344 results about "Failure mechanism" patented technology

The invention relates to an oil bearing carrying capacity evaluation method based on virtual simulation, and the method comprises the steps: obtaining working condition data samples of an oil bearing in a plurality of typical operation states under a complex working condition of a composite load, and carrying out the marking of bearing structure partitions, so as to build a working condition partition mapping table; establishing a multi-physics field sensitive area identification model for each partition, and performing dynamic parameter adjustment on the global finite element model and the local high-precision infinitesimal sub-model by using a multi-physics field coupling calibration factor; and performing time sequence feature extraction on a multi-physical field joint simulation result after dynamic parameter adjustment to obtain a multi-dimensional parameter sequence related to the typical failure mechanism of the oil bearing.

The invention discloses an insulating material performance evaluation and formula optimization method and device and a medium, and the method comprises the steps: extracting multi-dimensional data features according to the multi-physical field data of an insulating material, carrying out the feature fusion, and obtaining multi-modal fusion features; constructing a material performance prediction model based on the multi-modal fusion features, and responding to real-time multi-physical field data to obtain a residual life prediction result of the insulating material; determining a key factor influencing the life based on the residual life prediction result, and mapping data characteristics of the key factor to an insulation material failure mechanism to determine a failure factor weight; based on the failure factor weight, establishing a formula optimization objective function by adopting a multi-objective reinforcement learning algorithm; solving the formula optimization objective function based on constraint conditions to obtain a material formula optimization result; the accuracy of the residual life prediction result of the insulating material is improved, and meanwhile, the reliability and pertinence of the formula optimization result of the insulating material are considered.

The invention provides a data correction method and system combined with lattice structure additive manufacturing process characteristics, and the method comprises the steps: firstly employing a Newton iteration method, taking the radius of a pillar as a variable, optimizing the relative density of an iteration target and generating a lattice structure geometric model under the condition that a process constraint condition is satisfied, and extracting actual geometric parameters after forming through CT scanning, the elastic modulus is corrected through the pillar diameter deviation and the defect volume fraction, a compression failure mechanism is combined, a density-related failure criterion is introduced, a nonlinear relation with the relative density is constructed through specific energy absorption data, material plasticity parameters are inversely optimized, and a defect coupling evaluation model is constructed according to the surface powder sticking rate and the pillar diameter deviation. And establishing a Gaussian mixture model based on a stress-strain curve to screen out abnormal data, and finally fusing the parameters to construct a data correction model. The dot matrix structure design precision can be improved, and then a high-quality data basis is provided for performance prediction-structure design two-way feedback.

The invention relates to the technical field of direct-current power supply fault diagnosis, in particular to a fault self-diagnosis modular direct-current power supply system, which is characterized in that a failure mechanism dynamic modeling unit constructs a multi-stress coupling degradation mapping library, adopts a degradation mechanism decoupling algorithm to separate and superpose failure effects and generates a dynamic degradation model; the early degradation capture unit deploys a high-frequency wide-domain sampling circuit and a noise suppression signal chain, combines time-frequency domain joint feature extraction and separates degradation feature signals from background noise, and the self-adaptive life prediction unit adopts a long short-term memory network and random forest fusion algorithm to dynamically correct parameters and output residual life probability distribution. The intelligent fault judgment unit realizes progressive diagnosis through a hierarchical threshold decision mechanism, and the health management cooperative execution unit triggers a pre-maintenance strategy, executes power flexible derating, redundancy switching or directional fusing isolation, and improves the reliability of the system.

The invention discloses a method for testing weather resistance of a material based on a low-temperature ice and snow environment, which belongs to the technical field of material testing, and comprises the following steps: generating a dynamic environment parameter set according to an environment simulation script, applying dynamically changing ice and snow loads and multiple physical and chemical environment stresses in a preset composite environment stress cabin, constructing a coupling environment field acting on the to-be-tested sample; and acquiring the state of the to-be-tested sample in the coupling environment field in real time, generating a multi-dimensional monitoring data set, performing comparative analysis on the multi-dimensional monitoring data set and a preset material aging characteristic template, generating material response data representing the current state of the to-be-tested sample, and constructing an environment parameter adjustment instruction set to regulate and control the coupling environment field in the composite environment stress cabin in real time. According to the method, a closed-loop feedback control strategy combining construction of a dynamic coupling environment field and real-time monitoring of material response is adopted, intelligent acceleration of the testing process can be achieved on the premise that the authenticity of a failure mechanism is guaranteed, and the testing efficiency and the accuracy of a result are remarkably improved.

The invention provides an electric power micro sensor life prediction model construction method and system, and the method comprises the steps: determining a plurality of acceleration test stages and acceleration factor combinations corresponding to the acceleration test stages based on the obtained historical degradation state information of a sensor; and carrying out an acceleration test on the sensor based on the acceleration factor combination corresponding to the plurality of acceleration test stages to obtain an acceleration test data set, and training the life prediction model by taking the acceleration test data set as an input and taking the residual life of the sensor as an output to obtain a trained life prediction model. The complex working condition of the electric power microsensor in the actual working environment is simulated more truly in a multi-stage multi-acceleration-factor combination mode, interference and mutual influence between different failure mechanisms are avoided, and the accuracy and comprehensiveness of life evaluation are improved.

The invention discloses a fault-considered spacecraft integrated chip interface circuit potential path analysis method, a storage medium and equipment, and belongs to the technical field of integrated circuit design and fault analysis. The method aims at solving the problem that an analysis method for a path under a failure mechanism under different environmental stresses is lacked. The method comprises the following steps: constructing an interface circuit simulation model of an integrated device based on a common interface circuit and a potential path structure in a spacecraft electronic system, then supplementing degradation mechanisms in various task stress environments, and determining a fault mode table of the interface circuit of the integrated device; a circuit simulation method is adopted to carry out potential path analysis considering fault factors on an interface circuit under a typical task profile, a fault path response feature library of the interface circuit under the task profile is obtained, then a constraint clue table for interface circuit design is formed, an interface circuit failure associated fault tree model is constructed, and the interface circuit failure associated fault tree model is constructed. And calibrating a relation path between various potential paths and device degradation or local failure for failure positioning and path checking.

The invention discloses a deep sea environment biaxial loading in-situ test system and method for industrial CT, the test system comprises a biaxial test bench, a deep sea environment box, a rotary table, a simulation seawater loop and an X-ray imaging unit, the deep sea environment box is arranged at the central position of the biaxial test bench, the biaxial test bench is arranged on the rotary table, the rotary table is arranged on the rotary table, and the X-ray imaging unit is arranged on the rotary table. And the X-ray imaging unit directly faces the biaxial test bench. In order to solve the problems that no effective means for simulating the complex stress and corrosion coupling environment of the deep sea environment exists at present, and key data such as chemical products in the corrosion process of marine materials under the complex stress cannot be obtained in situ, the invention provides a coupling biaxial in-situ loading device and a seawater corrosion environment simulation box. Simulation of a deep-sea complex stress state and a seawater corrosion environment is realized, a chemical product evolution rule in a stress corrosion process is obtained in situ based on a spectrum measuring instrument, and a technical foundation is laid for clarification of a corrosion failure mechanism of a material under a real deep-sea service condition.

The invention relates to the technical field of knowledge maps, in particular to a steel manufacturing knowledge map construction method based on multi-source heterogeneous data, which comprises the following steps: converting message data into a standardized semantic triple through a semantic mapping rule, and complementing missing attributes by using physical and chemical component balance logic to form a standardized entity; meanwhile, a semantic processor is used for extracting unstructured report text logic, cross-modal coupling is carried out on the unstructured report text logic and SEM image features, and a failure mechanism enhanced entity is generated. Then, full-process dynamic parameters are collected and regularized into equal-interval time sequence parameters; and finally, taking the normalized entity as an index feature and the mechanism enhanced entity as an association constraint, executing semantic fusion by utilizing a topological feature mapping engine, and constructing a dynamic weight graph structure by combining with a dynamic probability distribution correction operator iteration parameter weight. According to the method, efficient association and semantic organization of manufacturing whole-process multi-modal data are realized, and the retrieval precision and knowledge discovery capability of steel manufacturing data are greatly improved.

The invention belongs to the technical field of wind driven generator main bearing test equipment, and discloses a five-degree-of-freedom wind driven generator main bearing test bench for simulating real working conditions, which comprises a loading system, a test system and a driving system. The loading system adopts a sliding bearing loading disc to simulate a hub of the wind driven generator, and adopts a hydraulic cylinder array to simulate five-degree-of-freedom hub loads of three-direction forces including axial force, radial force and vertical force and two-direction moments including pitching moment and yawing moment. The test system adopts a two-point supported tapered roller bearing main shaft system to simulate the main shaft configuration of the wind driven generator, and can be independently disassembled to replace the model of a test bearing. The driving system adopts a variable-frequency and variable-speed motor, the rotating speed range is 0-200 rpm, and the requirements of various working conditions such as frequent start and stop, performance tests and strengthening tests can be met. According to the invention, through multi-dimensional load loading and multi-working-condition simulation, a key platform is provided for reliability test and failure mechanism research of the wind power main bearing.

The invention relates to the technical field of aluminum alloy drill rods, in particular to an aluminum alloy drill rod body thread high-temperature fatigue life prediction method, which comprises the following steps: establishing a drill string dynamic model to obtain load spectrum initial data; establishing an aluminum alloy drill rod body thread thermal-mechanical coupling finite element model to obtain initial stress-strain distribution; performing a high-temperature fatigue test to obtain fatigue life data of the aluminum alloy material at different temperatures; establishing a high-temperature fatigue damage model; and constructing a high-temperature fatigue life prediction model based on the load spectrum initial data, the initial stress-strain distribution, the fatigue life data and the high-temperature fatigue damage model. Therefore, the problems that the fatigue failure mechanism of the aluminum alloy drill rod body thread in the high-temperature environment is not explored, the coupling effect of creep damage and fatigue damage is not fully considered, the influence rule of vibration load characteristics on the fatigue life and the failure mode is not clear, and engineering practice cannot be accurately guided are solved.

The invention relates to the technical field of anchor chain tension detection, and discloses an anchor chain fixed section tension detection device and a detection method thereof.The anchor chain fixed section tension detection device comprises a tension detection mechanism, the top end of the tension detection mechanism is connected with a tension control mechanism, and one end of the top of the tension control mechanism is connected with an anchor chain fixed section control mechanism; through the arrangement of the tension detection mechanism, the to-be-detected anchor chain is detected under different conditions of an air reference state, a seawater corrosion state and a blending load state, so that the overall breaking strength index of the anchor chain can be obtained, and the tensile strength of the anchor chain can be detected by controlling the tension change, the wave load and the seawater corrosion effect of the anchor chain. Different service conditions of the anchor chain in an air reference state, a seawater corrosion state and a blending load state are simulated; by comparing and analyzing the mechanical properties of the anchor chain in different states, the weak link of the anchor chain can be accurately positioned, the failure mechanism of the anchor chain can be revealed, and an important reference is provided for maintenance and replacement of the anchor chain.

The invention relates to the technical field of aero-engines, and discloses a wheel disc fatigue acceleration test stress coefficient determination method and system, and an application of the wheel disc fatigue acceleration test stress coefficient determination method and system. Analyzing by combining a performance curve of a wheel disc material to obtain a first upper limit threshold value of a wheel disc fatigue acceleration test stress coefficient; then carrying out a characteristic simulation piece fatigue test on the key part of the wheel disc to obtain a second upper limit threshold value of the stress coefficient of the wheel disc fatigue acceleration test, and reasonably determining the maximum value of the stress coefficient of the wheel disc fatigue acceleration test by comparing the first upper limit threshold value with the second upper limit threshold value; the service life damage equivalence and the same failure mechanism before and after the fatigue acceleration test of the wheel disc are ensured, the situation of wheel disc service life verification deviation danger caused by non-equivalent damage due to unreasonable stress coefficient in the existing method is avoided, the safety and the reliability of the wheel disc in the service life are improved, and the service life of the wheel disc is prolonged. The fatigue life of the wheel disc can be effectively verified.

The invention discloses an electrical equipment operation reliability analysis method based on RCM, and belongs to the technical field of electrical equipment operation and maintaining.The method comprises the steps that electrical equipment is decomposed into main function nodes and auxiliary function nodes through a function tree analysis method, a function performance standard library is constructed, and quantitative indexes of all the nodes and an incidence relation graph of the quantitative indexes are stored; constructing a failure mode library based on the function performance standard library, fusing a physical failure mechanism with historical fault data to generate a failure mode-function node mapping table, calculating a system-level function failure probability by adopting a Monte Carlo simulation method, and outputting a risk level matrix; using the risk level matrix to match the risk level to the node logic of the RCM decision tree, and generating a hybrid strategy set; and according to an execution result of the mixed strategy set, calculating a comprehensive health degree through an equipment health index model, and iteratively updating a failure mode library and a decision tree threshold parameter in combination with a reinforcement learning algorithm.

The invention provides a method for analyzing the composite bearing capacity of an ocean engineering shallow foundation, which comprises the following steps of: describing the soil property by combining a corresponding constitutive model through a finite element analysis method, establishing a shallow foundation-multilayer foundation soil interaction model, systematically exploring a shallow foundation damage mechanism under the action of each combined load through multiple groups of probe tests, and analyzing the composite bearing capacity of the ocean engineering shallow foundation. According to the method, the coupling effect between the load components is researched, normalized damage envelope surfaces in different load planes are obtained and fitted into algebraic expressions for checking the bearing capacity of the shallow foundation, and the bearing capacity calculation efficiency can be greatly improved. According to the method, for shallow foundations of different sizes and different load combinations, repeated modeling analysis is not needed, the corresponding ultimate bearing capacity can be directly obtained by writing the envelope line equation into an automatic calculation program and inputting design conditions, the design efficiency is remarkably improved, and the shallow foundations can be popularized and applied in offshore engineering projects.

The invention relates to an intelligent temperature control rock heat-water-force-sound-light multi-field coupling disturbance shearing device and a use method of the intelligent temperature control rock heat-water-force-sound-light multi-field coupling disturbance shearing device. A disturbance shearing mechanism composed of a trapezoid pressing rod, a constant damper and a spring is additionally arranged on the driving side of the lower shearing box. When the tangential loading shaft is propelled at a constant speed, the mechanism can convert stable linear displacement into disturbance shear load of periodic loading and unloading, so that engineering power disturbance is simulated. According to the device and the method, periodic shear disturbance is synchronously applied to a rock sample in a high-temperature seepage environment, mechanical response, seepage characteristic change, internal micro-fracture and surface full-field deformation of the rock sample are comprehensively observed, and an advanced test means is provided for researching a catastrophe mechanism of a deep rock mass under the action of multi-field coupling and dynamic disturbance.

The invention provides a gate-source short-circuit SiC MOS device failure analysis method and related equipment, and the method comprises the steps: responding to the determination that the functional characteristics of a source and a drain have no abnormal conditions, carrying out the analysis of the cause of a short-circuit fault of a gate and the source based on the characteristics of a silicon carbide material and an MOS device failure mechanism, and carrying out the analysis of the short-circuit fault of the gate and the source. Comprising the following steps: judging whether gate source chemical lap joint caused by internal water vapor exists or not through a dry chip; unsealing the chip to expose the interior of the chip, testing the chip, and judging whether a metallization layer migration short circuit caused by high temperature occurs or not; analyzing whether breakdown caused by high electric field stress exists in the gate oxide layer; according to the failure analysis method provided by the invention, the reason of the failure of the SiC MOS device can be accurately analyzed, and the problem that the microdefect of the SiC MOS device cannot be positioned by a traditional means is solved.

The invention belongs to the technical field of aircrafts, and discloses a trigger-containing aircraft composite material energy absorption structure analysis method, which comprises the following steps: establishing an external trigger composite material structure model according to actual working conditions; constructing an intra-layer and inter-layer damage coupled progressive damage model; configuring finite element model parameters adaptive to the composite material; integrating simulation results; the crashworthiness of the coupling trigger structure is adjusted and optimized in combination with basic parameters; repeating the steps to verify the optimization effect; and predicting the strength of the composite material by coupling stress strain and damage transfer, revealing a damage failure mechanism and determining an optimal design. The method has the beneficial effects that the failure mode and the load response of the aircraft structure under different impact loads can be accurately captured, and low initial peak load and high specific energy absorption requirements are considered through multi-type triggering collaborative design; reliable technical support is provided for crashworthiness design of composite aircraft structures of aircraft fuselage frames, wing supports and other key structures in the aerospace field.

The invention provides a performance evaluation method and system for an electric connector insulator, and relates to the technical field of electric connectors, and the method comprises the steps: carrying out the electrothermal coupling simulation of the electric connector insulator, and determining a temperature distribution field of the electric connector insulator; according to the temperature distribution field, failure mechanism analysis is carried out on the electric connector insulator, and a carrier concentration change model of the electric connector insulator is constructed; constructing an insulation resistance degradation model based on the carrier concentration change model; obtaining measurement data of the electric connector insulator through an acceleration test; fitting parameters of the insulation resistance degradation model through a least square algorithm and a maximum likelihood estimation algorithm according to the measurement data; according to a parameter fitting result, constructing a reliability statistical function based on a weakest ring model; and according to the reliability statistical function, performing performance evaluation on the electric connector insulator. According to the method, the failure probability and the service life of the electric connector connecting piece under different working conditions can be accurately predicted.

The invention provides an improved Arcan disc complex stress metal fatigue test method. The method specifically comprises the following steps: (1) designing clamps for stretching, stretching-shearing and pure shearing fatigue tests; (2) designing a clamp for compression, compression-shear and pure shear fatigue tests; (3) designing a stretching-shearing or compression-shearing sample, and connecting the clamps designed in the step (1) and the step (2) to a clamping rod and a pin required by a fatigue testing machine; and (4) assembling the clamps designed in the step (1) and the step (2) and the sample designed in the step (3), and connecting to a fatigue testing machine by using a clamping rod and a pin. The metal fatigue performance test under different stress states such as stretching / compression, stretching-shearing / compression-shearing, pure shearing and the like can be realized, the fatigue test result difference caused by different stress states can be quantified, optical and high-resolution scanning electron microscope observation under in-situ conditions can be compatible, and the fatigue failure mechanism analysis is facilitated.

The invention discloses a bending fatigue test method for interface failure of a bonding layer. The method comprises the following steps: preparing a sample; under the preset temperature condition, periodically changing external force is applied to the sample according to the preset external force condition, so that bending deformation testing is conducted on the sample; the final surface appearance of the sample at the bonding boundary is observed, and crack parameters of cracks on the bonding boundary are recorded; according to the crack parameters of the cracks on the bonding boundary line, the interface failure risk grade of the sample is judged. The thermal load and the force load are applied to the sample at the same time, so that the test environment is closer to the actual working environment of the chip, and the accuracy of failure risk judgment is improved. On the basis of thermal load, periodically changing external force is applied to the sample, so that the sample is deformed and bent, and through the double-field coupling rapid failure mechanism, the test period of the sample can be effectively shortened, and the test efficiency is improved.

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 belongs to the technical field of power semiconductor devices. The invention provides a SiC MOSFET surge current transient electrothermal coupling failure modeling method. A real packaging three-dimensional structure model is established, and material parameters are defined; dividing grids, constructing a current and solid heat transfer module, applying surge waveform data and realizing real-time coupling; carrying out transient solution to obtain temperature data, extracting a hot spot area and comparing thermodynamic critical parameters of the material; and establishing a multi-class failure mechanism model, and outputting a failure prediction result and reliability evaluation. The method is high in structural reduction degree, transient temperature rise and hot spot distribution can be accurately simulated, the problems that modeling is not accurate, transient electrothermal coupling analysis is lacked and a real failure mode cannot be reflected in the prior art are solved, the failure position, mode and threshold value can be accurately predicted, the method is suitable for reliability evaluation under the multi-surge condition, and the method is suitable for popularization and application. And the method has engineering application value and research significance.

The invention belongs to the technical field of geotechnical engineering and rock mechanics testing, discloses a stress-strain mixed control-based rock stable failure testing method, and aims to solve the problem that a stress path cannot be maintained and brittle failure cannot be inhibited simultaneously after rock peak strength is detected in an existing true triaxial test. The method comprises the following core steps: firstly, determining a target stress state and a strain growth rate threshold value; then hydrostatic pressure loading is carried out; loading and unloading at a fixed proportional rate in a stress control mode; and when the strain rate reaches a threshold value, switching to a stress-strain hybrid control mode, converting the maximum principal stress direction into strain control to stabilize the damage process, and dynamically coordinating stresses in the other two directions based on real-time feedback to enable the whole damage process to maintain a preset stress path all the time. According to the invention, the complete and stable test of the pre-peak-post-peak mechanical behavior of the rock under any complex stress state can be realized, and a key technical support is provided for accurately verifying the strength criterion and researching the failure mechanism.

The invention provides a method for analyzing a main failure mechanism of a battery with an electrolyte leakage fault. The method comprises the following steps of: performing calendar aging, cyclic aging and reference performance test on a normal battery and a leakage battery; comparing the external characteristics of the normal battery and the leakage battery, and obtaining the difference between the leakage battery and the normal battery in the aspect of external characteristic performance; carrying out deep analysis on the dynamic degradation mechanism of the liquid leakage battery by utilizing an in-situ analysis means; obtaining a normal battery pole piece and a fault battery pole piece, and characterizing the battery pole pieces by using an electrochemical characterization means; battery regeneration is realized by using a battery pole piece, re-supplementing electrolyte and manufacturing a button battery; performance testing and aging testing are performed on the regenerated battery; the performance of the regenerated battery is evaluated; and a failure mechanism of the battery with liquid leakage is disclosed. And comparing the performance difference between the regenerative battery and the normal battery, and determining the irreversible influence of the fault on the battery. According to the invention, the main way of failure of the battery with liquid leakage and the irreversible influence of the liquid leakage fault on the battery can be revealed.

The invention relates to the technical field of hydroelectric power generation equipment state monitoring, in particular to a hydropower station equipment operation and maintenance risk assessment method and system based on big data analysis, and the method comprises the steps: 1, carrying out the fusion collection of specific data of a hydropower station; step 2, hydraulic-mechanical coupling feature extraction; step 3, dynamically constructing a fault propagation network; and 4, generating a dynamic risk field and outputting a decision: injecting the coupling factor and the wet pollution index into equipment network nodes, generating risk density distribution through three-dimensional space interpolation, dynamically adjusting a risk threshold in combination with a real-time working condition, and outputting a priority maintenance node and a maximum maintenance time window under a constraint condition. Through deep analysis of a hydraulic-mechanical coupling failure mechanism, an equipment cluster risk conduction path is quantified, and dynamic risk assessment is realized in combination with a big data analysis technology, so that the accuracy, real-time performance and efficiency of hydropower station equipment operation and maintenance are remarkably improved.

The invention discloses a super-hydrophobic anti-icing coating for a power transmission tower steel structure and a coating test method, and belongs to the technical field of material engineering and surface protection. Comprising the steps of super-hydrophobic coating formula optimization, geometric self-adaptive spraying and curing, extreme environment simulation testing, multi-source data acquisition, failure mechanism analysis and prediction, performance optimization and prediction and the like, the thickness of the prepared coating is 0.15 + / -0.008 mm, the coating covers a Q235 steel base material with the surface roughness of 2.0 + / -0.15 microns, and the coating has the good corrosion resistance under the environment of-40 DEG C to 60 DEG C, the wind speed of 15 m / s and the humidity of 85% RH. The icing amount is less than or equal to 30g / m < 2 >, and the deicing efficiency is greater than or equal to 92 The technical problems that in the prior art, a coating is insufficient in hydrophobic performance and durability, a coating process is poor in adaptability on a complex geometric structure, test environment simulation is not real, and a systematic optimization and prediction model is lacked are solved.

The invention discloses a real-time mapping and evaluation method for the reliability of complex equipment, which is based on physical information neural networks (PINNs) and a model system engineering (MBSE) model, and is characterized in that the method comprises the following steps of: (1) carrying out real-time mapping and evaluation on the reliability of the complex equipment, and (2) carrying out real-time mapping and evaluation on the reliability of the complex equipment based on the MBSE model, and (3) carrying out real-time mapping and evaluation on the reliability of the complex equipment based on the MBSE model, and (4) carrying out real-time mapping and evaluation on the reliability of the complex equipment. The method comprises the following steps: firstly, constructing a system architecture model of equipment by utilizing MBSE, and defining reliability constraint parameters; a partial differential equation describing a component failure mechanism is extracted, a neural network agent model integrating physical information constraints is constructed, and a loss function of the neural network agent model is formed by weighting a data driving item and a physical residual item. Mapping real-time working condition parameters into PINNs input by establishing a data interface of a system architecture model and a PINNs agent model, and outputting a physical performance degradation state; and finally, calculating real-time reliability based on the probability statistical model, and dynamically feeding back the real-time reliability to the system architecture model to update a demand verification state and generate a control instruction. According to the method, the physical partial differential equation is introduced as the regularization constraint of the neural network, so that the problem of poor generalization ability of a pure data driving model under a small sample working condition is solved, and online evaluation and closed-loop control in an equipment operation stage are realized.

The invention relates to the technical field of rock mechanics and underground engineering, in particular to an anchored jointed rock mass multi-field coupling creep characteristic analysis method which comprises the following steps: preparing anchored rock mass samples which are corroded by inorganic salt and contain different joint occurrences, and installing different pre-stressed anchor rods. And carrying out a graded loading creep compression experiment, and synchronously collecting axial deformation and acoustic emission signals. And drawing a creep time-history curve based on deformation data, and determining long-term strength and a creep stage by adopting a steady-state creep rate method. And calibrating the crack initiation and expansion process of the crack at each stage of creep deformation by using an acoustic emission signal. And analyzing response differences between crack development and anchoring failure under different inorganic salt components, concentrations, joint occurrence and prestressing forces, and determining the influence degree of each factor on the anchor rod support effect in each creep deformation stage. According to the method, synchronous quantitative analysis of macroscopic creep characteristics and microscopic damage evolution is realized by coupling chemical corrosion and prestress action, and the accuracy of long-term strength prediction and anchoring failure mechanism understanding is improved.

The application discloses a network-constructing type energy storage multi-scenario operation boundary quantification method and system considering coupling constraints, comprising: acquiring multi-source parameters and constructing a characteristic vector; the characteristic vector comprises a first characteristic vector: a network-constructing working condition vector and a second characteristic vector: a battery state response vector; based on the failure mechanism of each dimension of electricity, heat and life, a multi-dimensional dynamic safety threshold vector is determined; and a joint safety margin function is constructed according to the multi-dimensional dynamic safety threshold vector, the first characteristic vector and the second characteristic vector; combined with the joint safety margin function, a boundary quantification algorithm based on adaptive sparse grid and GPR dynamic reconstruction is used to solve a failure boundary point set; a failure boundary is constructed according to the failure boundary point set; and according to the failure boundary, a double-track quantification evaluation and a state label output mechanism are used for boundary triggering output or safe operation output. The application significantly improves the real-time performance, fineness and engineering landing ability of the safety operation boundary quantification evaluation under the network-constructing energy storage full working condition atlas.