28 results about "Sequential test" patented technology

The invention provides a multi-stress reliability enhancement test method based on a support vector machine. Comprising the steps of training a support vector machine model representing a mapping relation between multiple stress and failure characteristic quantities, constructing a scoring model containing three factors for multiple stress test candidate points, and selecting a point with the lowest score from the multiple stress test candidate points for testing. And obtaining a final multi-stress limit envelope corresponding to the failure characteristic quantity threshold value by using the latest support vector machine model. On the basis of saving a large amount of test overhead and retaining the core characteristics of the reliability enhancement test, the reliability enhancement test efficiency is improved. A pre-cured test design of a traditional reliability strengthening test is changed into a dynamic sequential test design, a single stress limit is changed into a multi-stress limit, and a discrete boundary is changed into a continuous boundary.

The invention relates to the technical field of power system automation, and discloses a one-key sequence control test signal sequence generation method, which comprises the following steps: S10, a user defines a test requirement through a graphical interface or a preset template, comprising the following steps: determining a test target such as a certain area or specific equipment of a transformer substation, a test scene such as normal operation, fault simulation and the like and required test precision, then editing interval information in detail by a user, and clearly distinguishing primary equipment such as a circuit breaker, an isolating switch and a transformer and secondary equipment such as a protection device, a measurement and control device and an automatic system and the like. According to the one-key sequence control test signal sequence generation method, through a series of automatic and intelligent steps, the problems of low efficiency, high error rate and the like caused by dependence on manual editing in the background technology are effectively solved, the generation efficiency and quality of the one-key sequence control test signal sequence are remarkably improved, and the method is suitable for popularization and application. And a more efficient and reliable test means is provided for operation and maintenance of the intelligent power grid transformer substation.

The invention provides a word mastering degree testing method and system, and the method comprises the steps: constructing a memory palace which comprises a plurality of situation element regions closely related to a to-be-learned word in a learning target; in the memorizing stage, according to the navigation path in the memorizing palace, guiding the user to enter each area one by one to carry out interactive practice of word memorizing; a test sequence used for testing the word mastering degree of the user is generated, and all test questions in the test sequence are correspondingly associated with the situation elements in the memory palace; and in the test stage, guiding the user to test the test questions in sequence according to the test sequence, and displaying test scores in real time to evaluate the mastering degree of the user on all words in the learning target. According to the method, accurate testing is carried out through situational and guiding learning and test sequence generation, the user can be helped to master the words more efficiently, the learning effect is improved, and the master degree of the user on the whole words is accurately evaluated.

The present invention relates to the technical field of aircraft test design, and in particular to an aircraft sequential test design method based on an expected probability box boundary improvement criterion, which specifically includes the following steps: S1, initial test design, obtaining a sample set that affects the output results in the aircraft test; S2, establishing a proxy model using a Gaussian process regression model based on information of a known sample set D; S3, based on the established proxy model, determining the next test sample point according to a sampling point criterion corresponding to the expected probability box boundary improvement criterion; S4: calculating the true response of the aircraft at the test sample point and updating the sample set; S5: judging whether the test stop criterion is met, and if so, outputting the final proxy model; if not, repeating the operations of S2-S5. The present invention quickly and effectively finds the maximum or minimum value of the objective function by selecting appropriate sampling points in the test design. This new optimization criterion has significant advantages, especially in finding the maximum value problem.

The present invention relates to computer implemented adaptive and iterative methods to improve and accelerate a quality control decision or a performance test in a specific technical field while reducing the overall cost of the quality control or performance test process, respectively; the method comprising: constructing a sequential test; iterating the following steps using the sequential test until a decision is made, obtaining a set of samples, checking the decision of the criteria for the set of samples, determining in an adaptive way the optimal number of additional data samples required for the subsequent iterative step if no decision has been made in the current iteration.

The invention discloses an asphalt mixture creep fatigue interaction damage evaluation method which comprises the following steps: S1, carrying out a direct tensile fatigue test and a static creep test on an asphalt mixture sample to obtain stress-strain data; s2, constructing a fatigue damage model of the asphalt mixture, and determining fitting parameters of the model; s3, establishing a creep damage constitutive model and a creep damage model, determining fitting parameters of the creep damage model, and calculating the creep critical damage degree of the asphalt mixture; s4, performing sequential tests of different loading sequences on the asphalt mixture test piece; s5, calculating damage corresponding to different sequential tests; s6, correcting the fatigue damage model and the creep damage model; and S7, establishing a creep fatigue interaction model. The method can be used for evaluating and identifying the relationship between damage accumulation and interaction of the asphalt mixture under the interaction of creep and fatigue.

The present invention relates to the technical field of aircraft test design, and in particular to an aircraft sequential test design method based on an overall improvement criterion of an expected probability box, specifically comprising the following steps: S1, initial test design, obtaining a sample set that affects the output results in the aircraft test; S2, establishing a proxy model using a Gaussian process regression model based on information from a known sample set D; S3, on the basis of the established proxy model, determining the next test sample point based on a sampling criterion corresponding to the overall improvement of the expected probability box; S4, calculating the true response of the aircraft at the test sample point and updating the sample set; S5, determining whether the test stopping criterion is met, and if so, outputting the final proxy model; if not, repeating the operations of S2-S5. The present invention can quantify the uncertainty in the aircraft test, select the most valuable sample points in combination with the sampling criterion of the overall improvement of the probability box, so as to improve the overall accuracy of the proxy model and provide a more reliable basis for aircraft design.

The invention relates to an operation frequency confirmation method and system for reliability identification and acceptance test. The operation frequency confirmation method for reliability identification and acceptance test comprises the following steps: selecting a proper statistical scheme, a sequential test statistical scheme, a fixed-time truncation test statistical scheme and a full-number test statistical scheme; determining a judgment risk; comprehensive environment determination: determining a comprehensive environment condition of a reliability verification test and a relation between the comprehensive environment condition and the number of times of the reliability verification test according to field use of a tested product and task environment characteristics; determining a test scheme according to test requirements, and drawing a test profile map according to the test scheme; different devices are selected according to different tests, and the requirements of the test devices are specified; and detecting items and qualification criteria of the tested product. According to the operation frequency confirmation method for reliability identification and acceptance test, a basis can be provided for reliability identification and acceptance test.

The invention relates to the technical field of aircraft test design, in particular to an aircraft sequential test design method based on an expected probability box overall improvement criterion, and the method specifically comprises the following steps: S1, carrying out initial test design, and obtaining a sample set which influences an output result in an aircraft test; s2, establishing an agent model by using a Gaussian process regression model according to the information of the known sample set D; s3, on the basis of the established agent model, determining a next test sample point according to a point sampling criterion corresponding to the overall improvement of the expected probability box; s4, calculating the real response of the aircraft at the test sample point, and updating the sample set; s5, judging whether a test stop criterion is met or not, and if yes, outputting a final agent model; and if not, repeating the operations of S2-S5. According to the method, uncertainty in an aircraft test can be quantified, and the most valuable sample point is selected in combination with a probability box overall improved sampling point criterion, so that the overall precision of an agent model is improved, and a more reliable basis is provided for aircraft design.

The invention relates to a sequential test design method based on BDNN and key area density weighting, and relates to the technical field of radars. The method comprises the steps of performing general feature extraction on an initial data set through a constructed dynamic adaptive BDNN model, and outputting a continuous prediction result and a classification prediction result; a multi-target chaotic particle swarm optimization algorithm is adopted to identify key areas in the multi-dimensional factor space, after an optimal solution set is obtained through iterative optimization, comprehensive scores are calculated and screened, and high-priority key areas are output; on the basis of the high-priority key area, density weighted sequential sampling is implemented to generate multi-source candidate points, the comprehensive weight of each candidate point is calculated, and final sampling points are screened out by maximizing the sum of the comprehensive weight and the spatial distance; and verifying the final sampling point, and fusing the verified sample with the initial data set for retraining the dynamic adaptive BDNN model until a preset convergence condition is met. The performance of the detection system can be improved.

The invention discloses a matrix type detection method and a test device for a new energy automobile lamp circuit board, and belongs to the technical field of the matrix type detection method for the new energy automobile lamp circuit board, and the matrix type detection method comprises the following steps: matching a matrix type jig and a customized tool with a region decoding system; one-time parallel, high-speed and non-contact identification is carried out by the programmable digital power supply, the test system and the parameter sampling module, the efficiency and accuracy of the innovation are far higher than those of manual single-point scanning in the prior art, a foundation is laid for subsequent parallel and efficient sequential tests, and the overall test efficiency is greatly improved.

The invention relates to the technical field of aircraft test design, in particular to an aircraft sequential test design method based on an expected probability box boundary improvement criterion, and the method specifically comprises the following steps: S1, carrying out initial test design, and obtaining a sample set which influences an output result in an aircraft test; s2, establishing an agent model by using a Gaussian process regression model according to the information of the known sample set D; s3, on the basis of the established agent model, according to a sampling point criterion corresponding to a boundary improvement criterion of an expected probability box, determining a next test sample point; s4, calculating the real response of the aircraft at the test sample point, and updating the sample set; s5, judging whether a test stop criterion is met or not, and if yes, outputting a final agent model; and if not, repeating the operations of S2-S5. According to the method, the maximum value or the minimum value of the target function is quickly and effectively found through proper sampling point selection in the test design, and the brand new optimization criterion has remarkable advantages especially in the problem of finding the maximum value and the minimum value.

A method for a robot control policy evaluation framework is described. The method includes selecting a first robot control policy and a second robot control policy from a plurality of robot control policies. The method also includes performing a sequential testing of the first robot control policy and the second robot control policy. The method further includes incrementally collecting statistical evidence during the performing of the sequential testing. The method also includes completing the sequential testing in response to the statistical evidence establishing a performance of the first robot control policy being greater than the performance of the second robot control policy or the performance of the second robot control policy being less than the performance of the first robot control policy.

A method and apparatus for configurable application feature experiments is described. The method can include receiving data indicative of a metric to be collected after a feature treatment is deployed to a plurality of configurable applications. The method can also include receiving, from the configurable applications, feature treatment event messages that include metric values associated with the metric. Furthermore, the method can include performing a sequential testing process using the metric values from the event messages to determine when statistical significance has been reached for the metric values satisfying or not satisfying a significance threshold associated with the metric, and using this determination to transmit alerts messages to an application developer system.

The invention relates to the technical field of chip testing, in particular to a BGA (ball grid array) chip testing frame which comprises a supporting mounting disc, a lifting mounting disc is arranged over the supporting mounting disc in an opposite manner, and the BGA chip testing frame further comprises a rotary displacement mechanism which is arranged on the lifting mounting disc and comprises a plurality of displacement combination detection modules; the chip positioning and clamping mechanisms are arranged on the lifting mounting disc at equal angles, and each chip positioning and clamping mechanism comprises a displacement adjusting module and an auxiliary clamping module. Automatic sequential testing is achieved through the rotary multi-station design, and the detection efficiency is greatly improved; a flexible linkage clamping and thermoplastic temperature control fixing technology is adopted, so that lossless self-adaptive clamping of a chip is realized; the modular detection unit supports rapid reloading and flexible layout; a multi-stage rotary conductive structure ensures continuous and stable power supply and signals in the test process; and a pneumatic pick-and-place device is integrated, manual intervention is reduced, and access to an automatic production line is easy.

The invention relates to a parallel test method, a module information conversion method and device and a readable storage medium, and the method comprises the steps: obtaining the module information of a plurality of test modules, building a module mapping table, and sorting the test modules in the module mapping table; combining the plurality of test modules into a plurality of module arrays by utilizing the module mapping table according to parallel test requirements; calculating a plurality of bonding pad values of the test module in the module array according to the number and the serial number of the bonding pads of the test module; and sequentially selecting the module array for parallel testing, and determining an external pin pricking distribution mode of the parallel testing equipment based on a plurality of bonding pad values of the testing modules in the module array. According to the technical scheme, module merging and pad information conversion can be automatically completed based on module information of sequential testing and parallel testing requirements, the module information conversion efficiency and accuracy are greatly improved, and then the chip testing efficiency is improved through parallel testing.

The invention discloses an underground water reserve abrupt change point detection method combining signal decomposition and a sequential test method, which comprises the following steps: firstly, acquiring a gravity satellite spherical harmonic coefficient product and GLDAS hydrological mode data of a to-be-detected area, and performing inversion to obtain underground water reserve abnormal data of the to-be-detected area; missing data interpolation and signal decomposition are carried out on groundwater reserve abnormal data obtained through inversion, and a non-linear trend term, a seasonal period term and a signal decomposition residual term which do not contain data missing are obtained; and finally, performing underground water reserve abrupt change point identification and detection by using the nonlinear trend term and the signal residual term of the signal decomposition. According to the method, residual terms of signal decomposition are utilized to construct the break variable test threshold value, robust mutation point recognition and detection are carried out, in the actual application process, the break variable test threshold value well eliminates false alarm points of mutation point recognition, and the accuracy and robustness of mutation point detection are guaranteed.

The present invention discloses a product life prediction method based on zero-failure data in a sequential test in the field of open reliability test evaluation. According to the truncation time from small to large, the product is tested in sequence, and the Bayesian estimation model is used to obtain the Bayesian estimation value of the cumulative failure probability of each sample #imgabs0#. The set #imgabs1# is used as the input of the grey bootstrap model, t i 0 to the longest test duration t k At any time between , a self-service sample set is sampled to generate new grey self-service sample points, forming a set of cumulative failure rate estimation results at multiple times, constructing a square loss function, and obtaining the parameter estimation value that minimizes the square loss function. Using the maximum entropy method, the parameter estimation value with the largest information entropy corresponding to the grey self-service sample point among all parameter estimation values ​​is obtained as the final result, and the prediction result is accurate.

The present invention discloses a sequential test design method for response mutation, which is intended to solve the problem that when there is a mutation in the response in the confrontation test under a complex electromagnetic environment, the test results obtained based on uniform design and traditional sequential design are difficult to effectively reflect the changing characteristics of equipment performance, especially the performance mutation process; the uniformity of the design scheme is described by using the rollable L2-deviation, the degree of mutation of the test response is characterized by the gradient modulus of the test point, the objective function is defined by organically combining the two, and the test design scheme is obtained by continuously iterating to improve the objective function value. The test design scheme generated by the sequential test design method for response mutation provided by the present invention is more densely distributed at the response mutation.

The present invention relates to the technical field of sequential experiments, and in particular to a sequential experiment design method based on the maximum entropy search criterion, which specifically includes the following steps: S1: perform initial experiment design to obtain an initial sample set; S2: construct a proxy model based on currently known sample information; S3: determine the next test point based on the current proxy model according to the acquisition function corresponding to the maximum entropy search criterion; S4: evaluate the performance at the test point and update the sample set; S5: determine whether the test stop condition is met, if so, stop the test; if not, repeat the operations of S2-S5. The sequential experiment design method uses the currently obtained test information to guide the sampling of the next test in a "testing and evaluating" manner; at the same time, the method can explore the overall system and take into account the sampling of larger uncertain areas in the test space.

This application provides a method and apparatus for testing control motherboards. The method includes: retrieving cost-related attribute data and benefit-related attribute data for each test item of a first control motherboard, wherein each test item of the first control motherboard is tested in its original order; the larger the cost-related attribute data and benefit-related attribute data, the longer the total testing time for each test item; inputting the cost-related attribute data and benefit-related attribute data of each test item of the first control motherboard into a multi-attribute decision model to obtain a test decision for a target batch of control motherboards, wherein the target batch of control motherboards includes multiple second control motherboards, the second control motherboards being of the same model as the first control motherboards; and testing each of the second control motherboards in the target batch of control motherboards according to the test decision of the target batch of control motherboards. This method improves the efficiency of testing control motherboards.

The application discloses a kind of based on dynamic confidence interval AB test test effect evaluation method, it is related to big data analysis technical field, including, to historical time series is carried out autoregression analysis, extraction autoregression coefficient, and according to time series analysis theory obtains dynamic variance inflation factor, uses dynamic variance inflation factor to correct posterior distribution variance, generates corrected posterior distribution variance;By the mean of posterior distribution and corrected posterior distribution variance Double optimization dynamic confidence interval is constructed, compares double optimization dynamic confidence interval with preset sequential test boundary and makes decision, generates evaluation decision;Based on evaluation decision, the mean of posterior distribution and corrected posterior distribution variance are used as recommended parameter, set the initialization parameter recommendation of next stage AB test test, and integration generates AB test test effect evaluation report.The application enhances the accuracy and robustness of confidence interval.

This application relates to identifying valid data windows. A tester includes an interface configured to interface with an electronic device and logic circuitry. The logic circuitry includes a pattern generator and at least one finite state machine, and is configured to: sequentially acquire read data from the electronic device at sequential test points within a test range for evaluating operating parameters of the electronic device or the tester, until a set of consecutive pass points with a first pass point and a last pass point is identified; in response to identifying the first pass point, write data identifying the first pass point into the logic circuitry of the tester; in response to identifying the last pass point, write data identifying the last pass point into the logic circuitry of the tester; and output only the data identifying the first pass point and the data identifying the last pass point to a software application.

An input selector for electrically connecting one of a plurality of test signals from a device under test to a test and measurement instrument includes a multiplexer having multiple inputs, each of the multiple inputs coupled to a different one of the plurality of test signals from the device under test, and having an output of a selected one of the multiple inputs, and an amplifier coupled to the output of the multiplexer for amplifying the selected test signal of the device under test before being sent as an output of the input selector to the test and measurement instrument. In alternative architectures, two or more amplifiers are coupled to the plurality of test signals, and the multiplexer selects an output of one of the two amplifiers to pass to a measurement instrument for testing.

The invention discloses a multi-level storage unit self-test system for a probe processor. The system comprises an MBIST control hub, a plurality of storage unit local MBIST controllers and a special MBIST control mechanism deployed in a complex subsystem. The MBIST control hub manages test tasks in a unified mode based on a preset scheduling strategy according to the power consumption characteristics of the storage units and the resource conflict relation, and supports parallel and serial test mode switching so as to control peak power consumption. And after the local MBIST controller of each storage unit receives the starting signal, isolating functional logic, autonomously completing address generation, data reading and writing, Pattern comparison and result latching, and reporting a completion state. The control hub reads test results in a centralized mode through a bus, and distributed execution of test tasks and centralized management of the results are achieved. Wherein the CPU subsystem adopts a scheduling strategy of firstly testing each core L1 Cache in parallel and then testing each core L2 Cache in series; and the ZIPSYS subsystem adopts a mode of firstly testing SRAMs (Static Random Access Memory) of the ZIP module in parallel and then testing storage units of the DC module in sequence. The method is suitable for testability design of the multi-core heterogeneous processor, and the test efficiency and the chip maintainability are improved.

The invention discloses an AB test effect evaluation method based on a dynamic confidence interval, and relates to the technical field of big data analysis, and the method comprises the steps: carrying out the autoregression analysis of a historical time sequence, extracting an autoregression coefficient, obtaining a dynamic variance dilatation factor according to a time sequence analysis theory, and obtaining a dynamic variance dilatation coefficient; correcting the posterior distribution variance by using the dynamic variance expansion factor to generate a corrected posterior distribution variance; constructing a dual optimization dynamic confidence interval through the mean value of the posterior distribution and the corrected posterior distribution variance, comparing the dual optimization dynamic confidence interval with a preset sequential test boundary, making a decision, and generating an evaluation decision; and based on the evaluation decision, using the mean value of the posterior distribution and the corrected posterior distribution variance as recommendation parameters, setting initialization parameter recommendation of the AB test in the next stage, and integrating to generate an AB test effect evaluation report. According to the invention, the accuracy and robustness of the confidence interval are enhanced.

The present invention provides a method for tuning the parameters of an internal model PID controller for multi-loop coupling in a chemical process. The closed-loop step response test of each loop of the system is carried out by using multi-loop sequential testing; according to the static gain matrix of the system, the relative gain matrix of the system is obtained, and the correlation between each loop of the system is analyzed through the relative gain matrix; based on the inverse decoupling method, a decoupling compensation matrix is constructed to decouple the multi-loop system into a diagonal system matrix composed of multiple single loops, and its diagonal elements are used as the internal model, and a multivariable internal model controller is designed; the all-pole approximation is introduced to handle the pure time-delay link in the object model, and combined with the Maclaurin formula to obtain the parameter tuning formula of the internal model PID controller, and the PID controller parameters of each loop are calculated. The present invention solves the problem of parameter tuning of the multi-loop coupling PID controller in the industrial process and can simultaneously meet the requirements of robustness and tracking performance of multi-loop control.

The present invention discloses a sequential test design method based on response distribution balance. The main purpose is to discover various response situations of equipment under various test conditions through tests in countermeasure tests in complex electromagnetic environments. Therefore, in many cases, in addition to considering the uniformity of the test plan, the balance of the response distribution also needs to be pursued. For test design, not only the optimal uniformity of the input end of the test, that is, factors and levels, needs to be considered, but also the output end of the test, that is, the balance and maximum coverage of the test response distribution. In the present invention, an optimization objective function is constructed during the early stage for the uniform test design scheme and during the subsequent sequential test to ensure that the factors, levels, and responses all achieve uniformity, and the corresponding algorithm flow is given.