84 results about "Reliability design" patented technology

The invention discloses a face gear planetary transmission system dynamic uniform load test platform and test method, and belongs to the field of gear transmission, and the test platform comprises a rack, a drive motor, a step-up gear box, a face gear planetary transmission system, a magnetic powder brake, a torque sensor, a slip ring, a stress strain test system and the like. The face gear planetary transmission system comprises an input face gear, a planet wheel, a planet carrier, a fixed face gear and the like. According to the dynamic uniform load test, stress values at the tooth root of the face gear and the tooth root of the planetary gear are measured mainly through strain gauges, and the corresponding relation between the tooth root stress and the meshing force at the gear meshing point is obtained through finite element simulation. And calculating the dynamic uniform load coefficient according to the dynamic meshing force root-mean-square values and the average values obtained at the tooth roots of the face gear and the planetary gear. By testing and analyzing the dynamic uniform load coefficient, the load distribution characteristic of the face gear planetary transmission system can be accurately revealed, a scientific basis is provided for structural parameter optimization, meshing performance improvement and reliability design of the face gear planetary transmission system, and then accurate and high-performance design of the transmission system is achieved.

The invention discloses a gear pair life prediction method based on dynamic stress, belongs to the technical field of reliability design of mechanical transmission systems, and aims to solve the problem of inaccurate life prediction caused by neglecting a dynamic effect and a real surface topography in an existing gear design method. The method comprises the following steps: firstly, acquiring gear pair interface mechanical property parameters considering shafting vibration, dynamic load and surface roughness, wherein the parameters comprise transient oil film pressure, friction coefficient, oil film thickness and shear stress; solving a three-dimensional subsurface stress field by adopting an algorithm and calculating von Mises equivalent stress distribution; stress volume integration is conducted on different rough surfaces, the honed surface is used as the reference, the relative fatigue life of other surfaces is calculated based on the Zaretsky life prediction theory, and accurate prediction and process optimization of the contact fatigue life are achieved; meanwhile, the dynamic bending stress of the tooth root is calculated based on the dynamic normal load, and the bending fatigue safety coefficient is checked.

The invention relates to a satellite-borne electronic hardware design guarantee method and system. The method comprises the following steps: determining a satellite-borne hardware guarantee level (SHL) of satellite-borne electronic hardware; integrating a fault mode injection FM I into a design process of satellite-borne electronic hardware, and adjusting the execution depth of the FM I based on the SHL level; and providing a process cutting engine, and realizing adaptive process cutting based on a DO-254 standard according to the SHL level and in combination with the execution depth of the FM I. The system comprises an SHL evaluation module; an FM I management module; a space environment effect knowledge base; and a process cutting engine. According to the method, the problem that the DO-254 standard is insufficient in adaptability in the aerospace field is solved, the reliability design and verification efficiency of satellite-borne electronic hardware is remarkably improved, and the method is suitable for aerospace tasks such as various satellites and deep space probes.

The invention provides a motor stator potting structure failure risk assessment and optimization design method. The method comprises the following steps: firstly, establishing a simplified numerical calculation domain based on a potting structure, carrying out grid and time step length independence verification, carrying out parameter sensitivity analysis and experimental measurement, and establishing a high-precision thermal-mechanical coupling numerical calculation model; then, in combination with the simulation result and the temperature change constitutive characteristics of the ultimate strength of the material, a node-level failure risk calculation method is provided, failure risk indexes of different stress forms are obtained, and a weighted comprehensive failure risk evaluation standard is determined according to the contribution degree of the stress forms to failure behaviors; and finally, proposing a parameterized structure optimization scheme according to a dangerous area and a dominant failure mechanism, carrying out quantitative evaluation and optimization on the candidate scheme under a weighted comprehensive failure risk evaluation standard, and determining a final structure optimization scheme. The method has the advantages of closed flow loop and quantifiable indexes, and is suitable for reliability design and life evaluation of the motor encapsulation structure.

The invention relates to a structure for protecting focal plane electronics to realize installation in different postures. A tool structure comprises a base installation platform, a frame installation plate, a box installation plate, an overturning fixing frame A, an overturning fixing frame B, an overturning arm and an installation plate connecting block. According to the invention, the installation deformation is controlled within a safety threshold through an integrated tool structure, the posture adjustment of a complex electronic assembly is realized, the installation efficiency is effectively improved, the damage probability of a flexible product (a flexible circuit board) is greatly reduced, and a key technical support is provided for the miniaturization and reliability design of high-density electronic equipment.

The application provides a long-distance slag conveying numerical self-adaptive control method based on CFD, relates to the technical field of slag conveying pipeline analysis, and comprises the following steps: constructing a pipeline real-time data set; generating a calculation grid; combining a mathematical model and a dynamic boundary condition to construct a CFD dynamic simulation system of a pneumatic conveying pipeline; performing solution calculation on the CFD dynamic simulation system to obtain a flow parameter distribution model in the slag conveying pipeline; performing feature extraction on the pipeline real-time data set and the flow parameter distribution model, mining the correlation between features and fault types through a weight matrix and a cross-term weight matrix, obtaining a multi-modal fault diagnosis judgment result, and generating a slag conveying pipeline self-adaptive control strategy. The technical problems that the simulation accuracy is limited, it is difficult to support high-reliability design, a multi-physical field data fusion mechanism is missing, accurate fault diagnosis cannot be achieved, dynamic self-adaptive analysis capability is lacked, and the timeliness of fault early warning and regulation strategies is insufficient in the prior art are solved.

The invention belongs to the technical field of satellite-borne computer high-reliability design, and particularly relates to a high-reliability satellite-borne computer master control module circuit which comprises a CPU board, an FPGA board and a watchdog circuit. Wherein the CPU board is composed of two identical CPU minimum systems, namely a CPU-A and a CPU-B, and the two CPUs are in a master-slave relationship; the FPGA board is composed of two identical FPGA minimum systems of FPGA-A and FPGA-B, and the two FPGAs are in a master-slave relation and are respectively connected with the master CPU and the slave CPU to serve as arbitration boards; and the two watchdogs are respectively connected with the master FPGA and the slave FPGA, and mutually perform state monitoring with the master FPGA and the slave FPGA.

The invention provides a random point collocation method for solving global sensitivity of an augmented failure probability of a turbine blade structure, and belongs to the technical field of reliability design. Comprising the following steps: constructing an expected density function of an n-dimensional random input variable of a turbine blade structure to obtain an n-dimensional expected density function; calculating an unconditional augmentation failure probability of the turbine blade structure based on the n-dimensional expected density function and the performance function; a Gauss-Hermite integral quadrature node of the n-dimensional expected density function is determined; constructing an expected density function of (n-1)-dimensional random input variables except the i-th dimension of the turbine blade structure to obtain an (n-1)-dimensional expected density function except the i-th dimension; based on the (n-1)-dimensional expected density function and the conditional performance function, the conditional augmentation failure probability of the turbine blade structure corresponding to the Gauss-Hermite integral quadrature node is calculated; and determining the augmented failure probability global sensitivity of the turbine blade structure. According to the invention, the calculation efficiency of the global sensitivity of the augmentation failure probability of the turbine blade structure can be improved.

The invention provides a reliability index distribution method and device for a power system, and is applied to the technical field of reliability design of the power system, and the method comprises the steps: obtaining the working condition characteristics and structure information of each part of the power system; inputting the working condition characteristics of each component into a trained severity quantification model based on a gradient boosting tree model to obtain a severity score of each component; inputting the component attribute and the connection relation of each component of the power system into a trained influence degree quantification model based on a graph neural network model to obtain an influence degree score of each component; and adopting a preset optimization algorithm to determine a reliability index distribution result of the power system based on the severity score of each component and the influence degree score of each component under a target constraint. According to the invention, the reliability design efficiency and accuracy of the system can be improved.

The invention discloses a multi-chip module (MCM) interconnection reliability optimization method based on a WOA-GRNN. The method comprises the steps of MCM three-dimensional automatic modeling, load condition application, interconnection reliability WOA-GRNN modeling, and WOA-GRNN modeling result and analysis. According to the core of the method, an ANSYS parameterized language is adopted to construct a three-dimensional (3D) model and interconnection reliability analysis, a WOA-GRNN technology is adopted to quickly construct a nonlinear model of MCM input and output based on collected data, a reliability database is generated according to the nonlinear model, and key guidance is provided for MCM reliability design and analysis. The MCM interconnection reliability prediction method can greatly improve the MCM interconnection reliability prediction efficiency, further provides important reference for the layout design of the chip, and is an important measure for guaranteeing the MCM chip reliability.

The invention provides a karst tunnel excavation support pressure reliability design method based on threshold gradient. According to the method, aiming at three random variables in an HB constitutive model, firstly, center composite sampling is carried out in a standard normal space to obtain seven test points, coordinates of the test points are converted into an original parameter space, a failure threshold value of each test point is obtained through calculation by establishing a numerical model, then a secondary response surface agent model without cross terms is established, and the failure threshold value of each test point is calculated. And establishing a tunnel face support force dominant threshold function by solving a linear equation set and determining seven coefficients of the proxy model, on this basis, proposing a standard normal space target reliability isoline checking point iteration method, performing checking point iteration on a sphere with the radius being the target reliability, and updating checking points in a gradient manner by adopting the threshold function. And calculating the collapse load of the design point during iterative convergence, so that the collapse load meets the requirement of a target reliable index. According to the method, the design complexity is reduced, and the design efficiency is improved.

The present application relates to a kind of spot I type nugget fracture failure constitutive model construction method, belong to the fracture mechanics and numerical simulation method technical field of spot welding joint.The technical scheme of the present application is: the parameter construction of constitutive model is carried out, parameter is directly used for spot welding joint related finite element simulation;Spot welding joint is bonded with uniaxial tensile fixture, and the tensile experiment of nugget fracture form is completed under tensile testing machine and the load-displacement curve and maximum load are recorded;Finite element model is constructed and tensile displacement is calculated;Convert and correct stress-displacement curve in combination with measured nugget area, solve maximum tensile stress and fracture energy, parameter is substituted into model and the precision of replacement connection mode is verified.The beneficial effects of the present application are: the accurate construction of spot I type nugget fracture failure constitutive model is realized, which provides standardized mechanical parameter support for spot welding joint structure reliability design and welding process optimization, and significantly improves the accuracy and engineering application value of finite element simulation.

The invention discloses an accelerated life test device and method for an MEMS inertial device. A test board of the device is fixed on a middle bracket at the bottom in a damp-heat test box; the damp-heat test box is mounted on a cantilever of the three-axis turntable; the direct-current power supply and the signal collector are respectively connected with the test box through a low-frequency electric connector; the control computer is connected with the three-axis turntable, the damp heat test box, the direct-current power supply and the signal collector; determining the highest stress level and the multi-stress level of the test sample; determining test sample groups, and constructing a test sample multi-stress acceleration model; determining a test point and a test truncation of the test sample; setting the test device to each stress level for testing, and after a specified test interval is reached, controlling a computer to acquire performance parameters and test stress of a test sample until the step test truncation requirements are met; according to the method, the research and development period is shortened, the test cost is reduced, and a theoretical and experimental basis closer to reality is provided for reliability design and life evaluation of the device.

The invention relates to the technical field of data processing, in particular to a quantitative analysis method for mechanical property dispersibility of ceramic matrix composite components, which comprises the following steps: acquiring experimental measured values corresponding to a surface strain field and a stress-strain curve; constructing a data set; constructing a neural network model, and obtaining predicted values corresponding to the surface strain field and the stress-strain curve; obtaining posterior distribution of mechanical property parameters of each test piece; constructing a hierarchical Bayesian inference model and obtaining posterior distribution of hyper-parameters of the hierarchical Bayesian inference model; and obtaining a quantitative analysis result of the mechanical property dispersibility of the components of the ceramic matrix composite material. According to the invention, systematic quantification and consistency evaluation of material performance dispersibility are realized, and effective data support is provided for quality control, reliability design and engineering application of the ceramic matrix composite material.

The invention discloses an equipment system task reliability evaluation method based on a task chain element model, and the method comprises the steps: firstly formalizing an equipment system into a dynamic directed graph, building an equipment system task chain model with space-time constraints, and definitely embedding the constraints such as node mobility, instantaneous position, operation time window and the like into a task chain forming process; then, a task reliability evaluation method taking a novel task chain element model as a core is provided, an effective function path under dynamic space-time constraint is quantified, and the limitation of a traditional model in the aspect of verifying space-time effectiveness of node interaction is overcome. Finally, a typical multi-source uncertain impact case is selected as a research object, task reliability modeling evaluation is conducted on the equipment system, the effectiveness and applicability of the method are verified, and theoretical and technical support is provided for guiding reliability design and evaluation decision making of the equipment system in the dynamic space-time environment.

The present application relates to a kind of piston thermal deformation and second-order motion posture online measurement method, comprising: obtaining the cylinder liner cold-state geometric profile radius of internal combustion engine, cylinder liner thickness and the cold-state geometric profile parameter of piston;Dynamic signal under combustion state is collected and processed, form cylinder liner outer wall dynamic strain matrix and piston-cylinder dynamic oil film thickness matrix;Based on cylinder liner outer wall dynamic strain matrix, calculate the coupling deformation data of cylinder liner under thermal stress and piston dynamic knock, combine cylinder liner outer wall dynamic strain matrix, calculate the cylinder liner inner wall thermal geometric radius matrix under combustion state;Based on piston-cylinder dynamic oil film thickness matrix and cylinder liner inner wall thermal geometric radius matrix, calculate the thermal profile matrix of piston, obtain the dynamic thermal deformation of piston and export the second-order motion posture of piston.The present application can obtain the thermal deformation and second-order motion state of piston in real time, provide important reference for the reliability design of piston second-order motion theory and engine operation.

The invention discloses an on-orbit single event upset protection method for a FLASH storage chip and a reliability evaluation method of the FLASH storage chip, and relates to reliability design and test of the FLASH storage chip for an on-orbit satellite. The problems that the prior art depends on an expensive and limited ground heavy ion test and is insufficient in applicability to a long-term on-orbit working mode, a satellite shielding effect and proton overturning of a storage chip are solved. According to the method, protection is carried out according to two-out-of-three of storage bits, and the reliability evaluation method specifically comprises the steps that the proton energy spectrum of a track where the FLASH storage chip is located is calculated, a proton single-particle experiment is carried out based on the proton energy spectrum, the single-particle upset bit number and the single-particle upset section are obtained, a single-particle upset energy threshold value is obtained through Bendel two-parameter fitting, and the single-particle upset energy threshold value is used for evaluating the reliability of the FLASH storage chip. The single event upset probability of each storage bit of a single FLASH chip is calculated, and the reliability of protection according to two-out-of-three of the storage bits is evaluated. The method is suitable for the fields of spacecraft electronic system reliability design, on-orbit storage chip single event effect evaluation and the like.

The invention provides a gas turbine compressor blade service life evaluation method based on high-cycle fatigue characteristics, and aims to solve the problem that fatigue tests under pure simulation and laboratory conditions cannot be effectively combined to meet the requirement of gas turbine blade type core component service life evaluation. According to the method, the strength condition and the vibration condition of the blade are determined through finite element analysis, then the stable attenuation law of the fatigue strength of the blade is obtained by actually measuring the vibration stress and the fatigue limit values of the blade in different use time periods, and the service life of the gas turbine compressor blade is comprehensively evaluated by taking the high-cycle vibration fatigue reserve as the standard. The method is not limited to a ship gas turbine compressor, is also suitable for effective evaluation of the service life of the moving blades of an industrial gas turbine and an aero-engine compressor, and can provide a fatigue reliability design direction for a new model.

This invention discloses a reliability design method for a water surface photovoltaic (PV) base under extreme environmental loads, comprising: acquiring time-series data of environmental driving variables of the target water area, including at least wind speed time-series data and operating water level time-series data; based on the time-series data, deterministically generating wave characteristic parameters using a shallow water wave forecasting physical model; constructing a dynamic response model based on the wave characteristic parameters and time-series data to obtain the multi-degree-of-freedom mechanical response of the base and mooring system; and performing Monte Carlo simulation accelerated by a surrogate model based on a pre-constructed joint probability distribution and multi-degree-of-freedom mechanical response to obtain reliability indices. This invention achieves physical dimensionality reduction of environmental variables, improving the accuracy of probabilistic assessment of the mechanical system and the efficiency of engineering calculations.

The invention relates to the field of system engineering and reliability design, in particular to a system reliability integrated design and optimization method and device based on an ontology and a meta-model and a computer readable storage medium. According to the method, firstly, a reliability design body is defined, and a synchronous evolution framework of reliability constraint and architecture design is formed; analyzing an operation scene based on a SysML model, defining a system-level reliability demand, decomposing the demand to a sub-function level, and generating a function layer reliability demand; constructing a reliability analysis model, and performing reliability analysis based on the failure analysis model; the reliability analysis model is optimized, automatic exploration of a design space is executed, and a Pareto optimal solution set meeting multiple constraints is generated; and constructing a reliability simulation verification model through a parameter diagram of the SysML model, running reliability index conformity of a simulation verification optimization scheme, and updating reliability parameters.

According to the reliability distribution method and system considering the design margin and the development cost, the margin coefficient is introduced in the reliability design stage while economic indexes are considered, the average life-cost model of parts is constructed, and the reliability model of complex equipment is constructed based on the Bayesian network. On the premise that the task reliability requirement of considering the design margin is met, an optimization model of reliability distribution considering the design margin is established by taking the minimization of the total development cost as an optimization target, the optimal balance point of reliability and cost is searched based on the Monte Carlo random algorithm, and the reliability distribution optimization model of the design margin is established. And generating an optimal reliability allocation scheme of the complex equipment which meets the task reliability requirement and has the minimum development cost. According to the method, the overall reliability of the complex equipment is ensured, meanwhile, the proper design margin is reserved to cope with possible improvement or uncertainty factors in the future, effective control over the cost and reasonable distribution of the design margin are achieved, and the market competitiveness of the complex equipment and the use satisfaction degree of users can be improved.

Disclosed herein is a method and apparatus for designing a powertrain system architecture for a mobility apparatus based on allowable failure rate of system and reliability. The method includes generating an available power rate under failure of a system based on a failure scenario according to a failure of components in the system architecture, generating a system reliability according to the failure scenario based on a failure rate of the component and a connection combination between the components of the system architecture, determining severity data of the system related to the available power rate under failure, based on risk level data indicating a correlation between a risk level and a power reduction rate of the system according to the available power rate under failure, and determining whether to adopt the system architecture based on an allowable failure rate of the system corresponding to the severity data and the system reliability.

The application provides a power distribution network collaborative optimization scheduling method and device and electronic equipment, and relates to the technical field of power system dispatching automation. The method comprises the following steps: obtaining current operation state data of a power distribution network, target scheduling information of distributed resources and historical operation data; constructing a day-ahead pre-scheduling optimization model according to the current operation state data of the power distribution network and the target scheduling information of the distributed resources; determining a probability distribution fuzzy set based on the historical operation data; constructing a collaborative optimization model, wherein the collaborative optimization model comprises a first optimization stage and a second optimization stage; and solving the collaborative optimization model to obtain an optimized scheduling strategy of the power distribution network, wherein the optimized scheduling strategy comprises a day-ahead scheduling plan and a real-time resource regulation strategy. The two-stage collaborative optimization model of the application realizes dynamic collaboration of reliability design and economic operation, and improves the operation economy of the power distribution network under the premise of guaranteeing system safety and power supply reliability.

A reliability design optimization method suitable for separating impact components of a shedding connector belongs to the technical field of engineering optimization. In order to solve the problems that traditional reliability optimization design is highly dependent on physical test, and the test cycle is long and the cost is high, the present application proposes a spatial self-adaptive sampling strategy for Kriging surrogate model, which combines model prediction uncertainty and gradient information, dynamically identifies active constraints, thereby effectively reducing misclassification and redundant sampling; in view of the different response characteristics of the objective function and the constraint function, an anisotropic sampling space is constructed for each function, guiding the sample to focus on the area with higher optimization potential; based on the maximum chord deviation criterion, the sampling points are placed in the nonlinear significant area, so as to improve the accuracy of the local surrogate model and accelerate the convergence speed, thereby realizing reliability design optimization.

The invention belongs to the technical field of high-reliability design of a flight management system, and provides a deterministic transmission method for redundant equipment under a switched network architecture, and the method comprises the steps: carrying out the delay scheduling of to-be-transmitted data based on a pre-configured delay parameter in a transmitting end network end system of each redundant equipment; a double-buffer-area mechanism is adopted, the buffer areas are switched and locked after data writing is completed, and it is ensured that data to be sent are not updated in the time delay and sending process; and each device independently sends the locked data to the same target communication node after respective delay ends, so that multiple paths of data are received at the target node within a specified time range, and deterministic data transmission from a plurality of sending ends to a single receiving end is realized. According to the method, a customized delay and data protection mechanism is implemented at the sending end, so that the problem of data mismatch caused by asynchronous sending of redundant equipment in a switched network is effectively solved, and high-reliability and high-certainty communication guarantee is provided for a new-generation flight management system.

The application discloses a kind of quantitative evaluation methods of sealing performance of flared pipe connection pair considering temperature load action, and relates to the field of flared pipe joint structure optimization.Can give consideration to the sealing performance quantitative evaluation method of flared pipe connection pair of multiple physical field and multiple scales with the efficiency of calculation precision, to improve the scientificity and effectiveness of sealing reliability design and evaluation of flared pipe joint under the action of temperature load.S1, establish the finite element model of flared pipe connection pair;S2, simulate and analyze the temperature field distribution and mechanical properties of flared pipe connection pair under the action of temperature load;S3, establish the leakage rate calculation method of flared pipe connection pair.Provide a powerful quantitative tool for the rapid evaluation and design iteration needs in engineering, can improve the scientificity and effectiveness of sealing design reliability and prediction in key fields such as aviation hydraulic system and pipeline connection.

The embodiment of the application discloses a kind of based on FG-DBN's multi-electric aircraft airborne system reliability analysis method, it is related to reliability design field, can be in fuzzy uncertain condition, to the complex polymorphic system in multi-electric aircraft airborne equipment is carried out dynamic reliability analysis.This application includes: the DBN model of complex polymorphic system in airborne equipment is established, the node in DBN model corresponds the failure state of component in complex polymorphic system;Fuzzy gradient function model containing fuzzy support radius is established, fuzzy gradient function model includes: fuzzy membership model of node in corresponding time slice and state transition matrix corresponding to failure mode;The conditional probability table is established for the failure relationship between nodes in DBN model;The output result of fuzzy gradient function model containing fuzzy support radius and the conditional probability table established are used, the node of weak link in complex polymorphic system is identified and reliability is analyzed.

The disclosure provides a high-temperature fatigue life prediction method based on EIFS, and relates to the technical field of reliability design. The method comprises the following steps: acquiring first test data of crack propagation test and high-cycle fatigue test on a smooth member, and second test data of test on a notched member; determining equivalent initial defect sizes of the smooth member and the notched member according to the first test data and the second test data; obtaining an equivalent stress intensity factor difference and a fatigue crack propagation rate of the notched member under a high-temperature condition according to the second test data; fitting a function relationship among the fatigue crack propagation rate, the equivalent stress intensity factor difference and a crack size to obtain a crack propagation function; and determining a predicted fatigue life of the notched member under the high-temperature condition based on the crack propagation function, the equivalent initial defect size of the notched member and a limit crack size. The disclosure can realize accurate high-temperature fatigue life prediction.

This utility model belongs to the field of oil and gas pipeline cleaning technology, and discloses a sliding support structure suitable for launching and receiving tubes. The sliding support structure includes a support base and blocks. The support base has a loading position for supporting the saddle base plate. Four blocks are provided, each pressing against one of the four corners of the saddle base plate, with one end of each block fixedly connected to the support base. Ample space is provided between the blocks and the saddle base plate along both a first horizontal direction and a second horizontal direction, with the first horizontal direction perpendicular to the second horizontal direction. Through this design, the ample space effectively absorbs the displacement of the launching and receiving tube, effectively enhancing the overall stability and long-term operational safety and reliability of the tube. The design is simpler, the performance more reliable, and it solves the problems of stress concentration in the anchor bolts and excessive foundation bearing capacity caused by the lack of radial displacement allowance when using anchor bolts to fix the launching and receiving tubes.

The invention belongs to the technical field of complete machine design of wind turbine generators, and particularly relates to a complete machine design method of an offshore wind turbine generator, which comprises mechanical structure lightweight design, complete machine load reduction, vibration reduction and stability control and component reliability design, and is characterized in that the mechanical structure lightweight design is designed based on a multi-target multi-scale optimization model of a key structure; load reduction, vibration reduction and stability control of the whole machine are established based on an online state monitoring method, and finally reliability checking and design optimization are performed on the whole machine and components to complete the design of the whole machine, so that the problems of poor environmental adaptability and low economical efficiency and reliability of the existing offshore wind turbine generator are solved.