100 results about "Test optimization" patented technology

A method and system are provided that minimize wafer or package level test time without adversely impacting yields in downstream manufacturing processes or degrading outgoing quality levels. The method provides optimization by determining, a priority, the most effective set of tests for a given lot or wafer. The invention implements a method using a processor-based system involving the integration of multiple sources of data that include: historical and realtime, product specific and lot specific, from wafer fabrication data (i.e., process measurements, defect inspections, and parametric testing), product qualification test results, physical failure analysis results and manufacturing functional test results. These various forms of data are used to determine an optimal set of tests to run using a test application sequence, on a given product to optimize test time with minimum risk to yield or product quality.

The invention discloses an optimization design method for a step stress accelerated degradation test based on a Bayesian theory, and is applied to the technical field of the accelerated degradation test. The optimization design method comprises the steps as follows: firstly, determining product performance degradation and acceleration models, and based on the historical data, giving prior distribution of model parameters; secondly, determining an optimization design space, and forming a test scheme set; thirdly, creating an expected utility function or an expected loss function, determining optimization goals, and based on a Markov Chain Monte Carlo method, determining optimization goal values of designs in the test scheme set; and lastly, finding the optimal test scheme by using a curve fitting method. According to the optimization design method, the shortcoming of high possibility of larger deviation due to the implementation of the traditional (local) test optimization design method when the values of the model parameters are supposed to be known is avoided, and the optimization scheme obtained in the implementation of the test optimization design when the prior distribution of the model parameters is given is more reasonable and more actual.

The invention discloses a bridge finite element model modifying method, which comprises the following steps that: 1, an entity finite element model of a whole bridge is built by universal finite element calculation software ANSYS; and 2, the entity finite element model of the whole bridge is subjected to primary modification by a uniform design method. The bridge finite element model modifying method has the following advantages that the uniform design method is used as a test optimization design method with obvious superiority, and the application of the uniform design method to the bridge structure finite element model modification is feasible; on the basis of the uniform design method, a more correct result can be found in a very short time by the uniform design method in the efficiency aspect, and the bridge large-scale finite element model modification efficiency is improved; a response surface method is used as a test design and mathematical statistics combined mathematical analysis method, and the application of the response surface method to the finite element model modification of a large-scale complicated bridge structure is feasible; and higher modification efficiency and higher modification precision can be ensured at the same time.

The invention discloses an optimization method for a multiple target fault test based on a discrete particle swarm optimization, which takes fault detection rate and fault isolation rate of 100 percent as a primary goal, and as a particle fitness function, carries out optimization to a test point by using the discrete particle swarm optimization. An elite set Xlen1 is introduced for storing a plurality of optimization results which meet the primary goal, a subsequent goal hides and conceals the fault and carries out the optimization in the elite set Xlen1, with the result being a global optimum test set Xlen2. A test set Xlen3 which meets the fault test goal that the number of the test points is smallest and the test cost is lowest is found out on the basis of the global optimum test set Xlen2, then the test set Xlen3 meets the multiple target fault test that the fault detection rate and the fault isolation rate are 100 percent, the average number of fault hiding and fault concealing is smallest, the number of the test points is smallest and the test cost is lowest, thus achieving the aim of the multiple target optimization of the fault test.

The invention belongs to the technical field of energy storage system semi-physical simulation and provides an energy storage system control strategy test optimization platform based on semi-physicalsimulation. An energy storage system is formed by a battery unit, an inverter and an energy manager. The energy storage system control strategy test optimization platform is characterized by, on the semi-physical simulation platform, constructing battery unit, inverter and energy manager simulation models; forming the energy storage system control strategy test optimization platform by utilizing rich IO interfaces of a semi-physical simulation platform and combining an actual energy manager; and testing whether the system parameters of the energy storage system meet national standards under steady-state and transient-state operating conditions, and carrying out optimization.

The inveniton discloses an automatic testing and estimating tool of software in the monitoring system of computer software, which comprises the following parts: realizing too of testing and estimating frame of software, unit testing tool, optimizing tool of integrating testing, reliability testing and estimating tool of software, wherein the unit testing tool is simple technique to integrate black box testing and testing routine of testing data generated by random path; the optimizing tool of integrated testing is the testing optimizing model based on component; the reliability testing and estimating tool of software adopts data bin to collect and store ineffective data to build reliable predicting model based on gene expressive formula program, which analyzes the estimating result of multiple models to give perfect qualitative and quantitative reliable analyzing report. The invention solves the contradiction of incomplete mating between commercial testing tool and local software engineering, which affirms high quality to develop software.

The invention relates to a radio-frequency (RF) signal test connection structure, which comprises a radio-frequency tester, a tested product is provided with a radio-frequency signal test point, the radio-frequency tester is connected with a probe-type radio-frequency head by a radio-frequency cable, and a probe at the end part of the probe-type radio-frequency head is contacted and connected with the radio-frequency signal test point. The invention also relates to a method for realizing radio-frequency signal test optimization based on the radio-frequency signal test connection structure. The radio-frequency signal test connection structure and the radio-frequency signal test optimization method of the invention have the advantages that: the size of the test point is matched with the used probe-type radio-frequency head; the hardware test connection mode is as follows: an RF output port of the tester, the radio-frequency cable, the probe type radio-frequency head, and the radio-frequency signal test point of the tested product are sequentially connected, therefore, the cost for an antenna connector in a BOM of the tested product is saved; the probe-type radio-frequency head is not easy to be damaged, thereby reducing the test cost; the probe-type radio-frequency head is fixed on a clamp for testing, thereby improving the first pass yield of the tested product; meanwhile, the radio-frequency signal test connection structure and the radio-frequency signal test optimization method of the invention are high in test efficiency, simple in structure, fast and convenient to operate, stable and reliable in operating performance, and wide in application scope.

The invention provides a GSM / TD wireless network empty agreement dynamic decoding method which belongs to the wireless network optimizing technique. The method translates the GSM / TD empty information structure into a static defining formation which is used as the dynamic decoding gist for transferring in the decoding course; transfers corresponding the information structure static defining to decode, and decodes corresponding meaning of each bit rapidly and accurately according with the static defining of the information. The method has decoding effect with high effective and real time to the collected GSM / TD information and exhibits to the user, also extracts necessary parameter for exhibiting to the user from a signaling conveniently which provides convenient to the wireless network automatic detection optimizing according with the incident for stating the network optimizing course.

The invention relates to the technical field of design and manufacture of hydro-cyclones, in particular to a numerical simulation and optimization method for parameters of solid-solid separation hydro-cyclones. The method mainly comprises the following operation steps: determining the basic diameter of a hydro-cyclone; determining other structural parameters of the hydro-cyclone; designing a quadratic orthogonal rotation combinative test scheme; carrying out numerical simulation and test optimization on operation parameters; designing an orthogonal test scheme; carrying out numerical simulation and test optimization on the structural parameters. In order to overcome the disadvantages and defects in the prior art, the invention provides a method for carrying out multivariable multi-target parameter optimization on the operation parameters and structural parameters of the solid-solid separation hydro-cyclones by taking separation performance of the hydro-cyclones as target, so as to simply, economically and efficiently realize the parameter optimization of the hydro-cyclones, remarkably improve the separation performance of the hydro-cyclones, improve the production efficiency, reduce the production cost and improve the product quality.

The invention relates to a test and optimization method, device and system based on a universal mobile intelligent terminal plug-in connector. The test and optimization method based on the universal mobile intelligent terminal plug-in connector, disclosed by the invention, comprises the following steps: when any application App (Application) is started, calling the universal plug-in connector integrated into the App; acquiring network information and terminal user perception information of a wireless network through the called universal plug-in connector; optimizing the configuration of the wireless network according to the acquired network information and the acquired terminal user perception information. The test and optimization method and device of the wireless network, disclosed by the invention, have the benefits that the effect of looking the network from a terminal can be realized; meanwhile, the integrated development of any third party application is supported, so that a terminal user does not need to mount dedicated application software; convenient, universal and flexible user complaint channels can be provided, so that a multi-channel network perception data acquisition means is formed.

The invention provides a technical method for yellow rice wine continuous fermentation, performs system testing optimization on the core technology of yellow rice wine continuous fermentation, i.e. yellow wine yeast immobilization, and provides a yellow rice wine immobilizing technical method based on an ACA carrier. In the method, calcium alginate (GLA), calcium alginate- polyving akohol (GLA-PVA) and calcium alginate-chitosan (ACA) are respectively used for immobilizing the best yellow rice wine yeast, and ACA is found to be an excellent immobilizing carrier for yellow rice wine continuous fermentation by comparing the physical performances and the fermentation performances of the immobilization carriers, so the method has the prospect of industrial application. The best condition for preparing the yellow rice wine immobilization carrier ACA is as follows: the concentration of the sodium alga acid solution is 2.0 percent, the concentration of CaCl2 solution is 2.0 percent, the concentration of the chitosan is 0.2 percent, and the liquefying time is 10 minutes.

The present invention discloses a function test optimization method of a dual-use hard disk backplane of a server. The function test optimization method comprises the following steps: 1) a machine is started from a UEFI (Unified Extensible Firmware Interface) shell; 2) the UEFI starts a script and guides the script into a test USB (Universal Serial Bus) flash disk; 3) the script is subjected to examination that whether an NVME (Non-volatile Memory Express) PASS marked file exists in the script; if not, an NVME hard disk starts to be tested, and the NVME PASS marked file is written if the test passes; if yes, an operation system is called to guide the file into the operating system for the test of the module function of a common hard disk; 4) if the test of the module function of the common hard disk passes, the function of the whole dual-use hard disk backplane is normal, the dual-use hard disk backplane is a good product, otherwise, the dual-use hard disk backplane is a defective product. Compared with the prior art, the function test optimization method solves the problem of long consumed time as the hard disk needs to be replaced in a shutdown state and the operating system needs to be started twice due to two parts of the existing test, thereby saving the testing time and the labor cost; moreover, the function test optimization method is high in degree of automation.

The invention discloses a photovoltaic power station fault diagnosis method. The method has the advantages that the automatic testing optimization design is achieved, the fault coverage rate of a testing scheme is increased, the fault ambiguity, the average test cost and the average test time are reduced, the test redundancy is designed according to needs, the overall test cost is reduced, and the test time is shortened; a photovoltaic power station fault strategy is automatically generated, online automatic diagnosis of photovoltaic power station faults is achieved, shut-down is avoided in the diagnosis process, the faults are fast and accurate to locate, the harm time of the faults is shortened, the fault shut-down time is shortened, and the power generation time of a photovoltaic power station is prolonged; dependence, on the technical level of personnel, of the photovoltaic power station faults is reduced, the diagnosis cost is low, the diagnosis level is stable, the diagnosis work amount is small, the requirement for test equipment is low, fast maintaining can be achieved, the power generation time is guaranteed, the diagnostic procedure is fast, and therefore further deterioration of the faults is prevented.

The invention provides a thermal treatment method and equipment for manufacturing an aluminum-alloy automobile steering knuckle. The thermal treatment method is characterized by comprising the following steps: (1) heating an aluminum-alloy automobile steering knuckle casting to 537-547 DEG C; (2) maintaining the temperature of the aluminum-alloy automobile steering knuckle casting at 537-547 DEG C for 335-345 minutes; (3) quenching the aluminum-alloy automobile steering knuckle casting in water of 25-35 DEG C for 180 seconds; (4) heating the aluminum-alloy automobile steering knuckle casting to 153-163 DEG; (5) maintaining the temperature of the aluminum-alloy automobile steering knuckle casting at 153-163 DEG C for 235-245 minutes; and (6) cooling the aluminum-alloy automobile steering knuckle casting in air at the room temperature. By virtue of orthogonal test optimization design on the thermal treatment method and the equipment, the aluminum-alloy automobile steering knuckle casting can have good tensile strength, yield strength, elongation and hardness after being thermally treated; the improvement on the mechanical properties is superior to other methods currently adopted in the field.

The invention discloses a constant-slip pressure curve test optimization method of a steam turbine under throttling and steam distribution. The method comprises the following steps that a, the openingdegrees of governor valves are set, and a heat system parameters of a unit is kept stably for 15 minutes to complete the test in sequence; b, DCS test data is acquired and a mean value is calculated;c, correction through flows and correction generator powers are calculated under the opening degrees of all governor valves, and a governor valve flow characteristic curve and a governor valve powercharacteristic curve are obtained; d, the opening degrees of four governor valves are set and a main steam pressure with 50% rated load and the main steam pressure with 80% of the rated load are calculated, and four sets of pre-selected fixed sliding pressure curves are obtained; e, a variable load speed rate is set to carry out a load up test and a load down test, the opening degrees of the governor valves corresponding to the set variable load speed rate is calculated; and f, the main steam pressure corresponding to the 50% rated load and the main steam pressure corresponding to the 80% rated load are calculated, the two points are connected to draw a straight line, so that the optimized constant-slip-pressure curve is obtained. According to the method, the constant-slip pressure curve of the steam turbine under the throttling and steam distribution can be obtained, the curve gives consideration to the operation economy and load response characteristics of the unit.

The invention discloses a test optimization selecting method considering key failures. The method includes the steps of obtaining a failure-test relevance matrix, establishing an optimization model, solving the optimization model and the like. According to the method, from the angle of system security, the importance of the key failures is analyzed; then based on the relevance matrix, with the test price minimization as the optimization target, with the failure detection rate and isolation rate and the key failure detection rate and isolation rate as the constraints, the test optimization selecting model considering the key failures is established; finally, solution is conducted by means of a binary particle swarm algorithm based on mass center improvement and inertia weight self-adaptiveadjustment. The severe threats caused by key failure detection omission to device security can be effectively eliminated.

Various embodiments test an optimized binary module. In one embodiment, a region in a set of original binary code of an original binary module in which branch coverage is expected to be achieved is selected based on a set of profile information. The region is selected as a target region to be optimized. An optimized binary module is created, where the target region has been optimized in the optimized binary module. The optimized binary module is verified by synchronizing execution of the optimized binary module with execution of the original binary module at a checkpoint while executing both the optimized binary module and the original binary module. The optimized binary module is further verified by comparing an output from executing the optimized binary module to an output from executing the original binary module.

The invention provides a novel jet quenching device with adjustable jet array parameters, and in particular relates to quenching of an ultra-thin steel plate. The novel jet quenching device consists of sliding guide rails, transverse beams, cooling spray pipes and nozzles. The devices are arranged between conveying roller ways, are vertically paired and are perpendicularly and symmetrically distributed relative to a steel plate to be cooled; the distance between the cooling devices and the steel plate is adjustable. When the steel plate is quenched by the novel jet quenching device, the jet array parameters can be flexibly adjusted according to value simulation and test optimization results, jet quenching is performed according to an optimum array layout, and requirements for hardness and flatness specified by technical conditions are further ensured. By virtue of the device, the quenching quality of the ultra-thin steel plate can be obviously improved. The novel jet quenching device is simple in structure and easy to operate.

The invention relates to a layout design method for a chassis charging electromobile power battery box assembly, and the method comprises the following steps: confirming chassis layout plan of a chassis charging electromobile; confirming structure of a power battery box according to the chassis layout plan of the chassis charging electromobile and integrated vehicle performance; combining handling stability and chassis space for confirming centroid arrangement position of the power battery box assembly; combining riding comfort and the centroid arrangement position of the power battery box assembly for confirming arrangement position of connecting point between the power battery box and the chassis. The layout design method for chassis charging electromobile power battery box assembly adopts multi-body dynamics method, test optimization strategy and finite element and the like for comprehensively confirming the arrangement position of the power battery box assembly and the arrangement position of the connecting point between the power battery box and the chassis, handling stability and riding comfort are comprehensively considered during the design process, and vehicle performance of chassis charging electromobile improved based on conventional fuel cars is greatly improved.

The invention discloses an automatic simulation test optimization method based on a state behavior tree. The automatic simulation test optimization method includes the following steps that a hierarchical testing script is designed; a state behavior tree model is established, and initial construction and composition of the state behavior tree are included; test optimization based on the maximum common subtree is conducted, and state behavior tree coding and maximum common subtree solution are included; and hybrid real-time task scheduling is conducted, and establishment of a task scheduling model and formulation of a task scheduling policy are included. The automatic simulation test optimization method based on the state behavior tree is used for optimization of a semi-physical and full-digital combined simulation test, can realize automation of test execution, and improves the testing efficiency; can organically combine the semi-physical and the full-digital to carry out a collaborative simulation test, and optimizes test execution; and can further conduct reasonable scheduling on the two types of simulation test tasks, and improves performance of a simulation system.

The invention discloses a grouping-comprehensive multi-objective evolutionary-based multi-task test optimization method. The method comprises the steps of firstly adopting a multi-objective evolutionary algorithm for each task mode to obtain an elite individual set of test optimization, wherein individuals in the multi-objective evolutionary algorithm are test scheme selection vectors, evolutionary objectives are preset evolutionary objectives of a testability index in the task modes, and a constraint condition of each evolutionary objective is a constraint condition of the testability index in the corresponding task mode; secondly performing multi-task comprehensive test optimization by adopting the multi-objective evolutionary algorithm according to the elite individual set of each task mode, wherein elements of the individuals are serial numbers of the elite individuals of each task mode in the corresponding set; and according to the obtained elite individual set, obtaining multi-task test scheme selection vectors, namely, non-dominated solutions of the multi-task test optimization. By adopting the method, the non-dominated solutions of the multi-task test optimization under the multi-objective condition can be obtained more quickly, and a calculation result is more accurate.

The invention discloses an implementation method for the test optimization of a complex system in the technical field of test diagnosis in equipment production and maintenance process. The method comprises the steps of: initializing a system to be tested; preprocessing a fault diagnosis matrix labels.MC of the system to be tested; judging whether a set, namely labels-set, is an empty set, if the set, namely labels-set, is not the empty set, selecting a node as a current node from the set, namely labels-set, and preprocessing the current node; calculating the upper limit new-U of the current node; judging whether the current node is a leaf node, if so, processing other nodes in the set labels-set; otherwise, dividing the current node into two child nodes, and adding the two divided child nodes into the set, namely labels-set, and deleting the current node from the set labels-set, and then, processing other nodes in the set labels-set. The implementation method ensures that the optimal test points can be searched, and the high speed is satisfied.

The invention discloses a method of analyzing software test defects on the basis of a test management tool QC. The method includes: acquiring software needing to be tested; determining a quality control level for the software needing to be tested, and determining, on the basis of the quality control level, at least one evaluation index of testing the software; determining a software test process according to the evaluation quality, and editing a test script on the basis of the software test process, wherein the test script is used for carrying out a software test and acquiring the one or moredefects in the software and a test result of the at least one evaluation index; determining a weight value for the test result of the at least one evaluation index according to importance degrees of modules in which the defects are located; and using the weighted sum of the test result of the at least one evaluation index as a test defect analysis result of the software. According to the method, test optimization of a test project is realized through analyzing the defect test result, and accuracy and timeliness of software test defect counting analysis are improved through the defect analysisresult of each evaluation index.

The invention provides a model training test optimization and deployment method and device based on a container. The method comprises the following steps of deploying service grid service for a container environment where model training is located; receiving an interface service request input parameter through a model training and testing algorithm driving program to carry out algorithm iteration;and in a model training and test algorithm iteration process, recording an association relationship between algorithm iteration parameters and a training target function, and recording and visually displaying an intermediate result in the training process. According to the method, the security is improved by using a container service grid conversion mode, the request of the algorithm serves a request interface, the problem that an original system cannot be embedded is solved, and meanwhile, the corresponding relationship between the model training parameters and the training target function in the training process is analyzed and stored, so that the model training intermediate process is visually displayed, and debugging and training optimization are facilitated.

The present application relates to an engine bench calibration test optimization method, a computer device, and an engine bench calibration test system. The method comprises the following steps: determining the next test condition point to be used when the automatic calibration device performs calibration test task during the engine calibration test process; predicting the corresponding simulationstate parameter value when the engine runs at the next test condition point; If the simulation state parameter value is within the corresponding preset boundary constraint range, sending effective information to the automatic calibration device, wherein the effective information is used for instructing the automatic calibration device to send the calibration test instruction corresponding to thenext test working condition point to the bench; if the simulation state parameter value exceeds the corresponding preset boundary constraint range, an invalid information being sent to the automatic calibration device, and the invalid information being used to instruct the automatic calibration device to re-read a test condition point after the next test condition point. The test safety can be improved by use the present application.

The invention discloses a dynamic test optimization device of a rotor wing unmanned aerial vehicle and a duct unmanned aerial vehicle as well as an optimization method thereof, comprising a computer,a connecting head, an optical shaft, two linear rotary bearings, two bolt rolling bearings, a tension and pressure sensor, a torque sensor, a connecting sleeve, a connecting plate, etc. The dynamic test optimization device of the rotor wing unmanned aerial vehicle and the duct unmanned aerial vehicle as well as the optimization method thereof provided by the invention has the following beneficialeffects: the delivery movement and force of a mechanism are effectively combined so as to eliminate the defects of simple structure, single drive and great friction resistance of a traditional conduction mechanism; for the dynamic test equipment of the rotor wing unmanned aerial vehicle and the duct unmanned aerial vehicle deployed in a complex outdoor environment, the invention can reduce the energy consumption and prolong the working service life of these sensors so as to complete the conduction of the movement and force in high quality.

A method for optimizing tests of a software application. The method includes determining a test run time for each test of a plurality of tests of a software application; and dividing the tests into a plurality of test groups. The method further includes assigning a worker system of a plurality of worker systems to each test group; and causing the worker systems to run the tests.

A method of implementing integrated circuit device testing includes performing baseline testing of a first group of chips using a full set of test patterns, and for chip identified as failing, determining, a score for each test pattern in the full set. The score is indicative of an ability of the test pattern to uniquely identify a failing chip with respect to other test patterns. Following the baseline testing, streamlined testing on a second group of chips is performed, using a reduced set of the test patterns having highest average scores as determined by the baseline testing. Following the streamlined testing, full testing on a third group of chips is performed using the full set of test patterns, and updating the average score for each pattern. Further testing alternates between the streamlined testing and the full testing for additional groups of chips.