31 results about "Acceleration factor" patented technology

The invention provides an equipment reliability test profile generation method based on a quantitative acceleration test, and relates to the technical field of acceleration tests, and the method comprises the steps: obtaining a reliability index for target equipment, and carrying out the statistics of a test scheme; according to the reliability index and the statistical test scheme, determining the total conventional test time and the reference cycle index for the target equipment; determining an acceleration stress value corresponding to the target stress according to the working limit of the target equipment for the target stress; calculating an acceleration factor of the target stress according to a reference stress value and an acceleration stress value of the target equipment for the target stress; and according to the conventional test profile, the reference stress value, the reference cycle index, the acceleration stress value, the acceleration factor and the total conventional test time of the target equipment, a reliability acceleration test profile of the target equipment is generated, and the reliability acceleration test profile is used for performing a reliability acceleration test on the target equipment for the reliability index. Therefore, the universality of the test is improved, and the test time is shortened.

The invention provides a composite material bearing structure storage life evaluation method considering an acceleration stress lower limit, and the method comprises the steps: 1, carrying out the initialization modeling: enabling the service life of a product to obey the logarithmic normal distribution, and building a three-parameter inverse power law acceleration model of the service life feature theta and the stress level S; 2, estimating parameters: estimating unknown parameters by applying a maximum likelihood estimation method for the three-parameter inverse power law acceleration model; 3, model selection: comparing the calculated likelihood function values, wherein the larger the likelihood function value is, the more stable and more accurate the model is; meanwhile, the variation coefficients of the acceleration factors are calculated in combination with test data for comparison, and the model with the small variation coefficient is more accurate; and 4, accelerated life evaluation: giving reliability, and evaluating the storage life of the three-parameter inverse power law model. The method is suitable for accelerated test evaluation of a product with a threshold effect; the three-parameter inverse power law model provided by the invention can show a better model fitting effect when the acceleration effect does not meet the linear characteristic.

The invention belongs to the technical field of data processing, and particularly relates to an intelligent analysis method and system for valve performance test data, and the method comprises the steps: constructing a dynamic sensitivity factor capable of reflecting the system stability through analyzing the change rate of a flow time sequence and the fluctuation of a current time sequence, and generating a fatigue factor in combination with a pressure range; further, an abnormal pressure peak value caused by the water hammer effect is identified and quantified, and a fatigue factor is corrected to obtain a degradation acceleration factor which can better reflect real physical wear; finally, the composite dynamic features and the traditional static features are jointly input into a GBDT model for training, so that early failure symptoms can be captured, and the accuracy and reliability of prediction of the remaining service life of the valve are improved.

The invention relates to the technical field of stress testing, in particular to a constant thermal stress sequential electric stress testing method, which comprises the following steps of: preparing a sample, calibrating equipment, applying linear increasing electric stress under constant thermal stress and monitoring failure in real time; calculating an electric stress acceleration factor, equivalent time and failure time; combined with the test junction temperature and the normal working condition, a comprehensive acceleration factor is calculated, and the failure time is converted; and constructing a three-parameter Weibull distribution reliability model based on the converted data, and estimating parameters by using maximum likelihood estimation and a Newton-Raphson algorithm to obtain a reliability index. According to the method, the failure can be efficiently induced under the condition of constant thermal stress, and the modeling reliability index is accurate, so that the efficiency, accuracy and engineering practicability of reliability evaluation are improved.

The invention discloses a ship mechanical and electrical product accelerated life test stress profile generation method and device, a medium and a product, and relates to the field of ship reliability engineering and test.The method comprises the steps that working condition profile data and marine environment stress data of a target ship mechanical and electrical product under a typical navigation task are obtained, and a working condition-environment mapping model is established; according to the designed life target of the target ship mechanical and electrical product, the whole life cycle total damage to the target ship mechanical and electrical product is determined by using the working condition-environment mapping model and the failure physical damage model, an accelerated stress profile is generated by strengthening the stress level with damage equivalence as the principle, an accelerated factor is calculated, and an accelerated life test is performed; and failure data of the failure event is recorded, parameters of the failure physical damage model are calibrated, and the accelerated stress profile is iteratively optimized by using the calibrated failure physical damage model. Accurate and dynamic generation of the accelerated life test stress profile of the ship mechanical and electrical product is realized.

The invention discloses a method for evaluating the residual life of an electrical component under the influence of stress fluctuation, and the method comprises the steps: firstly, obtaining the initial state information of the electrical component, including characteristic parameters and initial values thereof; then, a static artificial accelerated aging corrosion test is carried out, and the change value of the characteristic parameters along with time is obtained; based on the change values, the basic weight of each characteristic parameter is determined. And establishing a function relation between the characteristic parameters and time, and describing the aging process. An Arrhenius model is used to calculate an acceleration factor, and the model is adjusted to adapt to different temperature conditions. And obtaining a characteristic parameter degradation model according to the acceleration factor and the function relation. And when the electrical component is only influenced by the environmental stress fluctuation, further establishing a degradation model considering the influence. Finally, according to the operation state of the electrical component, the residual life is evaluated by using a corresponding model, and a scientific basis is provided for maintenance and management. According to the method, various factors are comprehensively considered, the evaluation accuracy is improved, and the system reliability and safety are ensured.

The invention relates to an accelerated test system and method based on a weak link of an electronic component, and belongs to the technical field of electronic product testing, and the method comprises the steps: carrying out the hierarchy analysis and modeling preparation of a whole machine structure, and carrying out the structural layering of a target whole machine system; weak link identification: identifying a key failure path influencing the reliability in the whole machine, and determining a weak component; acceleration pre-test: carrying out acceleration pre-test on the identified weak component, and obtaining degradation behavior data of the weak component through multi-stage acceleration stress loading; constructing a complete machine acceleration model, and calculating the influence of temperature stress, electric stress and vibration stress on the failure degradation rate of the product; acceleration factor calculation: calculating an acceleration factor based on the activation energy of the weak link part; and predicting the service life of the whole machine through acceleration factors, failure mode analysis and component service life data. The failure of the whole machine is converted into the failure of a weak link; the service degradation process of the whole machine can be reflected more truly, and the accuracy of a prediction result is improved.

The invention relates to the technical field of data storage, and discloses a method for verifying average fault-free time of a solid state disk, which comprises the following steps of: initializing a test environment of the solid state disk; a dynamic comprehensive stress model is constructed, acceleration factors are calculated based on self-adaptive parameters of reliability, in the testing process, the acceleration factors are added, different read-write load combinations are circularly switched according to set time slices, and testing of the solid state disk is accelerated; judging whether the test reaches a preset duration or a trigger fault condition; if yes, analyzing solid state disk fault diagnosis and data analysis, and if not, returning to continue accelerated testing of the solid state disk. According to the method, the dynamic comprehensive stress model is constructed, and the temperature stress, the voltage stress, the read-write load stress and other multi-dimensional stress are combined, so that the limitation that only single static high-temperature stress is applied in a traditional test method is broken through, comprehensive stress test on the solid state disk is realized, and the test comprehensiveness and accuracy are improved.

The invention discloses a gear service life evaluation method, and belongs to the technical field of aerospace mechanism service life evaluation. According to the technical scheme, firstly, a five-stress wear rate data set containing the rotating speed, the torque, the temperature alternating, the vacuum degree and the microgravity is established; then constructing a tooth surface solid lubricating film thickness evolution model based on a Hertz-Archard coupling model, and taking the film thickness approaching to zero as a failure criterion; acceleration factors under each acceleration working condition are calculated through model iteration, and a gear acceleration life test is carried out under an optimized working condition; after the test, the film thickness is measured and compared with model prediction, the rated working condition life of the gear is reversely deduced, the long-time on-orbit life of the gear is equivalently predicted through the short-time ground test, and high acceleration efficiency and reliability are achieved. The technical problems of environmental simulation distortion and low acceleration efficiency in aerospace lubrication gear service life evaluation are solved.

The invention provides a reliability evaluation method and device based on highly accelerated life test fault data in order to solve the problems that the reliability of existing highly accelerated life test fault data lacks an effective quantitative evaluation means and the evaluation precision is insufficient due to limited fault data. The method comprises the following steps: converting fault data in a step stress test into equivalent fault data under a normal stress condition according to an acceleration factor and time reduction principle; based on a Bayesian theory and a self-service sampling method, constructing a single-parameter reliability evaluation model; and constructing a multi-parameter reliability evaluation model by adopting an entropy-distance fusion algorithm, and carrying out comprehensive evaluation on the reliability of the test complete machine. According to the method, the time reduction principle and the Bayesian theory are combined, reliability quantitative evaluation under the stepping stress condition is achieved, the evaluation precision is improved, compared with performance degradation data, the method has wider applicability, and the actual evaluation requirement can be better met.

This invention relates to the field of nuclear safety equipment testing technology. It provides a method for optimizing parameters in accelerated reliability testing of nuclear safety-grade valves. The method involves the following steps: establishing a correlation model between accelerated stress and life parameters; calculating the acceleration factor and formulating an initial test plan; deriving the theoretical sample size based on the success-failure test method combined with confidence requirements; constructing an extended coefficient table using the range-extended test method to optimize test parameters; generating multiple accelerated test plans through chi-square distribution verification; eliminating plans that do not meet the life characteristic threshold; determining the optimal sample size, number of failures, and test cycle through comprehensive test cost and risk analysis; and finally outputting a complete test plan including the action interval time. This method solves the problems of limited test samples, insufficient failure data, low confidence levels, and difficulty in adapting accelerated models in existing high-reliability valve technologies.

The invention relates to a component test method and system based on pre-test degradation data, and belongs to the technical field of electronic product testing, and the method comprises the following steps: carrying out the hierarchical analysis and modeling preparation of a whole machine structure, and carrying out the structural layering of a target whole machine system; acceleration pre-test: carrying out acceleration pre-test on the component, and obtaining degradation behavior data of the component through multi-stage acceleration stress loading; constructing a complete machine acceleration model, and calculating the influence of temperature stress, electric stress and vibration stress on the failure degradation rate of the product; calculating an acceleration factor, predicting the service life of the electronic product under the actual use condition by analyzing degradation data in the acceleration pre-test, and calculating the acceleration factor; and predicting the service life of the whole machine through acceleration factors, failure mode analysis and component service life data. By identifying weak components in the whole machine, only key components are subjected to an acceleration pre-test.

The invention relates to the technical field of foundation pit deformation monitoring and prediction, in particular to a foundation pit deformation prediction method and system based on time sequence analysis. Comprising the steps of extracting hour-level propagation characteristics and a propagation rate attenuation index by establishing an instability case library, identifying an instability source candidate region by adopting a non-local gradient, and determining a propagation acceleration factor according to comparison between a time change rate and the propagation rate attenuation index, and when a plurality of instability sources exist, calculating a wave superposition coefficient and carrying out under-consolidation correction to obtain an expansion speed, calculating a remaining time window according to the expansion speed and the propagation path, and when the remaining time window is smaller than an early warning threshold value, dynamically matching a historical statistical rule with a current actual working condition through a time axis compression technology to obtain a final prediction result. According to the method, the two-dimensional attenuation model of the unstable wave space and time is constructed, the soil mechanics mechanism and the fluctuation propagation theory are combined, and the timeliness and accuracy of foundation pit deformation prediction of the short and urgent engineering are remarkably improved.

The invention discloses an aerospace power control electronic device accelerated life test method based on failure physics. The method comprises the following steps: firstly, determining a temperature stress level and a thermal correlation failure mechanism acceleration factor of an accelerated life test; determining initial acceleration test time according to the thermal correlation failure mechanism acceleration factor; in combination with the temperature stress level, sequentially cooperating with other failure mechanisms including an electrical correlation failure mechanism, a vibration correlation failure mechanism and a space radiation correlation failure mechanism to obtain stress levels and acceleration factors under the corresponding failure mechanisms, and on the basis of the initial acceleration test time, performing acceleration test time optimization; and finally, based on the determined acceleration factors and corresponding stress levels under each failure mechanism and the finally optimized acceleration test time, carrying out an acceleration life test. The method provided by the invention can provide a scientific basis for reliability evaluation of the electronic product in an on-orbit environment, and can accurately predict the life index of the product under a multi-stress comprehensive condition.

The invention provides a simulation analysis method for a dirty ballast bed disease under a power-melting effect in a spring melting period, and relates to the technical field of ballast bed disease simulation, and the method comprises the steps: collecting hourly temperature in the spring melting period, and settlement increment and dynamic load parameters of monitoring points before and after a train passes through, and obtaining dirty characteristics and mechanical property parameters; determining actual freeze-thaw cycle times and critical freeze-thaw cycle times, and calculating a freeze-thaw damage accumulation index; an accumulated settlement increment characteristic value is extracted to calculate a non-uniform settlement index, and the freeze-thaw fatigue life ratio is corrected for the first time in combination with the temperature average gradient; simulating two working conditions, calculating a bearing capacity attenuation index and a dynamic load acceleration factor, and secondarily correcting a freeze-thaw fatigue life ratio; and dividing disease risk grades. The method can adapt to complex working conditions of temperature transient-settlement non-uniformity, enables an evaluation result to be matched with actual disease development, can accurately evaluate the fatigue life under multi-factor coupling, and provides a judgment basis for disease grade division.

The invention discloses a method for calculating a complete machine acceleration factor based on component information, and relates to the field of aerospace reliability methods, and the method comprises the following steps: S1, constructing a failure influence matrix M; s2, calculating an acceleration factor AFi or a comprehensive acceleration factor of the component; S3, calculating an acceleration factor AFj of the failure mode j through a weighted average method; s4, a whole machine acceleration factor AFsystem is calculated; the working behavior of the whole machine is accurately predicted by considering the characteristics of different components and the influence of the different components on the overall performance, and continuous analysis and optimization are carried out, so that the service life of the whole machine is effectively prolonged, the reliability and stability of the whole machine are ensured, and the reliability and stability of the whole machine are ensured by comprehensively considering the influence of different stresses. Performance and potential fault points of the equipment under actual use conditions are accurately evaluated, and improvement of reliability and service life of the whole machine is facilitated.

The invention provides a multi-failure-mode product complete machine reliability acceleration test method, and belongs to the technical field of acceleration test, and the method comprises the steps: determining a failure mode and a sensitive stress matrix of a product, and recognizing a common acceleration stress set, a private acceleration stress set, a related failure mode and an independent failure mode; determining an acceleration model of each failure mode in the matrix, a whole machine acceleration factor constraint condition and a constraint condition of each acceleration stress level; determining an independent failure mode acceleration factor and a related failure mode acceleration factor; based on the acceleration factor of the independent failure mode and the acceleration factor of the related failure mode, determining the acceleration factor of the whole machine of the product; and implementing the acceleration test according to the related requirements of the acceleration test and the whole machine acceleration factor of the product, checking the frequency ratio of the failure mode in the acceleration test, and calculating the reliability of the product after the checking is passed. According to the scheme, the test result accuracy is improved, the accelerated test profile is simple, and implementation is easy.

The invention discloses a reliability test method for verifying an airborne equipment MTBF based on Arrhenius and inverse power law models. The method comprises the following steps: step 1, carrying out a maximum stress test; step 2, high stress test; step 3, carrying out a medium stress test; step 4, obtaining a failure distribution curve; 5, drawing the characteristic life in a logarithm-linear coordinate graph and a logarithm-logarithm coordinate graph; step 6, selecting a worst working environment condition as close as possible and a stress value as high as possible; step 7, performing a low-stress test; step 8, outputting the characteristic life; step 9, drawing the characteristic life in the coordinate graph, adding an optimal linear regression straight line, and prolonging the straight line until the expected characteristic life under the field expected stress value; step 10, calculating a comprehensive acceleration factor based on the data; and step 11, according to the acceleration factor, calculating the test time after the comprehensive stress is applied, and judging whether the test time meets the index requirements or not. According to the invention, relatively accurate MTBF verification can be obtained more accurately, quickly and comprehensively.

The invention relates to a reliability-based component acceleration test model and system, and belongs to the technical field of electronic product testing, and the method comprises the following steps: carrying out the hierarchical analysis and modeling preparation of a whole machine structure, and carrying out the structural layering of a target whole machine system; identifying weak links; acceleration pre-test: carrying out acceleration pre-test on the identified weak component, and obtaining degradation behavior data of the weak component through multi-stage acceleration stress loading; constructing a whole machine acceleration model; modeling by adopting a linear cumulative damage theory, and constructing a generalized coupled competitive failure model; calculating an acceleration factor; and predicting the service life of the whole machine through acceleration factors, failure mode analysis and component service life data. The linear cumulative damage theory and the generalized coupling failure modeling are adopted, so that the mutual influence among various stresses and the coupling relationship among multiple failure modes can be effectively processed, and the life prediction with consistent reliability can be realized under the complex service condition.

The invention discloses an electronic product complete machine multi-stress step-down acceleration test method, which belongs to the technical field of mechanical and electrical product reliability test, and comprises the following steps: preparing a tested object, selecting a sample from each type of single machine as the tested object, placing the selected tested object under a standard or conventional storage condition, and testing the mechanical and electrical product reliability. Periodically measuring and recording performance degradation parameters of each tested object; designing an acceleration factor, and designing an acceleration factor Aw for calculating the time of an acceleration test and an acceleration factor AFc for evaluating the failure rate of the equipment under different stress conditions; carrying out stress comprehensive design; designing a test scheme, and giving out a step-down acceleration test scheme of a final electronic product complete machine; according to the electronic product complete machine multi-stress step-down acceleration test method provided by the invention, the problems of inaccurate acceleration factors, poor environmental stress comprehensiveness, long test period and the like of an existing spaceflight electronic product acceleration test are solved.

The present application relates to the technical field of foundation pit deformation monitoring and prediction, in particular to a foundation pit deformation prediction method and system based on time series analysis. The method comprises the following steps: extracting hour-level propagation characteristics and propagation rate attenuation index by establishing an instability case library, identifying instability source candidate areas using non-local gradient, determining propagation acceleration factors according to the comparison between time variation rate and propagation rate attenuation index, calculating wave superposition coefficients and performing under-consolidation correction to obtain expansion velocity when there are multiple instability sources, calculating the remaining time window according to the expansion velocity and propagation path, and obtaining the final prediction result by dynamically matching historical statistical rules with the current actual working conditions through time axis compression technology when the remaining time window is less than the warning threshold. The present application constructs a two-dimensional attenuation model of instability wave space and time, combines soil mechanics mechanism with wave propagation theory, and significantly improves the timeliness and accuracy of short and urgent engineering foundation pit deformation prediction.

The invention belongs to the technical field of sensor reliability evaluation, and relates to a multi-stress acceleration test method for an SF6 sensor. The method comprises the following steps: determining the type of acceleration stress and a stress application range; performing a single-factor limit test to determine the boundary of each independent stress, and obtaining a humidity stress index, a vibration stress index and an electric stress index; performing a double-factor collaborative superposition test to obtain a stress interaction correction factor of a synergistic effect; combining the four environmental stresses, and implementing an all-factor acceleration test to obtain corresponding stress parameters when the sample fails; inputting three stress indexes of humidity, vibration and electric stress, a stress interaction correction factor and a corresponding stress parameter when the sample fails into a multi-stress-level acceleration factor model, and outputting an acceleration factor; and obtaining the limit life of the sensor based on the acceleration factor. The problems that an existing SF6 sensor reliability evaluation test cannot simulate a real composite environment and has a large deviation from actual application are solved.

The application discloses a test method for node corrosion fatigue failure mechanism of a floating structure considering multiple working conditions, and comprises the following steps: S1, constructing an intelligent verification and regulation digital twin parallelly running with a physical test system, wherein the digital twin comprises a multi-scale-multi-fidelity digital twin model library; S2, calculating a comprehensive equivalent deviation in real time, wherein the comprehensive equivalent deviation fuses macroscopic performance deviation and microscopic and mesoscopic feature similarity; S3, constructing an adaptive acceleration ratio scheduler, wherein the comprehensive equivalent deviation and a test progress are input, and adjustment instructions for time-varying acceleration factors of each working condition, working condition residence time and whether to insert a high-fidelity verification cycle are decided and output; S4, receiving the adjustment instructions and executing an updated test plan; and S5, using multi-source monitoring data collected in real time to perform online fine tuning and parameter updating on key sub-process models in the multi-scale-multi-fidelity digital twin model library.

The present invention relates to the technical field of power module testing, and particularly to a method for accelerating the life analysis and evaluation of power modules. The method includes the following steps: obtaining power module accelerated test data; calculating a temperature acceleration factor based on the power module accelerated test data to obtain temperature acceleration factor data, and calculating a normal temperature life based on the temperature acceleration factor data to obtain normal temperature life data; extracting failure times from the power module accelerated test data to obtain failure time data; constructing a failure probability model based on the failure time data to obtain a failure probability model; predicting a failure life based on the failure probability model to obtain failure life data; calculating an acceleration factor based on the normal temperature life data and the failure life data to obtain acceleration factor data; and obtaining power module accelerated life data based on the acceleration factor data and the failure life data. The present invention makes the life prediction of power modules closer to the actual use environment.

The application discloses a stage machinery anti-vibration method based on an arbitrary acceleration factor, and comprises the following steps: obtaining a transfer function and a step response of a simplified physical model of a suspension control system; obtaining an oscillation period of the system according to an actual length of a hanging rope, a gravitational acceleration and a natural oscillation frequency; combing acceleration parameter values used by equipment in a driving layer in the whole control system, the acceleration parameter values can be divided into a MODE1 mode and a MODE2 mode; judging whether the gravitational acceleration is constant; when the gravitational acceleration is constant, the maximum acceleration time of the equipment is obtained and compared with the oscillation period; when the gravitational acceleration is not constant, the maximum acceleration time of the equipment is obtained and compared with the oscillation period; according to the comparison between the acceleration time and the oscillation period, a corresponding mode is selected to obtain a new system execution speed, and then the swing of the system is reduced. The application improves the performance art effect of the performance equipment and improves the user experience of on-site audiences.

The application relates to the technical field of data storage, and discloses a verification method for mean time between failures of a solid state disk, which comprises the following steps: initializing a test environment of the solid state disk; constructing a dynamic comprehensive stress model; calculating an acceleration factor based on adaptive parameters of reliability; in a test process, increasing the acceleration factor, cyclically switching different read-write load combinations according to a set time slice, and accelerating the test of the solid state disk; judging whether the test reaches a preset time length or triggers a failure condition; if yes, analyzing solid state disk failure diagnosis and data analysis; and if no, returning to continue accelerating the test of the solid state disk. Through the construction of the dynamic comprehensive stress model, the method combines temperature stress, voltage stress and read-write load stress and other multidimensional stresses, breaks through the limitation of traditional test methods which only apply single static high-temperature stress, realizes comprehensive stress testing of the solid state disk, and improves the comprehensiveness and accuracy of the test.

The application discloses a kind of suitable for the remaining life evaluation method of electrical component under the influence of stress fluctuation, first, the initial state information of electrical component is acquired, including characteristic parameter and its initial value.Next, static artificial accelerated aging corrosion test is carried out, and the change value of characteristic parameter with time is acquired.Based on these change values, the basic weight of each characteristic parameter is determined.The function relationship between characteristic parameter and time is established, and the aging process is described.The Arrhenius model is used to calculate the acceleration factor, and the model is adjusted to adapt to different temperature conditions.According to the acceleration factor and the function relationship, the characteristic parameter degradation model is obtained.When electrical component is only affected by environmental stress fluctuation, the degradation model considering this influence is further established.Finally, according to the operating state of electrical component, the corresponding model is used to evaluate the remaining life, and a scientific basis is provided for maintenance and management.This method considers multiple factors, improves the evaluation accuracy, and ensures the reliability and safety of the system.

The invention relates to the technical field of arch bridge suspender fatigue life prediction, and belongs to an arch bridge suspender corrosion fatigue life calculation method under the axle coupling effect. Comprising the steps of establishing an arch bridge three-dimensional finite element model; calculating a train load; performing simulation analysis on the train passing through the arch bridge; after the train passes through the arch bridge, analyzing and outputting a stress time travel curve of the suspender when the single train passes through the arch bridge; converting the stress time history curve of the suspender when a single train passes through the arch bridge into a fatigue stress histogram to obtain the variable amplitude stress amplitude and the variable amplitude stress amplitude cycle index of the arch bridge suspender; calculating equivalent stress of the arch bridge suspender; measuring the initial corrosion pit size of the suspender, and calculating a suspender crack shape factor; calculating an initial crack size of the suspender, an adjacent crack size of the suspender and a suspender crack propagation corrosion acceleration factor; and establishing an arch bridge suspender corrosion fatigue life calculation formula under the axle coupling effect, and calculating the corrosion fatigue life of the arch bridge suspender. According to the method, the corrosion fatigue life of the arch bridge suspender can be accurately solved.

The invention provides an old product acceleration factor evaluation method based on maximum likelihood estimation and related equipment, and the method comprises the steps: obtaining first performance parameter degradation data of a product in a natural storage test stage and second performance parameter degradation data of the product in an accelerated storage test stage; calculating a natural storage degradation rate and an accelerated storage degradation rate, performing sample expansion on the degradation rates according to the natural storage degradation rate and the accelerated storage degradation rate to obtain a target degradation rate set comprising more sample degradation rates, constructing a likelihood function based on the target degradation rate set, and solving the likelihood function to obtain a target degradation rate set; according to the method, the optimal acceleration factor can be obtained, so that by maximizing the likelihood function, the optimal acceleration factor is obtained as the target acceleration factor, and the acceleration test is performed on the product based on the target acceleration factor, so that the test result is closer to the real test result, and the accuracy and reliability of the test result are improved.

The invention relates to the technical field of power module testing, in particular to a power module accelerated life analysis and evaluation method. The method comprises the following steps: acquiring power module acceleration test data; performing temperature acceleration factor calculation according to the power module acceleration test data to obtain temperature acceleration factor data, and performing normal temperature life calculation according to the temperature acceleration factor data to obtain normal temperature life data; performing failure time extraction according to the power module acceleration test data to obtain failure time data; building a failure probability model according to the failure time data to obtain a failure probability model; performing failure life prediction according to the failure probability model to obtain failure life data; performing acceleration factor calculation according to the normal-temperature life data and the failure life data to obtain acceleration factor data; and obtaining accelerated life data of the power module according to the acceleration factor data and the failure life data. According to the invention, power module life prediction is closer to an actual use environment.