponding to the stator, the rotor, the bearing and the power supply are respectively substituted into the formula one by one to be calculated, so that the motor health index is generated>。
Furthermore, in order to improve the numerical accuracy of the motor health index, in this embodiment, bearing components in component components of the oil transfer pump induction motor are further subdivided, and specifically, the bearing components are split into a driving end bearing component and a non-driving end bearing component.
Generating the driving end bearing component health feature through the health level of the outer ring fault feature content, the health level of the inner ring fault feature content and the health level of the second order harmonic content, and further obtaining the driving end bearing component health index through step S200. Generating the non-drive end bearing component health characteristics from the health level of the rolling element fault signature content, the health level of the cage fault signature content, and the health level of the second order harmonic content, and further obtaining the non-drive end bearing component health index through step S200. Description of the preferred embodiments of the drive end bearing component health features and the non-drive end bearing component health feature acquisition methods will be made in the following description of the present embodiments.
The risk index of semi-quantification of the power supply quality of the power supply is set to 11.7%, the risk index of semi-quantification of the rotor part is set to 5.0%, the risk index of semi-quantification of the stator part is set to 36.7%, the risk index of semi-quantification of the bearing part at the driving end is set to 23.3%, and the risk index of the bearing part at the non-driving end is set to 23.3%.
On the basis of setting the risk index of the changing component, a calculation formula for calculating and obtaining the health index of the motor is constructed, and the specific formula is as follows:
wherein ,for motor health index, < >>Health index for supplying power to a power supply, < >>Is rotor health index>Is stator health index>Health index for drive-end bearing parts,/->Is a non-drive end bearing component health index.
Substituting the calculated rotor health index, stator health index, power supply quality health index, non-driving end bearing part health index and driving end bearing part health index into the formula, and calculating to obtain the motor health index for accurately and objectively evaluating the health state of the induction motor of the oil transfer pump.
According to the embodiment, the motor health index for objectively evaluating the health state of the induction motor of the oil delivery pump is obtained on the basis of the health index for objectively evaluating each part of the motor, and the technical effect of improving the accuracy of the evaluation of the health state of the induction motor is achieved.
In one embodiment, the method further comprises:
s111, calculating the health characteristics of the rotor according to the characteristic frequency amplitude of the rotor broken bar and the fundamental frequency amplitude, wherein the calculation formula is as follows:
wherein ,for rotor broken bar characteristic frequency amplitude, +.>Is the fundamental frequency amplitude.
Specifically, this embodiment is a refinement of step S100, and is also the best embodiment for generating the stator health features. The embodiment constructs a formula for calculating the health characteristics of the rotor based on the rotor bar breaking characteristic frequency amplitude and the fundamental frequency amplitude, and the concrete calculation formula is as follows:
in the formula (i) the formula (ii),for rotor health characteristics->For rotor broken bar characteristic frequency amplitude, +.>For the fundamental frequency amplitude +.>Is a rotor health feature.
In this embodiment, the rotor vibration frequency amplitude of the oil transfer pump induction motor during operation is collected under the condition of rotor breakage, the rotor breakage characteristic frequency amplitude is obtained, and the fundamental frequency amplitude of the rotor current is obtained when the oil transfer pump induction motor is in power frequency of a power supply according to the equipment model information of the oil transfer pump induction motor.
Substituting the obtained rotor broken bar characteristic frequency amplitude and the obtained fundamental frequency amplitude into a calculation formula of rotor health characteristics to obtain the rotor health characteristics of the induction motor of the oil transfer pump in the embodiment.
In one embodiment, as shown in fig. 2, the method further comprises:
s121, respectively carrying out health grading evaluation according to the health level of the negative sequence current unbalance degree, the health level of the three-phase current amplitude unbalance degree and the health level of the third-order harmonic content;
s122, integrating the health grading evaluation result, and carrying out health grade influence weighted calculation through a preset weight value to generate stator health characteristics.
Specifically, in the present embodiment, a formula for calculating the negative sequence current unbalance is constructed, and a specific calculation formula is as follows:
in the formula (i) the formula (ii),is the root mean square value of the negative sequence current, +.>Is the root mean square value of the positive sequence current, +.>Is a health index of negative sequence current imbalance. The embodiment constructs a formula for calculating the unbalance of the three-phase current amplitude, and the specific calculation formula is as follows:
in the formula (i) the formula (ii),current of U, V, W three phases, respectively, +.>Is a health index of three-phase current amplitude imbalance.
In this embodiment, a formula for calculating the third-order harmonic content is constructed, and the specific calculation formula is as follows:
in the formula (i) the formula (ii),amplitude of third order harmonic +.>For the amplitude of the fundamental wave, +.>Is a health index of the third order harmonic content.
It should be noted that in the present embodiment, the health classification evaluation method for performing health classification evaluation based on the health index of the negative-sequence current unbalance degree, the health index of the three-phase current amplitude unbalance degree, and the health index of the third-order harmonic content, respectively, has consistency.
In this embodiment, a method for obtaining a health grading evaluation result of the negative sequence current unbalance degree by performing health grading evaluation according to a health index of the negative sequence current unbalance degree is taken as an example, and detailed explanation of the health grading evaluation method is performed.
The health level classification threshold is preset, the health level classification threshold comprises four continuous numerical intervals which are opened and closed in front and closed in back, and the four numerical intervals respectively correspond to excellent, good, medium and bad health levels according to the numerical range from large to small.
Constructing a health grading evaluation formula:
wherein F is the calculated health index,formula for calculating health level when health index belongs to excellent health level>Formula for calculating health grade for the case where the health index belongs to a good health grade>Formula for calculating health grade when health index belongs to middle health grade>Formula for calculating health level when health index belongs to poor health level, +.>For the upper bound of each health interval,/>and for the lower bound of each health interval, the upper and lower bound values of the health interval are set values when the health level classification threshold is preset.
Traversing a preset health level classification threshold based on obtaining the health index of the negative sequence current imbalance degree To determine a formula for use in health grading evaluation based on the health index of the negative sequence current imbalance. The health index of the negative sequence current imbalance is taken as +.>Substituting the negative sequence current unbalance degree into a corresponding health grading evaluation formula to obtain a health grading evaluation result of the negative sequence current unbalance degree.
By adopting the same method, firstly determining health indexes of the three-phase current amplitude unbalance degree and health grading evaluation formulas which are required to be called by the health indexes of the third-order harmonic content, and then further calculating to obtain health grading evaluation results of the three-phase current amplitude unbalance degree and health grading evaluation results of the third-order harmonic content.
It will be appreciated that for a component, it is necessary to integrate the health grading assessment of the plurality of component parts that make up the component to obtain said stator health characteristics that characterize the overall operating health of the component. Specifically, the present embodiment constructs a health level weighting calculation formula:
wherein ,number of health rating results for participation in weight calculation, +.>And (5) evaluating the result for the nth health grade.
Integrating health grading evaluation result determinationAnd (3) substituting the health grading evaluation result of the negative sequence current unbalance into a health grade weighting calculation formula to perform health grade influence weighted calculation, substituting the health grading evaluation result of the three-phase current amplitude unbalance into the health grade weighting calculation formula to perform health grade influence weighted calculation, substituting the health grading evaluation result of the third-order harmonic content into the health grade weighting calculation formula to perform health grade influence weighted calculation, adding the health grade influence weighted calculation results of the health grading evaluation results, and generating the stator health feature.
In one embodiment, the method further comprises:
s131, setting the grading level of the outer ring fault characteristic content, the grading level of the inner ring fault characteristic content, the grading level of the rolling element fault characteristic content, the grading level of the second order harmonic content and the grading level of the retainer fault characteristic content;
s132, performing characteristic value attribution analysis through the grading level of the fault characteristic content of the outer ring, the grading level of the fault characteristic content of the inner ring, the grading level of the fault characteristic content of the rolling body, the grading level of the second-order harmonic content and the grading level of the fault characteristic content of the retainer, and determining the health level of each characteristic according to attribution analysis results;
and S133, generating the health characteristics of the bearing based on the health level of each characteristic.
Specifically, in this embodiment, a formula for calculating the content of the failure characteristic frequency of the outer ring is constructed, and the specific formula is as follows:
wherein ,health index of the content of the characteristic frequency of the failure of the outer ring of the 1 st order,>is at the frequency ofCurrent amplitude, ">Health index of the characteristic frequency content of 2-order outer ring faults,>for the frequency of +.>Current amplitude, ">Is the fault characteristic frequency of the outer ring. / >Representing the diameter of the rolling elements; />Representing the diameter of the bearing pitch circle; alpha represents a contact angle; z represents the number of rolling elements; />Indicating the rotational frequency of the spindle.
The health index of the characteristic content of the outer ring faults is the sum result of the health index of the characteristic frequency content of the outer ring faults of 1 order and the health index of the characteristic frequency content of the outer ring faults of 2 order.
In this embodiment, a formula for calculating the content of the fault characteristic frequency of the inner ring is constructed, and the specific formula is as follows:
wherein ,health index of 1-order inner ring fault characteristic frequency content,>at a frequency ofCurrent amplitude, ">Health index of the content of the characteristic frequency of the inner ring failure of the order 2,>for the frequency of +.>Current amplitude, ">As the characteristic frequency of the inner ring failure,d representing the diameter of the rolling elements;Drepresenting the diameter of the bearing pitch circle;αrepresents the contact angle;zrepresenting the number of rolling elements; />Indicating the rotational frequency of the spindle.
The health index of the characteristic content of the inner ring faults is the sum result of the health index of the characteristic frequency content of the inner ring faults of 1 order and the health index of the characteristic frequency content of the inner ring faults of 2 order.
In the embodiment, a formula for calculating the fault characteristic frequency content of the retainer is constructed, and the specific formula is as follows:
wherein ,health index for the content of the characteristic frequency of 1-order cage failure, +.>At a frequency ofCurrent amplitude, ">Health index for the frequency of failure characteristic of a 2-stage cage,/a>For the frequency of +.>Current amplitude, ">For the characteristic frequency of cage failure, < > for>Representing the diameter of the rolling elements; d represents the diameter of the pitch circle of the bearing; />Represents the contact angle; />Indicating the rotational frequency of the spindle.
The health index of the retainer fault characteristic rate is the sum result of the health index of the retainer fault characteristic rate of 1 order and the health index of the retainer fault characteristic rate of 2 order.
The embodiment constructs a formula for calculating the second order harmonic content, and the specific formula is as follows:
in the formula (i) the formula (ii),is the amplitude of the second order harmonic, +.>For the amplitude of the fundamental wave, +.>Is a health index of the second order harmonic content.
In the embodiment, a formula for calculating the fault characteristic content of the rolling element is constructed, and the concrete formula is as follows:
wherein ,health index for the frequency of failure characteristics of the rolling elements of order 1, +.>At a frequency ofCurrent amplitude, ">Health index for the frequency of failure characteristics of order 2 rolling elements, +.>For the frequency of +.>Current amplitude, ">For the characteristic frequency of the rolling element failure, < > >Representing the diameter of the rolling elements; />Representing the diameter of the bearing pitch circle; />Represents the contact angle; />Indicating the rotational frequency of the spindle.
The health index of the rolling element fault characteristic rate is the sum of the health index of the 1-order rolling element fault characteristic rate and the health index of the 2-order rolling element fault characteristic rate.
In this embodiment, the classification level is identical to the meaning of the health classification evaluation result in step S121, and performing the attribute analysis of the feature value is the health classification evaluation in step S121.
According to the embodiment, on the basis of obtaining the health indexes of each index, the same method of health grading evaluation is adopted in the step S121, and the grading level of the outer ring fault characteristic content, the grading level of the inner ring fault characteristic content, the grading level of the rolling body fault characteristic content, the grading level of the second-order harmonic content and the grading level of the retainer fault characteristic content are obtained.
The health level of each index is determined by the same method for determining the health level in step S122 based on the hierarchical level of each feature and the health index. And further, by adopting the same method of step S122, the bearing health feature is generated based on the health level of the outer ring fault feature content, the health level of the inner ring fault feature content, the health level of the rolling element fault feature content, the health level of the second order harmonic content, and the health level of the cage fault feature content.
In one embodiment, the method further comprises:
s141, acquiring power health state related data and constructing a power data set;
s142, determining the health level of the power factor, the health level of the voltage and current unbalance degree, the health level of the voltage harmonic distortion rate and the health level of the current harmonic amplitude of each order through the power supply data set;
s143, generating power supply quality health features through the health level of the power factor, the health level of the voltage and current unbalance degree, the health level of the voltage harmonic distortion rate and the health level of the current harmonic amplitude of each order.
Specifically, in this embodiment, power health state related data is acquired and obtained, and a power data set is constructed, where the power health state related data specifically includes current data and voltage data.
A formula for calculating the unbalance degree of the current interphase is constructed, and the specific calculation formula is as follows:
/>
wherein ,health index for current imbalance, +.>Is a negative sequence current, +.>Is a positive sequence current.
And according to a current phase-to-phase unbalance calculation formula, performing corresponding data call on the power supply data set, and calculating to obtain the health index of the current phase-to-phase unbalance.
A formula for calculating the phase-to-phase unbalance of the voltage is constructed, and the specific calculation formula is as follows:
wherein ,health index for voltage imbalance, +.>Is a negative sequence voltage, ">Is a positive sequence voltage.
And according to a voltage phase-to-phase unbalance calculation formula, performing corresponding data call on the power supply data set, and calculating to obtain the health index of the voltage phase-to-phase unbalance.
In this embodiment, a formula for calculating the content of a harmonic in a voltage distortion waveform is constructed, and the specific calculation formula is as follows:
in the formula (i) the formula (ii),amplitude of harmonic, ++>For the amplitude of the fundamental wave, +.>Is a health index of voltage distortion harmonic content.
And according to a formula for calculating the content of a certain harmonic in the voltage distortion waveform, performing corresponding data call on the power supply data set, and calculating to obtain the health index of the content of the voltage distortion harmonic.
In this embodiment, a formula for calculating the content of a harmonic in a current distortion waveform is constructed, and the specific calculation formula is as follows:
in the formula +.>Amplitude of harmonic, ++>For the amplitude of the fundamental wave, +.>Is a health index of the harmonic content of current distortion.
And according to a formula for calculating the content of a certain harmonic in the current distortion waveform, performing corresponding data call on the power supply data set, and calculating to obtain the health index of the content of the current distortion harmonic.
In this embodiment, a formula for calculating the total harmonic distortion of the voltage harmonic is constructed, and the specific calculation formula is as follows:
in the formula (i) the formula (ii),is the standard deviation amplitude>For the amplitude of the fundamental wave, +.>Is a health index of the total harmonic distortion rate of the voltage harmonics.
And according to a formula for calculating the total harmonic distortion rate of the voltage harmonic, performing corresponding data call on the power supply data set, and calculating to obtain the health index of the total harmonic distortion rate of the voltage harmonic.
In this embodiment, a formula for calculating the total harmonic distortion of the current harmonic is constructed, and the specific calculation formula is as follows:
/>
in the formula (i) the formula (ii),is the standard deviation amplitude>For the amplitude of the fundamental wave, +.>Is a health index of the total harmonic distortion rate of the current harmonic.
And according to a formula for calculating the total harmonic distortion rate of the current harmonic, performing corresponding data call on the power supply data set, and calculating to obtain the health index of the total harmonic distortion rate of the current harmonic.
On the basis of obtaining the health index of each index, the same method as in step S121 is adopted to obtain the health level of the power factor, the health level of the voltage and current unbalance degree, the health level of the voltage harmonic distortion rate and the health level of the current harmonic amplitude of each order.
And further, by adopting the same method of step S122, the health characteristics of the power supply quality are generated through the health level of the power factor, the health level of the voltage and current unbalance, the health level of the voltage harmonic distortion rate and the health level of the current harmonic amplitude of each step.
Example two
Based on the same inventive concept as the method for evaluating the health status of an induction motor of an oil transfer pump in the foregoing embodiments, as shown in fig. 3, the present application provides a system for evaluating the health status of an induction motor of an oil transfer pump, where the system includes:
the health state feature acquisition module 1 is used for acquiring a motor health state evaluation feature set, wherein the motor health state evaluation feature set comprises a rotor health feature, a stator health feature, a bearing health feature and a power supply quality health feature;
and the rotor health features include: rotor broken bar characteristic frequency amplitude and fundamental frequency amplitude;
stator health characteristics include: a health level of negative sequence current imbalance, a health level of three-phase current amplitude imbalance, and a health level of third order harmonic content;
bearing health characteristics include: the health level of the outer ring fault feature rate, the health level of the inner ring fault feature rate, the health level of the rolling body fault feature rate, the health level of the second order harmonic wave rate and the health level of the cage fault feature rate;
The healthy characteristics of the power supply quality of the power supply comprise: health level of power factor, health level of voltage and current unbalance, health level of voltage harmonic distortion rate and health level of current harmonic amplitude of each order;
the component health index calculation module 2 is configured to calculate the health index of each component of the motor according to the motor health status evaluation feature set, where the calculation formula is as follows:
wherein ,for the component health index, ++>For the number of health evaluation indexes involved, +.>Evaluating the characteristics of the motor health states for each characteristic index;
the motor overall health index obtaining module 3 is configured to set a risk index RPN of each component of the motor in a semi-quantitative manner, and combine the component health index scores of each component to obtain a motor health index, where a calculation formula is as follows:
wherein ,for motor health index, < >>Weight coefficient based on RPN for nth component, +.>Is the health index of the nth component.
In one embodiment, the system further comprises:
the rotor health characteristic calculation unit is used for calculating the rotor health characteristic according to the rotor broken bar characteristic frequency amplitude and the fundamental frequency amplitude, and the calculation formula is as follows:
wherein ,for rotor broken bar characteristic frequency amplitude, +. >Is the fundamental frequency amplitude.
In one embodiment, the system further comprises:
the health grading evaluation unit is used for respectively carrying out health grading evaluation according to the health level of the negative sequence current unbalance degree, the health level of the three-phase current amplitude unbalance degree and the health level of the third-order harmonic content;
the stator health feature generation unit is used for integrating the health grading evaluation result, and carrying out health grade influence weighted calculation through a preset weight value to generate stator health features.
In one embodiment, the system further comprises:
the grading level setting unit is used for setting the grading level of the outer ring fault characteristic content, the grading level of the inner ring fault characteristic content, the grading level of the rolling element fault characteristic content, the grading level of the second order harmonic content and the grading level of the retainer fault characteristic content;
the health level attribution analysis unit is used for carrying out characteristic value attribution analysis through the grading level of the outer ring fault characteristic content, the grading level of the inner ring fault characteristic content, the grading level of the rolling body fault characteristic content, the grading level of the second-order harmonic content and the grading level of the retainer fault characteristic content, and determining the health level of each characteristic according to attribution analysis results;
And the bearing health feature generation unit is used for generating the bearing health features based on the health levels of the features.
In one embodiment, the system further comprises:
the associated data acquisition unit is used for acquiring associated data of the health state of the power supply and constructing a power supply data set;
a health level determining unit, configured to determine, through the power supply data set, a health level of the power factor, a health level of the voltage and current imbalance, a health level of the voltage harmonic distortion rate, and a health level of the current harmonic amplitude of each order;
and the health level processing unit is used for generating power supply quality health characteristics through the health level of the power factor, the health level of the voltage and current unbalance degree, the health level of the voltage harmonic distortion rate and the health level of the current harmonic amplitude of each order.
In one embodiment, the system further comprises:
the motor health index calculation unit is used for obtaining the motor health index through formula calculation, and the calculation formula is as follows:
wherein ,for motor health index, < >>Health index for supplying power to a power supply, < >>Is rotor health index>Is stator health index >Health index for drive-end bearing parts,/->Is a non-drive end bearing component health index.
The method and the specific example for evaluating the health status of an induction motor of an oil pump in the first embodiment are also applicable to the system for evaluating the health status of an induction motor of an oil pump in the present embodiment, and those skilled in the art can clearly understand the system for evaluating the health status of an induction motor of an oil pump in the present embodiment through the foregoing detailed description of the method for evaluating the health status of an induction motor of an oil pump, so that the description is omitted herein for brevity. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (3)
1. A method for evaluating the health status of an induction motor of an oil transfer pump, the method comprising:
acquiring a motor health state evaluation feature set, wherein the motor health state evaluation feature set comprises rotor health features, stator health features, bearing health features and power supply quality health features;
and the rotor health features include: rotor broken bar characteristic frequency amplitude and fundamental frequency amplitude;
stator health characteristics include: a health level of negative sequence current imbalance, a health level of three-phase current amplitude imbalance, and a health level of third order harmonic content;
bearing health characteristics include: the health level of the outer ring fault feature rate, the health level of the inner ring fault feature rate, the health level of the rolling body fault feature rate, the health level of the second order harmonic wave rate and the health level of the cage fault feature rate;
the healthy characteristics of the power supply quality of the power supply comprise: health level of power factor, health level of voltage and current unbalance, health level of voltage harmonic distortion rate and health level of current harmonic amplitude of each order;
calculating the health index of each part of the motor through the motor health state evaluation feature set, wherein the calculation formula is as follows:
wherein ,for the component health index, ++>For the number of health evaluation indexes involved, +.>Evaluating the characteristics of the motor health states for each characteristic index;
setting a semi-quantitative risk index RPN of each part of the motor, and combining part health index scores of each part to obtain a motor health index, wherein the calculation formula is as follows:
wherein ,for motor health index, < >>Weight coefficient based on RPN for nth component, +.>Health index for the nth component;
setting the grading level of the outer ring fault characteristic content, the grading level of the inner ring fault characteristic content, the grading level of the rolling body fault characteristic content, the grading level of the second order harmonic content and the grading level of the retainer fault characteristic content;
performing characteristic value attribution analysis through the grading level of the outer ring fault characteristic content, the grading level of the inner ring fault characteristic content, the grading level of the rolling body fault characteristic content, the grading level of the second order harmonic content and the grading level of the retainer fault characteristic content, and determining the health level of each characteristic according to attribution analysis results;
generating the bearing health feature based on the health level of each feature;
And carrying out rotor health characteristic calculation according to the rotor broken bar characteristic frequency amplitude and the fundamental frequency amplitude, wherein the calculation formula is as follows:
wherein ,for rotor broken bar characteristic frequency amplitude, +.>Is the amplitude of the fundamental frequency;
respectively carrying out health grading evaluation according to the health level of the negative sequence current unbalance degree, the health level of the three-phase current amplitude unbalance degree and the health level of the third-order harmonic content;
integrating the health grading evaluation result, and carrying out health grade influence weighted calculation through a preset weight value to generate stator health characteristics;
acquiring power health state associated data, and constructing a power data set;
determining the health level of the power factor, the health level of the voltage and current unbalance degree, the health level of the voltage harmonic distortion rate and the health level of the current harmonic amplitude of each order through the power supply data set;
generating power supply quality health features through the health level of the power factor, the health level of the voltage and current unbalance degree, the health level of the voltage harmonic distortion rate and the health level of the current harmonic amplitude of each order.
2. The method of claim 1, wherein the method comprises:
The motor health index is obtained through formula calculation, and the calculation formula is as follows:
wherein ,for motor health index, < >>Health index for supplying power to a power supply, < >>Is rotor health index>Is stator health index>Health index for drive-end bearing parts,/->Is a non-drive end bearing component health index.
3. A health status assessment system for an induction motor of an oil transfer pump, the system comprising:
the health state feature acquisition module is used for acquiring a motor health state evaluation feature set, wherein the motor health state evaluation feature set comprises rotor health features, stator health features, bearing health features and power supply quality health features;
and the rotor health features include: rotor broken bar characteristic frequency amplitude and fundamental frequency amplitude;
stator health characteristics include: a health level of negative sequence current imbalance, a health level of three-phase current amplitude imbalance, and a health level of third order harmonic content;
bearing health characteristics include: the health level of the outer ring fault feature rate, the health level of the inner ring fault feature rate, the health level of the rolling body fault feature rate, the health level of the second order harmonic wave rate and the health level of the cage fault feature rate;
The healthy characteristics of the power supply quality of the power supply comprise: health level of power factor, health level of voltage and current unbalance, health level of voltage harmonic distortion rate and health level of current harmonic amplitude of each order;
the component health index calculation module is used for calculating the health index of each component of the motor through the motor health state evaluation feature set, and the calculation formula is as follows:
wherein ,for the component health index, ++>For the number of health evaluation indexes involved, +.>Evaluating the characteristics of the motor health states for each characteristic index;
the motor overall health index obtaining module is used for setting a semi-quantitative risk index RPN of each part of the motor, and obtaining a motor health index by combining part health index scores of each part, wherein the calculation formula is as follows:
wherein ,for motor health index, < >>Weight coefficient based on RPN for nth component, +.>Health index for the nth component;
the grading level setting unit is used for setting the grading level of the outer ring fault characteristic content, the grading level of the inner ring fault characteristic content, the grading level of the rolling element fault characteristic content, the grading level of the second order harmonic content and the grading level of the retainer fault characteristic content;
The health level attribution analysis unit is used for carrying out characteristic value attribution analysis through the grading level of the outer ring fault characteristic content, the grading level of the inner ring fault characteristic content, the grading level of the rolling body fault characteristic content, the grading level of the second-order harmonic content and the grading level of the retainer fault characteristic content, and determining the health level of each characteristic according to attribution analysis results;
a bearing health feature generation unit for generating the bearing health feature based on the health level of each feature;
the rotor health characteristic calculation unit is used for calculating the rotor health characteristic according to the rotor broken bar characteristic frequency amplitude and the fundamental frequency amplitude, and the calculation formula is as follows:
wherein ,for rotor broken bar characteristic frequency amplitude, +.>Is the amplitude of the fundamental frequency;
the health grading evaluation unit is used for respectively carrying out health grading evaluation according to the health level of the negative sequence current unbalance degree, the health level of the three-phase current amplitude unbalance degree and the health level of the third-order harmonic content;
the stator health feature generation unit is used for integrating the health grading evaluation result, carrying out health level influence weighted calculation through a preset weight value and generating stator health features;
The associated data acquisition unit is used for acquiring associated data of the health state of the power supply and constructing a power supply data set;
a health level determining unit, configured to determine, through the power supply data set, a health level of the power factor, a health level of the voltage and current imbalance, a health level of the voltage harmonic distortion rate, and a health level of the current harmonic amplitude of each order;
and the health level processing unit is used for generating power supply quality health characteristics through the health level of the power factor, the health level of the voltage and current unbalance degree, the health level of the voltage harmonic distortion rate and the health level of the current harmonic amplitude of each order.
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