CN118052084B - Capacitor reliability prediction analysis method and system combining multiple working condition characteristics - Google Patents
Capacitor reliability prediction analysis method and system combining multiple working condition characteristics Download PDFInfo
- Publication number
- CN118052084B CN118052084B CN202410454635.2A CN202410454635A CN118052084B CN 118052084 B CN118052084 B CN 118052084B CN 202410454635 A CN202410454635 A CN 202410454635A CN 118052084 B CN118052084 B CN 118052084B
- Authority
- CN
- China
- Prior art keywords
- working condition
- correlation
- capacitor
- characteristic
- degradation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000003990 capacitor Substances 0.000 title claims abstract description 206
- 238000004458 analytical method Methods 0.000 title claims abstract description 18
- 238000012360 testing method Methods 0.000 claims abstract description 76
- 230000015556 catabolic process Effects 0.000 claims description 101
- 238000006731 degradation reaction Methods 0.000 claims description 101
- 238000000034 method Methods 0.000 claims description 50
- 230000001133 acceleration Effects 0.000 claims description 32
- 238000012544 monitoring process Methods 0.000 claims description 16
- 238000010998 test method Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000004088 simulation Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000010219 correlation analysis Methods 0.000 claims description 4
- 230000005856 abnormality Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 9
- 238000011835 investigation Methods 0.000 abstract description 6
- 239000004020 conductor Substances 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Landscapes
- Testing Electric Properties And Detecting Electric Faults (AREA)
- Fixed Capacitors And Capacitor Manufacturing Machines (AREA)
Abstract
The invention discloses a capacitor reliability prediction analysis method and a capacitor reliability prediction analysis system combining multiple working condition characteristics, which relate to the technical field of capacitance testing and comprise the following steps: collecting working condition parameters of the actual working environment of the capacitor; determining at least one high correlation operating condition characteristic; testing and obtaining initial performance of the capacitor; constructing a reliability change model of the capacitor; obtaining a change relation between a real-time parameter value and time of high-correlation working condition characteristics; substituting the change relation between the real-time parameter value and time of the high-correlation working condition characteristic into a reliability change model of the capacitor, and predicting and analyzing the residual reliability life of the capacitor. The invention has the advantages that: the service life prediction of the capacitor under the nonstandard use environment can be effectively realized, so that timely fault investigation and maintenance of the equipment capacitor by a user are realized, the intelligent maintenance planning of high-precision equipment can be realized, and the high-efficiency and stable operation of the equipment is ensured.
Description
Technical Field
The invention relates to the technical field of capacitance testing, in particular to a capacitor reliability prediction analysis method and system combining multiple-working-condition characteristics.
Background
A capacitor is an electronic component for storing electric charge and electric energy. It is composed of two conductor plates and medium, which may be air, paper, plastic, ceramic, etc. When a voltage is applied across the capacitor, charge accumulates between the two conductor plates, creating an electric field, thereby storing electrical energy. With the daily and monthly variation of electronic information technology, the updating speed of digital electronic products is faster and faster, the sales of consumer electronic products mainly including mobile phones, notebook computers, digital cameras and the like are continuously increased, and the capacitor industry is continuously increased.
In order to ensure that the quality of the capacitor meets the standard in the production and processing process, various tests are required to be carried out on the capacitor to obtain the standard use environment and the standard reliable service life of the capacitor, however, in the actual use process, the working environment of the capacitor cannot generally ensure that all working condition characteristics are in a standard interval, at the moment, the reliable service life of the capacitor is lack of effective means for prediction and control, so that a user cannot carry out timely fault investigation and maintenance of equipment capacitors in advance, and potential safety hazards exist.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provides a capacitor reliability prediction analysis method and system combining multiple working condition characteristics, and solves the problems that in the practical use process, the working environment of a capacitor cannot always ensure that all working condition characteristics are in a standard interval, and at the moment, the reliability life of the capacitor is lack of effective means for prediction and control, so that a user cannot conduct timely fault investigation and maintenance of equipment capacitance in advance, and potential safety hazards exist.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a method of predictive analysis of capacitor reliability incorporating multiple operational features, comprising:
collecting working condition parameters of the actual working environment of the capacitor to obtain parameter variation ranges of all working condition characteristics of the actual working environment of the capacitor;
Determining at least one high-correlation working condition characteristic based on the parameter variation ranges of all working condition characteristics;
testing and obtaining initial performance of the capacitor;
constructing a reliability change model of the capacitor based on each high-correlation working condition characteristic;
Real-time monitoring the actual parameter value of each high-correlation working condition characteristic of the actual working environment of the capacitor, and fitting a real-time parameter value and time change relation of the high-correlation working condition characteristic;
Substituting the change relation between the real-time parameter value and time of the high-correlation working condition characteristic into a reliability change model of the capacitor, and predicting and analyzing the residual reliability life of the capacitor.
Preferably, the determining at least one high-correlation operating condition characteristic based on the parameter variation ranges of all the operating condition characteristics specifically includes:
Determining fitting parameter values of all working condition characteristics based on parameter variation ranges of all working condition characteristics;
Based on a correlation test method, testing and analyzing a correlation index between each working condition characteristic and the degradation speed of the capacitor;
Judging whether working condition features with correlation indexes larger than a preset value exist, if so, marking all working condition features with correlation indexes larger than the preset value as high-correlation working condition features, and if not, marking the working condition feature with the maximum correlation index as high-correlation working condition features;
and recording all the non-high relevant working condition characteristics as standard relevant working condition characteristics.
Preferably, the correlation test method specifically includes:
determining the working condition characteristics to be analyzed, and recording the working condition characteristics to be analyzed;
all the working condition characteristics except the working condition characteristics to be analyzed in the test box are set as corresponding fitting parameter values;
Setting a test duration;
Uniformly or non-uniformly taking a plurality of sample values from the parameter variation range of the working condition characteristics to be analyzed;
setting a parameter value of a working condition characteristic to be analyzed in a test box as a sample value, and performing reliability test on the capacitor for a test duration to obtain the performance of the capacitor after the test;
determining a capacitor degradation speed corresponding to the sample value based on the initial performance of the capacitor and the tested capacitor performance;
Based on a sample value of the working condition characteristic to be analyzed and the capacitor degradation speed corresponding to the sample value, calculating a correlation index between the working condition characteristic and the capacitor degradation speed through a correlation calculation formula;
wherein, the formula of the capacitor degradation speed is:
In the method, in the process of the invention, As the degradation rate of the capacitor,For the initial performance of the capacitor,In order to test the performance of the capacitor after testing,Is the test duration;
the correlation calculation formula is as follows:
In the method, in the process of the invention, As an index of correlation between the operating characteristics and the rate of capacitor degradation,Is the j-th sample value of the operating mode characteristic,The capacitor degradation rate corresponding to the jth sample value of the operating mode characteristic,Is the total number of sample values of the operating condition characteristics,Standard deviation of all sample values for the operating mode characteristics,Standard deviation of degradation rate of all capacitors.
Preferably, the constructing the reliability variation model of the capacitor based on each high-correlation working condition characteristic specifically includes:
Determining the performance degradation reference speed of the capacitor under the current working environment based on the correlation test results of all standard correlation working condition characteristics;
constructing a degradation acceleration index change model of the high-correlation working condition characteristic based on the correlation test result of the high-correlation working condition characteristic;
Constructing a degradation acceleration model of the high-correlation working condition characteristic based on the degradation acceleration index of the high-correlation working condition characteristic;
determining a reliability change model of the capacitor based on degradation acceleration models of all high-correlation working condition characteristics;
the degradation acceleration model of the high-correlation working condition characteristic is specifically as follows:
In the method, in the process of the invention, For the degradation acceleration model of the ith high correlation operating mode feature,For the actual operating time of the capacitor,The degradation acceleration index change model for the ith high correlation operating mode feature,The method is characterized in that the method is a change relation between a real-time parameter value and time of an ith high-correlation working condition characteristic in the actual running time of the capacitor;
The reliability change model of the capacitor specifically comprises the following steps:
In the method, in the process of the invention, As a model of the reliability variation of the capacitor,Is the performance threshold for rejection of the capacitor,For the performance degradation reference speed of the capacitor in the current operating environment,Is the total number of high-correlation working condition characteristics.
Preferably, the determining the performance degradation reference speed of the capacitor in the current working environment based on the correlation test results of all the standard correlation working condition characteristics specifically includes:
Obtaining a correlation test result of each standard correlation working condition characteristic, and calculating an average value based on all capacitor degradation speeds in the correlation test result of the standard correlation working condition characteristic to be used as a degradation reference speed of the standard correlation working condition characteristic;
based on the Grabbs criterion, eliminating abnormal values in the degradation reference speeds of all standard related working condition characteristics, and then obtaining an average value to obtain the performance degradation reference speed of the capacitor in the current working environment;
The expression of the glabros criterion is:
In the method, in the process of the invention, The degradation reference speed for the o-th standard related operating characteristic,For the degradation reference speed average value of all standard related operating characteristics,The standard deviation of the degraded reference speed for all standard related operating characteristics,For the abnormality determination value obtained by a table of the gransbes, if the expression of the gransbes criterion is satisfiedIs an outlier.
Preferably, the degradation acceleration index change model of the high-correlation working condition characteristic specifically includes:
wherein, A degradation acceleration index change model for high-correlation working condition characteristics,Is the actual parameter value of the high correlation operating characteristic,And the capacitor degradation acceleration index corresponding to the jth sample value of the high-correlation working condition characteristic.
Furthermore, a system for predicting and analyzing the reliability of the capacitor combined with the multi-working condition features is provided, which is used for realizing the method for predicting and analyzing the reliability of the capacitor combined with the multi-working condition features, and comprises the following steps:
The environment acquisition equipment is used for acquiring working condition parameters of the actual working environment of the capacitor to obtain parameter variation ranges of all working condition characteristics of the actual working environment of the capacitor;
The simulation test module is electrically connected with the environment acquisition equipment, and is used for determining at least one high-correlation working condition characteristic based on the parameter variation range of all working condition characteristics, testing to obtain the initial performance of the capacitor, and constructing a reliability variation model of the capacitor based on each high-correlation working condition characteristic;
The real-time monitoring module is used for monitoring the actual parameter value of each high-correlation working condition characteristic of the actual working environment of the capacitor in real time and is used for monitoring the actual parameter value of each high-correlation working condition characteristic of the actual working environment of the capacitor in real time A change relation between a real-time parameter value and time of the high-correlation working condition characteristic;
The reliability prediction module is electrically connected with the simulation test module and the real-time monitoring module, and is used for substituting a real-time parameter value of the high-correlation working condition characteristic into a reliability change model of the capacitor according to a time change relation, so as to predict and analyze the residual reliability service life of the capacitor.
Optionally, the analog test module includes:
The correlation test unit is used for determining fitting parameter values of all working condition characteristics based on parameter variation ranges of all working condition characteristics, and testing and analyzing correlation indexes between each working condition characteristic and capacitor degradation speed based on a correlation test method;
The correlation determination unit is used for judging whether working condition characteristics with correlation indexes larger than a preset value exist or not, if yes, all working condition characteristics with correlation indexes larger than the preset value are marked as high correlation working condition characteristics, if not, the working condition characteristics with the maximum correlation indexes are marked as high correlation working condition characteristics, and meanwhile all non-high correlation working condition characteristics are marked as standard correlation working condition characteristics;
And the correlation analysis unit is used for constructing a reliability change model of the capacitor based on each high-correlation working condition characteristic.
Compared with the prior art, the invention has the beneficial effects that:
According to the capacitor reliability prediction analysis scheme combining multiple working conditions, the actual working environment of the capacitor is analyzed in advance, the working conditions which have obvious influence on the performance of the capacitor in the working environment are identified through testing and serve as analysis detection objects, the parameter values of the working conditions are subjected to fitting monitoring, the service life prediction of the capacitor in a non-standard use environment can be effectively achieved, further, a user can conduct timely fault investigation and maintenance of the capacitor of the device in advance, intelligent maintenance planning of high-precision equipment can be achieved, and high-efficiency and stable operation of the device can be guaranteed.
Drawings
FIG. 1 is a flow chart of a method for predicting and analyzing the reliability of a capacitor by combining multiple working conditions according to the present invention;
FIG. 2 is a flow chart of a method for determining at least one high correlation operating condition feature according to the present disclosure;
FIG. 3 is a flow chart of a correlation test method according to the present embodiment;
FIG. 4 is a flow chart of a method for constructing a reliability variation model of a capacitor according to the present embodiment;
FIG. 5 is a flow chart of a method for determining a reference speed of performance degradation of a capacitor in a current operating environment according to the present disclosure;
Fig. 6 is a block diagram of a capacitor reliability prediction analysis system combining multiple working conditions according to the present disclosure.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Referring to fig. 1, a method for predicting and analyzing reliability of a capacitor combined with multiple working conditions features includes:
collecting working condition parameters of the actual working environment of the capacitor to obtain parameter variation ranges of all working condition characteristics of the actual working environment of the capacitor;
Determining at least one high-correlation working condition characteristic based on the parameter variation ranges of all working condition characteristics;
testing and obtaining initial performance of the capacitor;
constructing a reliability change model of the capacitor based on each high-correlation working condition characteristic;
Real-time monitoring the actual parameter value of each high-correlation working condition characteristic of the actual working environment of the capacitor, and fitting a real-time parameter value and time change relation of the high-correlation working condition characteristic;
Substituting the change relation between the real-time parameter value and time of the high-correlation working condition characteristic into a reliability change model of the capacitor, and predicting and analyzing the residual reliability life of the capacitor.
According to the scheme, the actual working environment of the capacitor is analyzed in advance, the working condition characteristics which have obvious influence on the performance of the capacitor in the working environment are identified through testing and serve as analysis and detection objects, and the parameter values of the working condition characteristics are subjected to fitting monitoring, so that the service life prediction of the capacitor in a non-standard use environment can be effectively realized, and further, a user can conduct timely fault investigation and maintenance of equipment capacitance in advance.
Referring to FIG. 2, determining at least one high correlation operating condition characteristic based on the parameter variation ranges for all operating condition characteristics specifically includes:
Determining fitting parameter values of all working condition characteristics based on parameter variation ranges of all working condition characteristics;
Based on a correlation test method, testing and analyzing a correlation index between each working condition characteristic and the degradation speed of the capacitor;
Judging whether working condition features with correlation indexes larger than a preset value exist, if so, marking all working condition features with correlation indexes larger than the preset value as high-correlation working condition features, and if not, marking the working condition feature with the maximum correlation index as high-correlation working condition features;
and recording all the non-high relevant working condition characteristics as standard relevant working condition characteristics.
Referring to fig. 3, the correlation test method specifically includes:
determining the working condition characteristics to be analyzed, and recording the working condition characteristics to be analyzed;
all the working condition characteristics except the working condition characteristics to be analyzed in the test box are set as corresponding fitting parameter values;
Setting a test duration;
Uniformly or non-uniformly taking a plurality of sample values from the parameter variation range of the working condition characteristics to be analyzed;
setting a parameter value of a working condition characteristic to be analyzed in a test box as a sample value, and performing reliability test on the capacitor for a test duration to obtain the performance of the capacitor after the test;
determining a capacitor degradation speed corresponding to the sample value based on the initial performance of the capacitor and the tested capacitor performance;
Based on a sample value of the working condition characteristic to be analyzed and the capacitor degradation speed corresponding to the sample value, calculating a correlation index between the working condition characteristic and the capacitor degradation speed through a correlation calculation formula;
The calculation formula of the capacitor degradation speed is as follows:
In the method, in the process of the invention, As the degradation rate of the capacitor,For the initial performance of the capacitor,In order to test the performance of the capacitor after testing,Is the test duration;
the correlation calculation formula is as follows:
In the method, in the process of the invention, As an index of correlation between the operating characteristics and the rate of capacitor degradation,Is the j-th sample value of the operating mode characteristic,The capacitor degradation rate corresponding to the jth sample value of the operating mode characteristic,Is the total number of sample values of the operating condition characteristics,Standard deviation of all sample values for the operating mode characteristics,Standard deviation of degradation rate of all capacitors.
Wherein, in some embodiments, the fitted parameter value of the operating characteristic is taken as the median of the parameter variation range of the operating characteristic;
It can be understood that under different working environments, the main influencing parameters causing the capacitor performance degradation are different, for example, under a high vibration working environment, the capacitor is easy to generate poor contact at a contact point to cause performance degradation, at this time, vibration has a main influence on the capacitor performance degradation, and under a high temperature working environment, temperature change has a main influence on the capacitor performance degradation.
Referring to fig. 4, constructing a reliability variation model of the capacitor based on each of the high-correlation operating characteristics specifically includes:
Determining the performance degradation reference speed of the capacitor under the current working environment based on the correlation test results of all standard correlation working condition characteristics;
constructing a degradation acceleration index change model of the high-correlation working condition characteristic based on the correlation test result of the high-correlation working condition characteristic;
Constructing a degradation acceleration model of the high-correlation working condition characteristic based on the degradation acceleration index of the high-correlation working condition characteristic;
determining a reliability change model of the capacitor based on degradation acceleration models of all high-correlation working condition characteristics;
The degradation acceleration index change model of the high-correlation working condition characteristic is specifically as follows:
wherein, A degradation acceleration index change model for high-correlation working condition characteristics,Is the actual parameter value of the high correlation operating characteristic,Capacitor degradation acceleration index corresponding to the jth sample value of the high-correlation working condition characteristic;
The degradation acceleration model of the high-correlation working condition characteristic is specifically as follows:
In the method, in the process of the invention, For the degradation acceleration model of the ith high correlation operating mode feature,For the actual operating time of the capacitor,The degradation acceleration index change model for the ith high correlation operating mode feature,The method is characterized in that the method is a change relation between a real-time parameter value and time of an ith high-correlation working condition characteristic in the actual running time of the capacitor;
the reliability change model of the capacitor is specifically as follows:
In the method, in the process of the invention, As a model of the reliability variation of the capacitor,Is the performance threshold for rejection of the capacitor,For the performance degradation reference speed of the capacitor in the current operating environment,Is the total number of high-correlation working condition characteristics.
The service life of the capacitor is predicted by analyzing the linear change rule between the degradation acceleration proportion in the degradation acceleration process of the capacitor and the parameter values of the high-correlation working condition characteristics and combining the actual parameter dynamic change value of each high-correlation working condition characteristic in the actual operation process of the capacitor, and the residual reliability service life of the capacitor can be obtained by combining the current working time of the capacitor.
Referring to fig. 5, determining the performance degradation reference speed of the capacitor in the current working environment based on the correlation test results of all the standard correlation working condition characteristics specifically includes:
Obtaining a correlation test result of each standard correlation working condition characteristic, and calculating an average value based on all capacitor degradation speeds in the correlation test result of the standard correlation working condition characteristic to be used as a degradation reference speed of the standard correlation working condition characteristic;
based on the Grabbs criterion, eliminating abnormal values in the degradation reference speeds of all standard related working condition characteristics, and then obtaining an average value to obtain the performance degradation reference speed of the capacitor in the current working environment;
the expression of the glabros criterion is:
In the method, in the process of the invention, The degradation reference speed for the o-th standard related operating characteristic,For the degradation reference speed average value of all standard related operating characteristics,The standard deviation of the degraded reference speed for all standard related operating characteristics,For the abnormality determination value obtained by a table of the gransbes, if the expression of the gransbes criterion is satisfiedIs an outlier.
It can be understood that, for the working condition characteristics which are not sensitive to the degree of correlation of the capacitor performance change, when the correlation test is performed, the degradation speed of the capacitor is not obviously changed, at this time, the degradation speed of the tested capacitor can be regarded as the standard degradation speed of the capacitor under the working environment, the degradation reference speed of the capacitor can be obtained by eliminating the abnormal result in the test process, and the reliability service life of the capacitor can be analyzed by combining the degradation reference speed with the capacitor degradation accelerating effect caused by the dynamic change value of the actual parameter of the high correlation working condition characteristics.
Further, referring to fig. 6, based on the same inventive concept as the above-described capacitor reliability prediction analysis method combining multiple-task features, the present invention proposes a capacitor reliability prediction analysis system combining multiple-task features, including:
The environment acquisition equipment is used for acquiring working condition parameters of the actual working environment of the capacitor to obtain parameter variation ranges of all working condition characteristics of the actual working environment of the capacitor;
The simulation test module is electrically connected with the environment acquisition equipment, and is used for determining at least one high-correlation working condition characteristic based on the parameter variation range of all the working condition characteristics, testing to obtain the initial performance of the capacitor, and constructing a reliability variation model of the capacitor based on each high-correlation working condition characteristic;
the real-time monitoring module is used for monitoring the actual parameter value of each high-correlation working condition characteristic of the actual working environment of the capacitor in real time and fitting a change relation between the real-time parameter value of the working condition characteristic and time;
The reliability prediction module is electrically connected with the simulation test module and the real-time monitoring module, and is used for substituting a change relation between a real-time parameter value of the high-correlation working condition characteristic and time into a reliability change model of the capacitor to predict and analyze the residual reliability service life of the capacitor.
The simulation test module comprises:
The correlation test unit is used for determining fitting parameter values of all working condition characteristics based on parameter variation ranges of all working condition characteristics, and testing and analyzing correlation indexes between each working condition characteristic and capacitor degradation speed based on a correlation test method;
The correlation determination unit is used for judging whether working condition characteristics with correlation indexes larger than a preset value exist or not, if so, all working condition characteristics with correlation indexes larger than the preset value are marked as high correlation working condition characteristics, if not, the working condition characteristics with the maximum correlation indexes are marked as high correlation working condition characteristics, and all non-high correlation working condition characteristics are marked as standard correlation working condition characteristics;
And the correlation analysis unit is used for constructing a reliability change model of the capacitor based on each high-correlation working condition characteristic.
The use process of the capacitor reliability prediction analysis system combining the multi-working-condition features is as follows:
Step one: setting the environment acquisition equipment in the actual working environment of the capacitor, and acquiring working condition parameters of the actual working environment of the capacitor to obtain parameter variation ranges of all working condition characteristics of the actual working environment of the capacitor;
step two: the correlation test unit determines fitting parameter values of all working condition characteristics based on parameter variation ranges of all working condition characteristics, and tests and analyzes correlation indexes between each working condition characteristic and capacitor degradation speed based on a correlation test method;
step three: the correlation determination unit judges whether working condition features with correlation indexes larger than a preset value exist, if so, all working condition features with correlation indexes larger than the preset value are marked as high correlation working condition features, if not, the working condition feature with the maximum correlation index is marked as high correlation working condition features, and all non-high correlation working condition features are marked as standard correlation working condition features;
Step four: the correlation analysis unit builds a reliability change model of the capacitor based on each high correlation working condition characteristic;
Step five: the real-time monitoring module monitors the actual parameter value of each high-correlation working condition characteristic of the actual working environment of the capacitor in real time and fits a change relation between the real-time parameter value of the working condition characteristic and time;
Step six: the reliability prediction module substitutes a real-time parameter value and time change relation of the high-correlation working condition characteristic into a reliability change model of the capacitor to predict and analyze the residual reliability service life of the capacitor.
In summary, the invention has the advantages that: the service life prediction of the capacitor under the nonstandard use environment can be effectively realized, so that timely fault investigation and maintenance of the equipment capacitor by a user are realized, the intelligent maintenance planning of high-precision equipment can be realized, and the high-efficiency and stable operation of the equipment is ensured.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims.
Claims (3)
1. A capacitor reliability prediction analysis method combining multiple-working-condition features is characterized by comprising the following steps:
collecting working condition parameters of the actual working environment of the capacitor to obtain parameter variation ranges of all working condition characteristics of the actual working environment of the capacitor;
Determining at least one high-correlation working condition characteristic based on the parameter variation ranges of all working condition characteristics;
testing and obtaining initial performance of the capacitor;
constructing a reliability change model of the capacitor based on each high-correlation working condition characteristic;
Real-time monitoring the actual parameter value of each high-correlation working condition characteristic of the actual working environment of the capacitor, and fitting a real-time parameter value and time change relation of the high-correlation working condition characteristic;
substituting the real-time parameter value of the high-correlation working condition characteristic and the time change relation into a reliability change model of the capacitor, and predicting and analyzing the residual reliability service life of the capacitor;
The determining at least one high-correlation working condition characteristic based on the parameter variation ranges of all working condition characteristics specifically comprises:
Determining fitting parameter values of all working condition characteristics based on parameter variation ranges of all working condition characteristics;
Based on a correlation test method, testing and analyzing a correlation index between each working condition characteristic and the degradation speed of the capacitor;
Judging whether working condition features with correlation indexes larger than a preset value exist, if so, marking all working condition features with correlation indexes larger than the preset value as high-correlation working condition features, and if not, marking the working condition feature with the maximum correlation index as high-correlation working condition features;
Recording all non-high relevant working condition characteristics as standard relevant working condition characteristics;
the correlation test method specifically comprises the following steps:
determining the working condition characteristics to be analyzed, and recording the working condition characteristics to be analyzed;
all the working condition characteristics except the working condition characteristics to be analyzed in the test box are set as corresponding fitting parameter values;
Setting a test duration;
Uniformly or non-uniformly taking a plurality of sample values from the parameter variation range of the working condition characteristics to be analyzed;
setting a parameter value of a working condition characteristic to be analyzed in a test box as a sample value, and performing reliability test on the capacitor for a test duration to obtain the performance of the capacitor after the test;
determining a capacitor degradation speed corresponding to the sample value based on the initial performance of the capacitor and the tested capacitor performance;
Based on a sample value of the working condition characteristic to be analyzed and the capacitor degradation speed corresponding to the sample value, calculating a correlation index between the working condition characteristic and the capacitor degradation speed through a correlation calculation formula;
wherein, the formula of the capacitor degradation speed is:
In the method, in the process of the invention, As the degradation rate of the capacitor,For the initial performance of the capacitor,In order to test the performance of the capacitor after testing,Is the test duration;
the correlation calculation formula is as follows:
In the method, in the process of the invention, As an index of correlation between the operating characteristics and the rate of capacitor degradation,Is the j-th sample value of the operating mode characteristic,The capacitor degradation rate corresponding to the jth sample value of the operating mode characteristic,Is the total number of sample values of the operating condition characteristics,Standard deviation of all sample values for the operating mode characteristics,Standard deviation of degradation speed of all capacitors;
the constructing the reliability change model of the capacitor based on each high-correlation working condition characteristic specifically comprises the following steps:
Determining the performance degradation reference speed of the capacitor under the current working environment based on the correlation test results of all standard correlation working condition characteristics;
constructing a degradation acceleration index change model of the high-correlation working condition characteristic based on the correlation test result of the high-correlation working condition characteristic;
Constructing a degradation acceleration model of the high-correlation working condition characteristic based on the degradation acceleration index of the high-correlation working condition characteristic;
determining a reliability change model of the capacitor based on degradation acceleration models of all high-correlation working condition characteristics;
the degradation acceleration model of the high-correlation working condition characteristic is specifically as follows:
In the method, in the process of the invention, For the degradation acceleration model of the ith high correlation operating mode feature,For the actual operating time of the capacitor,The degradation acceleration index change model for the ith high correlation operating mode feature,The method is characterized in that the method is a change relation between a real-time parameter value and time of an ith high-correlation working condition characteristic in the actual running time of the capacitor;
The reliability change model of the capacitor specifically comprises the following steps:
In the method, in the process of the invention, As a model of the reliability variation of the capacitor,Is the performance threshold for rejection of the capacitor,For the performance degradation reference speed of the capacitor in the current operating environment,The total number of the features of the high-correlation working conditions is;
the determining the performance degradation reference speed of the capacitor under the current working environment based on the correlation test results of all standard correlation working condition characteristics specifically comprises the following steps:
Obtaining a correlation test result of each standard correlation working condition characteristic, and calculating an average value based on all capacitor degradation speeds in the correlation test result of the standard correlation working condition characteristic to be used as a degradation reference speed of the standard correlation working condition characteristic;
based on the Grabbs criterion, eliminating abnormal values in the degradation reference speeds of all standard related working condition characteristics, and then obtaining an average value to obtain the performance degradation reference speed of the capacitor in the current working environment;
The expression of the glabros criterion is:
In the method, in the process of the invention, The degradation reference speed for the o-th standard related operating characteristic,For the degradation reference speed average value of all standard related operating characteristics,The standard deviation of the degraded reference speed for all standard related operating characteristics,For the abnormality determination value obtained by a table of the gransbes, if the expression of the gransbes criterion is satisfiedIs an outlier;
the degradation acceleration index change model of the high-correlation working condition characteristic specifically comprises the following steps:
wherein, A degradation acceleration index change model for high-correlation working condition characteristics,Is the actual parameter value of the high correlation operating characteristic,And the capacitor degradation acceleration index corresponding to the jth sample value of the high-correlation working condition characteristic.
2. A capacitor reliability prediction analysis system incorporating multiple operating characteristics as set forth in claim 1, wherein the capacitor reliability prediction analysis method incorporating multiple operating characteristics as set forth in claim 1 comprises:
The environment acquisition equipment is used for acquiring working condition parameters of the actual working environment of the capacitor to obtain parameter variation ranges of all working condition characteristics of the actual working environment of the capacitor;
The simulation test module is electrically connected with the environment acquisition equipment, and is used for determining at least one high-correlation working condition characteristic based on the parameter variation range of all working condition characteristics, testing to obtain the initial performance of the capacitor, and constructing a reliability variation model of the capacitor based on each high-correlation working condition characteristic;
The real-time monitoring module is used for monitoring the actual parameter value of each high-correlation working condition characteristic of the actual working environment of the capacitor in real time and fitting a change relation between the real-time parameter value of the high-correlation working condition characteristic and time;
The reliability prediction module is electrically connected with the simulation test module and the real-time monitoring module, and is used for substituting a real-time parameter value of the high-correlation working condition characteristic into a reliability change model of the capacitor according to a time change relation, so as to predict and analyze the residual reliability service life of the capacitor.
3. The capacitor reliability predictive analysis system incorporating multiple operating characteristics of claim 2, wherein said analog test module comprises:
The correlation test unit is used for determining fitting parameter values of all working condition characteristics based on parameter variation ranges of all working condition characteristics, and testing and analyzing correlation indexes between each working condition characteristic and capacitor degradation speed based on a correlation test method;
The correlation determination unit is used for judging whether working condition characteristics with correlation indexes larger than a preset value exist or not, if yes, all working condition characteristics with correlation indexes larger than the preset value are marked as high correlation working condition characteristics, if not, the working condition characteristics with the maximum correlation indexes are marked as high correlation working condition characteristics, and meanwhile all non-high correlation working condition characteristics are marked as standard correlation working condition characteristics;
And the correlation analysis unit is used for constructing a reliability change model of the capacitor based on each high-correlation working condition characteristic.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410454635.2A CN118052084B (en) | 2024-04-16 | 2024-04-16 | Capacitor reliability prediction analysis method and system combining multiple working condition characteristics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410454635.2A CN118052084B (en) | 2024-04-16 | 2024-04-16 | Capacitor reliability prediction analysis method and system combining multiple working condition characteristics |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118052084A CN118052084A (en) | 2024-05-17 |
| CN118052084B true CN118052084B (en) | 2024-07-09 |
Family
ID=91048676
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410454635.2A Active CN118052084B (en) | 2024-04-16 | 2024-04-16 | Capacitor reliability prediction analysis method and system combining multiple working condition characteristics |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118052084B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111104756A (en) * | 2020-01-06 | 2020-05-05 | 西安交通大学 | Metallized film capacitor life prediction method based on task profile and aging analysis |
| CN113806874A (en) * | 2020-06-16 | 2021-12-17 | 罗克韦尔自动化技术公司 | Method and apparatus for electrical component life estimation with corrosion compensation |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3206374B2 (en) * | 1995-06-19 | 2001-09-10 | 松下電器産業株式会社 | Circuit functional block reliability test method |
-
2024
- 2024-04-16 CN CN202410454635.2A patent/CN118052084B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111104756A (en) * | 2020-01-06 | 2020-05-05 | 西安交通大学 | Metallized film capacitor life prediction method based on task profile and aging analysis |
| CN113806874A (en) * | 2020-06-16 | 2021-12-17 | 罗克韦尔自动化技术公司 | Method and apparatus for electrical component life estimation with corrosion compensation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118052084A (en) | 2024-05-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Chen et al. | Remaining useful life prediction of battery using a novel indicator and framework with fractional grey model and unscented particle filter | |
| CN114113987B (en) | Chip inspection tracking method and system | |
| CN116245256B (en) | Multi-factor-combined capacitor quality prediction method, system and storage medium | |
| CN112505570A (en) | Method for estimating battery health state of electric automobile | |
| CN115473319B (en) | Energy storage method based on super capacitor | |
| CN117134503B (en) | State monitoring method and system for large-scale power supply device | |
| CN116805068A (en) | Fault monitoring and early warning system and method based on big data | |
| CN116008701A (en) | Electric mechanism operation diagnosis system and method for intelligent high-voltage switch cabinet | |
| CN118052084B (en) | Capacitor reliability prediction analysis method and system combining multiple working condition characteristics | |
| CN116679139A (en) | Cable replacement monitoring system and method | |
| CN116538092A (en) | Compressor on-line monitoring and diagnosing method, device, equipment and storage medium | |
| CN115144037B (en) | Safety monitoring method and system for explosion-proof performance of lithium battery | |
| CN116840703A (en) | Method, system and equipment for identifying battery self-discharge abnormality | |
| CN114580973B (en) | Quality monitoring method and system in transformer production process | |
| CN113671287B (en) | Intelligent detection method, system and readable storage medium for power grid automation terminal | |
| CN116184060A (en) | Abnormal monitoring method and system suitable for porcelain insulator live working | |
| CN109297582A (en) | The detection device and detection method of fan abnormal sound | |
| CN113256959A (en) | Industrial data acquisition terminal test system | |
| Jiafeng et al. | Transformer Fault Prediction Method Based on Multiple Linear Regression | |
| Ma et al. | Fault detection and diagnosis of mine hoist machine based on RS and SVM | |
| CN117092541B (en) | Analysis method for calculating battery health by direct-current charging big data | |
| CN117406090B (en) | Lithium ion battery power consumption detection method and device | |
| CN116500456B (en) | Ternary lithium battery capacity detection method based on machine learning | |
| CN118011133B (en) | CAN bus cable detection and analysis method and system based on intelligent feedback | |
| CN114814588B (en) | Method for rapidly estimating capacity of storage battery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |