17 results about "Testability" patented technology

The invention belongs to the technical field of aircraft test design, and particularly relates to a method and a device for determining risks of a manufacturer and an ordering party in a testability test. The method comprises the following steps: step S1, obtaining influence factors of a contractor risk and an ordering party risk; s2, calculating the maximum feature root of a first matrix constructed by the importance among the influence factors, and meanwhile, calculating the maximum feature root of a second matrix constructed by the influence degrees of the influence factors on the acceptor and the ordering party; s3, calculating a correction amount according to a ratio of the maximum feature root of the first matrix to the maximum feature root of the second matrix; and S4, according to the correction amount, correcting a given acceptor risk and a given ordering party risk. According to the method, the design requirements of the acceptor risk and the ordering party risk are met, and scientific balance between cost control and risk prevention and control is realized.

The invention discloses a multi-target test selection method and system under a test uncertainty condition based on E domination guidance. The method comprises the following steps of: firstly, explicitly modeling uncertainty in a test process by using a detection probability matrix and a false alarm probability matrix; secondly, establishing a multi-objective optimization model which takes the minimum test cost, the minimum missing report rate and the minimum false alarm rate as objectives and takes the fault detection rate and the fault isolation rate as constraints; introducing an E domination relation fused with the preference of a decision maker to improve a traditional Pareto domination criterion; on the basis, designing an E-GPSO algorithm fusing a genetic algorithm and particle swarm optimization to perform iterative search, and dynamically maintaining a non-inferior solution set by adopting an external file based on an E domination criterion; and finally, outputting an optimal test scheme set meeting the constraint and the preference. According to the method, the test cost and the diagnosis reliability can be effectively coordinated and optimized, the decision space is remarkably reduced, and the efficiency and the quality of testability design are improved.

The invention provides a testability forward design method taking a hierarchical fault mode as a center, and relates to the field of general quality characteristic design, which comprises the following steps: determining product functions according to user requirements, distributing the functions according to physical or logic composition, forming a product architecture design and a high-level product component list, and setting the product architecture design and the high-level product component list; performing multi-angle fault mode analysis on each function corresponding to the high-level product assembly, and performing testability demand analysis on each fault mode; the method comprises the following steps: firstly, carrying out multi-level product component analysis on each high-level product component, further carrying out detailed design and function distribution on each high-level product component to form a detailed product design and low-level product component list, carrying out multi-angle fault mode analysis on each sub-function corresponding to each low-level product component, and carrying out testability design analysis on each sub-fault mode. The method can solve the problem of insufficient systematicness and completeness of product testability design, and provides a specific and clear implementation path for product testability architecture design and testability detailed design.

The invention provides a UQ-based flight control servo actuation system reliability multi-objective optimization method, and relates to the technical field of aviation system reliability, and the method comprises the following steps: S1, respectively constructing a system safety optimization objective, a reliability optimization objective and a testability optimization objective; s2, constructing a target constraint function based on a security optimization target, a reliability optimization target and a testability optimization target, and determining a non-deterministic constraint variable; and S3, solving the target constraint function to obtain an optimized constraint target result. According to the method, uncertainty constraint parameters such as system weight, material consumption, system redundancy and unit failure rate are constructed in combination with a system safety and reliability testability calculation model for uncertain factors influencing system safety and reliability testability in a system design process; and an optimization algorithm is determined, an optimization solution process is defined, different design schemes and optimization results are obtained through optimization solution, and collaboration and tradeoff of different design characteristics of the system are supported.

The invention belongs to the technical field of avionics verification, and particularly relates to a model-based testability verification method and system. Comprising the following steps: analyzing a model, and obtaining related information of a data flow direction, a fault mode and a test point; determining a fault propagation path according to the data flow direction and the fault mode; determining whether each fault mode can be detected by the test point according to the fault propagation path and the test point; according to the model and the test point, analyzing a report path of a test result of the test point; and according to the report path and the fault propagation path, determining whether the test point detection result can be reported successfully. The problem that an existing testability verification result is insufficient in accuracy is solved, and rapid verification of a product is achieved.

The invention belongs to the technical field of aircraft test design, and particularly relates to an aviation product testability minimum acceptable value determination method and device. The method comprises the following steps: S1, obtaining a testability specified value of a historical same-type product of a newly researched aviation product, a lowest testability acceptable value of the historical same-type product, state identification research time of the historical same-type product and column installation shaping time of the historical same-type product; s2, determining the testability growth ability of historical products of the same type; s3, obtaining a testability index specified value of the newly researched aviation product, state identification predicted development time of the newly researched aviation product and column installation predicted time of the newly researched aviation product; and S4, determining the lowest testability acceptable value of the newly researched aviation product. According to the method, the minimum acceptable value of the testability of the aviation product can be quickly calculated, and the reliability and credibility of the test are ensured.

The invention discloses a testability diagnosis strategy generation method and system based on a correlation model, and relates to the technical field of testability engineering.The method comprises the steps that a multi-signal correlation model containing functions, faults and test signals is constructed, a correlation matrix is generated, test points are optimized through an information gain greedy algorithm, a test point optimization set is obtained, and the test point optimization set is obtained; and automatically generating a diagnosis strategy, then performing testability parameter simulation prediction, comparing a predicted value with a distribution index to generate a verification result, and when the verification result is not passed, triggering a closed-loop iterative optimization mechanism to perform optimization adjustment until the predicted value meets the distribution index, and generating a diagnosis optimization strategy. According to the method, the technical problems that index distribution and engineering practice are disjointed and diagnosis scheme design and verification links are separated in complex equipment testability design are solved, and the technical effects that complex equipment testability index distribution fits the practice, a diagnosis scheme and verification form collaboration and can be dynamically optimized, and later reworking is avoided are achieved.

The application belongs to the technical field of aircraft test design, and particularly relates to a method and device for determining the minimum acceptable value of testability of an aviation product. The method comprises the following steps: S1, obtaining the testability specified value of a historical same-type product, the minimum acceptable value of testability of the historical same-type product, the state appraisal development time of the historical same-type product, and the deployment completion time of the historical same-type product; S2, determining the testability growth capability of the historical same-type product; S3, obtaining the testability index specified value of a newly developed aviation product, the state appraisal expected development time of the newly developed aviation product, and the deployment expected time of the newly developed aviation product; and S4, determining the minimum acceptable value of testability of the newly developed aviation product. The application can quickly calculate the minimum acceptable value of testability of the aviation product, and ensures the reliability and credibility of the test.

The invention discloses a digital twinning-based complex product testability scheme heuristic generation method, which comprises the following steps: constructing a digital twinning model of a complex product sensing system, the digital twinning model integrating component fault data and a multi-level signal flow graph; analyzing a fault propagation path based on the multi-level signal flow graph, and determining a candidate test point set; and using an improved genetic algorithm to optimize the candidate test point set according to the component fault data and the fault propagation path, and generating an optimal testability scheme. According to the method, in the testability scheme generation process, the digital twin technology and the heuristic algorithm are combined, and collaborative improvement of the test efficiency, the fault coverage degree and the resource utilization rate is achieved.

The invention discloses a complex response curved surface confidence evaluation system and method based on KL feedback, and the system comprises an experiment design module, a confidence evaluation module and a response curved surface design module. The method comprises the following steps: loading a control variable point in a corresponding industrial simulation system to simulate an industrial operation process to obtain industrial data, and inputting the data into an industrial fault recognition model for training to obtain a model training statistical condition; the confidence coefficient evaluation module selects a corresponding confidence coefficient evaluation method to carry out fitting processing on a confidence coefficient evaluation model according to the training statistical condition, and a fitted evaluation model is obtained; and the response curved surface design module performs KL deviation calculation according to the response information of the initial control variable point in the industrial simulation system to obtain a curved surface design point result. Statistical inference and decision making can be scientifically and reasonably carried out on the testability level of the fault recognition device in the initial use stage, and the response curved surface design level of the design method can be effectively improved.

This invention provides methods for enhancing the testability of AI / ML beam management (BM) models. The methods involve using a single angle of arrival (AoA) for signal transmission and incorporating a calibration step to account for UE beamforming gain. These methods aim to reduce uncertainty in testing environments and improve the accuracy of AI / ML BM model performance evaluations by ensuring consistent and reliable measurement conditions.

The invention discloses a testability verification and evaluation method and device based on complex working condition driving, and relates to the technical field of testability verification of electric control systems of diesel engines. The method comprises the following steps: determining to-be-verified functional units in the electric control system and fault modes corresponding to the functional units, and establishing an association relationship between the fault modes and stress; establishing a dynamic multi-stress coupling model; generating a target verification profile; generating a verification sample plan based on the target verification profile, and determining verification sample sufficiency by calculating the effective coverage entropy of the verification sample plan; the method comprises the following steps: collecting multi-source information and carrying out standardized preprocessing on the multi-source information to establish an electric control system testability comprehensive evaluation index system; fusing the multi-source information after standardization preprocessing to obtain fused multi-source information; and analyzing the fused multi-source information and / or the standardized pre-processed multi-source information by adopting a data mining technology to obtain a testability verification evaluation result.

This invention discloses a sampling and evaluation method for equipment testability testing based on three-dimensional fault data fusion, belonging to the technical field of equipment testability testing and evaluation. It includes: acquiring three-dimensional evaluation data for all fault modes of the equipment; normalizing the data to obtain a normalized three-dimensional feature vector for each fault mode; performing weighted fusion using weight coefficients to obtain initial fusion weights; revising the lower limit of the initial fusion weights to obtain final fusion weights; obtaining the three-dimensional fusion weighted sampling probability for each fault mode after normalization; calculating the total sample size of the test; performing PPS sampling allocation using forced sample position allocation and low-difference sequences respectively; conducting physical fault injection tests based on sample allocation; calculating the unbiased estimate of the fault detection rate and the one-sided confidence lower limit of the fault detection rate; and completing the equipment testability evaluation. This invention can improve the scientific rigor of equipment testability evaluation.

The invention relates to a testability modeling and analysis method based on closed-loop control system architecture design. The method comprises the following steps: decomposing system-level functions of the closed-loop control system into component functions according to a composition structure and function definition of the closed-loop control system, and forming a function list; determining a function fault mode, a fault rate and a fault influence level based on the function list; forming a fault transmission path; a testability model is established, and after simulation analysis and calculation, the detection rate of the fault mode is obtained; sorting the function fault modes from high to low according to the fault rates, and calculating an accumulated detection rate based on the corresponding detection rate; optimization is carried out based on the indexes; and based on the initial test set, comprehensively considering the fault influence and the test cost, and adjusting and optimizing the initial test set to obtain an optimized test set. The problem that system testability design and analysis cannot be carried out at the initial stage of closed-loop control system design in the prior art is solved.

The invention discloses a multi-valued system diagnosis strategy optimization method considering test uncertainty, and relates to the technical field of spacecraft testability design and fault diagnosis. The method solves the problems that in existing aerospace multi-valued system diagnosis, test uncertainty is not considered, multi-target optimization is missing, and the global search capability is insufficient, and the method comprises the steps that based on a fault test correlation matrix, a multi-target optimization model fusing average test cost, test reliability and a fault isolation rate as optimization indexes is established; a multi-valued information entropy heuristic function is introduced to improve the local search efficiency of the multi-target optimization model; on the basis of adopting a discrete particle swarm algorithm and designing a linear decline inertia weight, realizing global optimal search of a test sequence; three indexes including the average test cost, the reliability and the fault isolation rate are optimized cooperatively through the fitness function, and a diagnosis strategy meeting engineering requirements is output. And the method is also suitable for a multi-valued test scene with test uncertainty in an aerospace complex system.

This invention belongs to the field of reliability design analysis. It proposes a collaborative modeling and optimization design method for equipment reliability and testability based on an availability model. Key design indicators in reliability and testability design schemes are used as decision attribute data to evaluate the quality of the schemes. Weight coefficients for each decision attribute data are determined, and a multi-attribute decision-based reliability and testability design scheme optimization model is used to perform optimization analysis on various reliability and testability design schemes. This yields a ranking of multiple design schemes, and finally, the optimal reliability and testability design scheme is selected, thus realizing an overall collaborative modeling and optimization technique for reliability and testability.

The invention belongs to the field of testability design of integrated circuits, and discloses a TSV efficient test and diagnosis method and circuit based on true complements, and the method comprises the steps: dividing a TSV array into G groups, generating a test sequence based on the true complements, taking each group as a victim and the rest as attackers in turn, respectively applying '001' and '010' excitation, and exciting and identifying ten types of faults through multiple rounds of tests; and 6-bit response is compressed into 4-bit fault codes by adopting time division multiplexing identification logic, so that the unique judgment of the fault type is realized. The corresponding circuit comprises a finite state controller, a test data generator, a boundary register and a reusable identification module, supports full built-in self-test, and does not need external equipment intervention. According to the method, the high fault coverage rate is guaranteed, meanwhile, the test time is remarkably shortened, the hardware overhead is reduced, and the method is suitable for the high-density TSV interconnection array arranged at will and has the advantages of being high in test efficiency, low in cost and wide in application range.