105 results about "Coupling effect" patented technology

The invention discloses a U-shaped aqueduct prestress multi-beam cooperative tensioning control method and system. The method comprises the steps that S1, a quantitative derivation model is constructed, based on an aqueduct structural mechanical equilibrium equation, a prestress coupling effect item is introduced for calculation, a prestress coupling matrix is output, and an initial tensioning sequence is derived; the device is simple in structure, and an initial tensioning sequence is deduced by establishing a mechanical equilibrium equation and introducing a coupling effect item; meanwhile, stress / displacement deviation data collected by a monitoring system in real time are fed back to an edge calculation terminal to calculate a control strategy in real time, adjustment is executed by a tensioning device, and therefore a field data closed-loop optimization mechanism is constructed, the tensioning force and sequence can be dynamically corrected, the limitation of a static model is broken through, and the construction efficiency is improved. And a displacement constraint term is introduced as a punishment or control condition in the optimization process, so that deformation overrun of key parts of the structure is effectively prevented, and the precision, safety and intelligent level of prestress construction are remarkably improved.

The invention provides a dangerous rock degradation and collapse simulation test system and method under a multi-field coupling effect, and the system comprises a flexible stress loading device which provides a vertical stress for a dangerous rock mass sample to enable the sample to have the same stress level as a natural state; a dangerous rock mass sample is used for simulating various collapse modes by controlling the angle of a soft belt and a hollowed-out area; the corrosion device is used for providing a dry-wet cycle and osmotic pressure environment for the dangerous rock mass sample; the data acquisition device is used for recording surface displacement, acoustic characteristics and external factors of the rock mass along the soft zone; the damage degree calculation device is used for calculating the damage degree of the dangerous rock mass under multi-field coupling; the safety coefficient calculation device is used for obtaining the safety coefficient of the dangerous rock mass under multi-field coupling; and the safety evaluation device is used for constructing an evaluation model and evaluating the safety state of the dangerous rock mass. According to the method, collapse simulation caused by degradation of the soft belt under the multi-field coupling effect is achieved, and the problems of early-stage safety evaluation and graded early warning of dangerous rock instability based on multi-index fusion are solved.

The invention provides a temperature control method and device of ALD equipment and electronic equipment, relates to the technical field of general control or regulation systems, and aims at controlling the power of a heating device in the ALD equipment at the next moment so as to control the temperature in a reaction chamber of the ALD equipment. Dynamically estimating a control parameter generated by a control output signal through a recursive least square algorithm according to a temperature measured value at the current moment, the control output signal at the previous moment, a parameter error estimation covariance and a corresponding forgetting factor; furthermore, decoupling processing is carried out on the coupling effect between the heating devices based on a decoupling algorithm, so that mutual influence between the temperature zones is brought into the control process in the temperature control process of the ALD equipment, decoupling compensation is realized from the aspect of algorithm, the purpose of optimizing the temperature control effect is achieved, the time for waiting for temperature stability is shortened, and the temperature control efficiency is improved. And the temperature control efficiency is improved.

The invention discloses a chip parameter verification method and device, equipment and a storage medium. The chip parameter verification method comprises the steps of sampling a to-be-tested parameter space of a chip to obtain a parameter point file; performing a regression test on the parameter point file to obtain verification test results, and associating each verification test result with the corresponding parameter point to obtain a data pair set; performing parameter point iteration prediction on the set through a model according to the data; and when it is determined that the predicted parameter points meet the optimization target, taking the predicted parameter points as to-be-applied target parameter points of the chip. The parameter point file is obtained by sampling from the to-be-tested parameter space, and the sampling result is used for the regression verification test, so that the number of tasks needing to be executed is reduced, the overall verification investment is reduced, fitting and prediction are carried out through the model according to the verification test result, the coupling effect and hidden defects among parameters are conveniently found, and the verification efficiency is improved. And the accuracy of the determined target parameter is improved.

An intelligent compensation method for coupling errors of a dynamic gravimeter comprises the following steps: selecting typical environment interference influencing the dynamic gravimeter in a complex measurement environment, and analyzing an influence mechanism of each typical environment interference on the measurement accuracy of the dynamic gravimeter; according to the influence mechanism under each typical environment interference, analyzing a coupling error influence mechanism between the typical environment interferences; based on the coupling error influence mechanism, constructing a coupling error comprehensive compensation model; adding the coupling effect loss into a data-driven loss function, and defining a model coefficient constrained by physical information; and performing model training by using the training data, and calculating the total loss of the verification set on the obtained model to obtain a final coupling error comprehensive compensation model. According to the invention, the coupling error of the dynamic gravimeter in a complex environment is compensated based on coupling error mechanism analysis and a physical constraint long-short-term memory model, and the measurement precision and environmental adaptability of the dynamic gravimeter under complex multi-factor interference conditions are improved.

The application discloses a kind of asymmetric configuration satellite attitude maneuvering process coupling compensation method, comprising: establishing the satellite attitude dynamics model including the non-diagonal item of moment of inertia matrix;Read current attitude sensor data, and calculate deviation quaternion and deviation angular velocity;According to the attitude dynamics model and current angular velocity data, calculate coupling compensation feedforward control torque;Based on the coupling compensation feedforward control torque, deviation quaternion and deviation angular velocity, the control torque after compensation is calculated;The control torque after compensation is limited and priority torque distribution, and the final control torque is obtained;Final control torque is sent to actuator drive satellite and carries out attitude maneuvering.Solve the problem that coupling effect caused by inertia product cannot be effectively compensated when asymmetric configuration satellite is in large-angle attitude maneuvering in prior art, and then affect control precision and stability.

The invention relates to the technical field of mechanical transmission and mechatronics, in particular to an integrated linear servo joint thermal magnetic multi-physics coupling design method based on Ansys Workbench, which comprises the following steps: establishing a three-dimensional model of a reverse planetary roller screw; constructing an electromagnetic model of the motor, and performing electromagnetic simulation; internal heat and convective heat transfer coefficients corresponding to the motor are obtained; the heat flow, the heat flux and the convective heat transfer coefficient corresponding to the reverse planetary roller screw are obtained; and constructing a thermal magnetic coupling model, and performing simulation solution. According to the method, the heat, force and magnetic multi-physical field coupling effect is comprehensively considered in the integrated linear servo joint, and the problem that the overall performance of the whole joint is reduced due to the fact that the temperature is too high due to improper design is effectively solved.

The invention discloses a method for predicting an impact displacement time history curve of a concrete filled steel tubular column under the influence of defect coupling, comprising the following steps: S1, acquiring a data set: acquiring test data and verified finite element numerical simulation data, the data set sample comprising structural characteristic parameters of a component and a corresponding displacement time history curve under transverse impact, s2, data preprocessing: extracting geometric, material, defect and impact working condition parameters of the component to form an input feature vector, standardizing input features, performing time alignment and resampling on a displacement time history, and constructing a time sequence input tensor of a unified dimension; s3, a CNN-LSTM-Attention model is established, and the CNN-LSTM- S4, training and optimizing the model by using sample data, and taking a mean square error as a loss function; s5, target component parameters are input, and an impact displacement time history prediction result is output. According to the method, the impact displacement time history of the concrete filled steel tubular column containing multiple defects can be accurately and efficiently predicted, and the impact resistance evaluation efficiency of the structure is improved.

The invention relates to the technical field of wind power blade fatigue tests, and discloses a blade dynamic loading method based on double-shaft coupling resonance, which comprises the steps of forced loading in the shimmy direction, pulse type follow-up loading in the flapping direction and phase synchronization, and is characterized in that the loading frequency in the shimmy direction is set to be always close to the current resonant frequency in the flapping direction; the amplitude of the exciting force in the shimmy direction is dynamically adjusted according to the vibration response in the flapping direction, in the thrust loading stage, when the displacement in the flapping direction reaches a peak value, a thrust pulse is applied to the flapping direction, the magnitude of the thrust pulse is decreased progressively along with attenuation of the vibration amplitude, energy needed by active excitation is reduced through the modal coupling effect, and the active excitation effect is improved. Pulse thrust is only applied in a displacement peak value interval in the flapping direction, free attenuation is achieved in other time, invalid energy consumption is avoided, the amplitude is adjusted in a self-adaptive mode, so that shimmy excitation force is dynamically optimized along with flapping vibration response, overload or insufficient excitation is avoided, and rigidity degradation in the blade testing process is adapted.

The application discloses a kind of cylinder spinning machine detection control method and system, belong to spinning machine technical field, solve when high-precision thin-walled part batch production is carried out after spinning machine long time work, the dynamic gap change caused by the static compensation algorithm of numerical control system because unable to match guide rail wear, and the illusion of no-load detection qualified covers the commutation point trajectory step and force-position coupling effect caused by insufficient compensation under heavy load, finally lead to the problem of part because micron level profile distortion and scrap.By real-time acquisition of feed shaft operation data and observation external load force, residual gap error is captured when detecting commutation event, wear-load model parameters are identified online using the error, and compensation value is dynamically calculated based on the identification results and current load to correct the position command at commutation.Finally, the compensation effect is evaluated and new data is fed back to the model to realize adaptive closed-loop control.

The utility model discloses a detection device for detecting internal crack defects of a roller by using an ultrasonic angle probe, which comprises a flaw detector rack and a fixed seat, a strip-shaped plate is arranged on the left side of the fixed seat, a connecting plate is movably arranged on the strip-shaped plate through a locking mechanism, and the bottom of the connecting plate is connected with a mounting shell through an adjusting mechanism; the adjusting mechanism comprises a first stepping motor, a first rotating lead screw, a first sliding nut, a fixed arm, a swing arm, a second stepping motor, a second rotating lead screw, a second sliding nut, a coupling agent spray head and a probe clamping sleeve. The device has the beneficial effects that the flaw detector is placed on the flaw detector rack, the probe clamping sleeve is used for clamping the ultrasonic angle probe, and according to the flaw detector connected with the ultrasonic angle probe in a matched manner, the internal crack defect of a roller body is continuously detected while the roller is ground by the grinding machine; according to the invention, missing detection and safety risks in manual detection can be reduced, and sufficient coupling agent is supplied in the detection process, so that the coupling effect is ensured, and the detection reliability is improved.

This utility model discloses a small-diameter pipe phased array circumferential scanning fixture in the field of pipeline flaw detection technology. It includes a base with symmetrically arranged support frames on both sides. A sleeve is rotatably inserted into each support frame, and a clamping mechanism is provided on the sleeve. A phased array probe mechanism is located between the two sets of support frames. The moving drive mechanism includes a mounting ring, several sets of hollow seats on the outer wall of the mounting ring, and a threaded sleeve that rotatably passes through the hollow seats and the mounting ring. A threaded rod is threaded into one end of the threaded sleeve facing the center of the mounting ring. One end of the threaded rod is connected to a mounting plate, and the mounting plate is connected to an ultrasonic probe. This utility model allows the threaded sleeve on the rotatable mounting ring to drive the threaded rod, thereby moving the ultrasonic probe radially to adjust the distance between the probe and the pipe wall. This effectively solves the problem of unstable coupling effect of traditional fixed-spacing probes when detecting different pipe diameters, improving detection accuracy and expanding the range of pipe diameters that can be detected.

A dynamic compensation method for a mechanism model of a water turbine governor based on deep residual learning comprises the steps that firstly, multi-dimensional real-time data in the operation process of the water turbine governor is collected, and a mechanism model covering the electrical-mechanical-hydraulic multi-physics field coupling effect is constructed; comparing the guide vane opening degree predicted by the mechanism model with the actually measured guide vane opening degree to obtain a residual error as a training sample; a dual-channel deep residual learning model including a TCN module, a 1D-CNN module, a channel attention module and a bidirectional LSTM module is constructed, and a composite loss function fusing data fitting loss and physical constraint loss is adopted for training; and superposing the output of the residual error model to the output of the mechanism model to realize high-precision dynamic compensation. And a performance monitoring mechanism is set, and when the mean absolute error MAE of the opening degree of the guide vane exceeds 0.2% and is continuously overtime, the model is automatically triggered to be retrained. According to the method, the precision, robustness and adaptive capacity of the speed regulator simulation model are effectively improved, and the method is suitable for a hydraulic turbine speed regulator digital twin system.

The invention discloses a cable multi-stress coupling effect evaluation test system for a spacecraft moving part. The system comprises a vacuum module, a temperature control module, a high-energy electron irradiation module, a reciprocating bending motion module and a comprehensive measurement and control module, the vacuum module is used for providing a vacuum environment with a preset vacuum degree for the test cable; the temperature control module is used for adjusting the system internal temperature; the high-energy electron irradiation module is used for applying high-energy electron irradiation with a preset irradiation dose to the test cable; the reciprocating bending motion module is used for driving the test cable to perform reciprocating bending motion at a preset rotation angular speed and a maximum bending angle; the comprehensive measurement and control module is electrically connected with other modules and used for setting specific parameters and monitoring performance data of the test cable in real time. The evaluation test system can simulate the cooperative coupling effect of multiple environmental stresses and mechanical stresses on the test cable so as to obtain the performance parameters of the test cable under the dynamic working condition.

This invention provides a method for monitoring the condition of transmission lines. The method decouples and quantifies multi-segment conduction and multi-physical quantity coupling by constructing independent inter-segment topological conduction parameter systems and intra-segment multi-physical quantity coupling parameter systems. After two-level normalization of operational monitoring data, a comprehensive degradation index and evolution trend are generated. The dynamic residual degradation barrier is obtained by weighted integration of the influence of neighboring area conduction and the local degradation rate. A collaborative amplification factor is determined based on the degree of degradation. The gradually changing base and the amplified transient impact are superimposed to form a comprehensive risk value. The ratio of this value to the residual degradation barrier is used as the risk ratio. The state type and risk quantification results are output in conjunction with neighboring area constraints. This invention solves the problem in existing technologies where it is difficult to comprehensively handle the coupling effects of multiple factors and their dynamic evolution relationships during transmission line operation, leading to insufficient accuracy and reliability in condition assessment.

This invention discloses a data modeling method for the thermal error mechanism of a worm gear grinding machine spindle considering the electromechanical-thermal coupling effect. The steps include: 1) establishing the correlation between the thermal expansion deformation of the spindle system and temperature variables; 2) establishing the thermal balance equation of the spindle system and deriving the correlation between the spindle thermal error and the heat absorption of the spindle structure; 3) constructing a mathematical expression for the heat generation of the spindle system with respect to the electromechanical-thermal variables; 4) constructing a mathematical expression for the heat dissipation of the spindle system with respect to the electromechanical-thermal variables; 5) establishing a theoretical model for the thermal error of the spindle system with respect to the electromechanical-thermal variables; 6) converting the solution of the spindle system thermal error model into an optimization problem, and solving it using the HPSO-GA optimization algorithm to obtain the thermal error of the spindle system. This invention can accurately predict the spindle thermal error while revealing the influence of the electromechanical-thermal coupling effect of the spindle system on the thermal error.

The invention discloses a load spectrum construction and test method for an accelerated degradation test of a cantilever porcelain insulator of a contact network, and the method comprises the construction of a composite load spectrum and the accelerated degradation test based on the composite load spectrum, and can simulate the coupling effect of dynamic temperature circulation and static mechanical bending load in an actual working condition through the construction of the composite load spectrum. Performing an accelerated degradation test based on the composite load spectrum to obtain performance degradation data of the overhead line system cantilever porcelain insulator under the coupling action of the temperature and the mechanical load, and realizing life prediction and reliability evaluation of the overhead line system cantilever porcelain insulator; the load spectrum obtained by the method can truly simulate the service life of the overhead line system cantilever porcelain insulator in various load environments, thereby helping a railway operator to determine the optimal insulator maintenance and replacement period, and improving the safety and reliability. Performance degradation data of the overhead line system cantilever porcelain insulator under the superposition effect of the temperature and the mechanical load are obtained through an accelerated degradation test, and reference is provided for porcelain insulator structure optimization and material selection.

The invention discloses a distribution network distance protection parameter optimization method and system based on multi-factor coupling simulation, and relates to the technical field of parameter optimization, and the method comprises the steps: constructing a distribution network simulation model of a target distribution network, carrying out the multi-factor coupling simulation design, and obtaining a multi-factor coupling scheme; traversing the multi-factor coupling scheme to perform batch simulation to obtain a simulation feature set; by taking the simulation feature set as input and taking a condition that a distance protection action result accords with an expected protection action as a target, carrying out optimization solution on a variable setting parameter of a distance protection element; and monitoring and obtaining the real-time state of the distribution network, and dynamically adjusting the variable setting parameter of the distance protection element according to an optimization solution result. The technical problem that existing distribution network distance protection parameter optimization depends on an empirical formula or a simplified model due to the fact that the multi-factor coupling effect is not fully considered, and consequently optimization result robustness and adaptability are insufficient is solved.

The present application relates to the turbine disc and compressor disc processing and manufacturing technical field of aero-engine, gas turbine, etc., and discloses a wheel disc mortise broaching force regulation and control method and system, the method comprises the following steps: obtaining broach geometric parameters, broaching process parameters and workpiece material physical properties; based on the broach geometric parameters, the broaching process parameters and the workpiece material physical properties, the shear flow stress on the main shear surface in the cutting process is calculated, and the cutting force considering the strain softening and temperature-strain rate coupling effect is further calculated; based on the broach geometric parameters and the shear flow stress, the edge extrusion force caused by the broach edge roundness radius is calculated; the broaching force and the edge extrusion force are superimposed to obtain the wheel disc mortise broaching force; according to the wheel disc mortise broaching force, the broach geometric parameters and the broaching process parameters are adjusted and controlled, and then the wheel disc mortise broaching force is optimized to meet the actual processing requirements, which provides support for reducing the tool optimization design cost and improving the wheel disc processing quality.

The invention discloses a multi-suspended-span elastic bearing fluid conveying pipe stability parameter prediction method, and relates to the technical field of fluid conveying pipe vibration characteristic analysis. A multi-suspended-span pipeline is divided into a plurality of independent pipe sections at the supporting position, vibration control equations for describing all the suspended-span pipelines are established respectively, and the vibration control equations only consider the coupling effect of bending force, centrifugal force, gravity, Coriolis force and inertia force of the pipeline and do not contain any middle supporting constraint term; the intermediate support constraint is completely written into the cross-coupling boundary condition, so that the defects that the traditional Dirac function method is fuzzy in significance and the numerical calculation is difficult to converge are avoided; carrying out dimensionless processing on an oscillatory differential equation by introducing a dimensionless parameter, deducing to obtain a characteristic equation, a characteristic function and a characteristic value under the complex boundary condition by combining the end elastic boundary and the cross coupling constraint, converting a partial differential equation into an ordinary differential equation set, and carrying out matrix solution, so as to obtain an oscillatory differential equation set; and finally, an accurate prediction value of the inherent frequency can be obtained.

This invention discloses a method for synergistic optimization of the lifespan and cut surface quality of ultra-high strength steel trimming dies, relating to the field of metal plastic processing technology. It solves the problem in existing technologies that neglect the coupling effect between the transient temperature rise in the adiabatic shear micro-zone and the accumulation of micro-chipping on the cutting edge, leading to uncontrollable sudden failures. This invention can monitor the transient temperature rise gradient and micro-chipping density in the adiabatic shear zone using high-speed infrared and acoustic emission technologies. It constructs an effective damage variable using the accumulated micro-chipping density as a state variable and establishes an objective function with both die lifespan and cut surface quality as dual objectives. Through an intelligent optimization algorithm, it obtains a trimming gap compensation strategy that dynamically decreases with damage accumulation, achieving proactive compensation of cutting edge passivation by process parameters. This significantly improves the controllability of ultra-high strength steel trimming die failure and ensures the stability of the cut surface quality.

This invention discloses a method and system for analyzing the short-circuit withstand capability of power transformers considering cumulative damage, relating to the field of smart grid technology. It solves the problems of existing power transformer short-circuit withstand capability analysis methods being unsuitable for operational equipment and inaccurate results due to the analysis process only considering independent influencing factors and specific short-circuit scenarios. The key technical points are: considering all short-circuit conditions, for any given short-circuit condition, analyzing the winding safety factor from multiple dimensions (strength, stiffness, stability, and vibration, etc.), simultaneously considering the damage factor of a wide boundary (operational aging, cumulative impact, thermal effects) to perform a first correction to the multi-dimensional safety factor, and considering the strong mechanical coupling effect between windings to perform a second correction to the multi-dimensional safety factor, ultimately obtaining an accurate comprehensive safety factor for the power transformer's short-circuit withstand capability, thus realizing the assessment of the power transformer's short-circuit withstand capability.

The invention discloses a double-arm robot cooperative assembly control method and system, and relates to the technical field of robot cooperative assembly control, and the method comprises the steps: obtaining the assembly state data of a double-arm robot in the assembly process of a flexible assembly part; decomposing the cooperative force based on the assembly state data to obtain an internal force component and an external force component; determining deformation characterization data based on the internal force component and the assembly state data; correcting the target assembly pose based on the deformation characterization data, and generating compensated collaborative assembly target data; generating a double-arm collaborative assembly control instruction based on the internal force component, the external force component and the compensated collaborative assembly target data; and executing an assembly action according to the control instruction and circularly updating the assembly state data. According to the method, the clamping coupling effect and the assembly propelling effect are controlled in a distinguished mode, the deformation influence of the flexible assembly part is brought into the assembly control process, and therefore the assembly precision, stability, process adaptability and control reliability of the flexible assembly part are improved.

The invention provides a multi-factor combination test method and device for an intelligent automobile communication network, and belongs to the technical field of automobile electronic tests.The method comprises the steps that a dynamic coupling model containing reference parameters is established; generating a multi-physical field combination test scheme based on the coupling coefficient matrix and executing a test; monitoring an actually measured coupling strength parameter in real time, and triggering optimization if the coupling strength parameter is continuously higher than a threshold value; dominant failure factors are determined through failure feature analysis, a hardware optimization scheme is matched and executed, and reference parameters are updated after verification is passed. By quantifying the multi-physical field coupling effect, dynamically adjusting the test scheme and actively triggering the optimization mechanism, the technical problems that a traditional single-factor test cannot simulate real and complex working conditions, is low in test efficiency and cannot realize preventive maintenance are solved, and the reliability test precision and efficiency of the intelligent automobile communication module are improved.

This invention discloses a method for calculating the dynamic friction coefficient of a rough interface based on transient finite element method, belonging to the field of gear meshing interface friction and wear technology. The method first determines the calculation point on the gear tooth surface, extracts parameters such as load, sliding speed, roughness, and radius of curvature from the overall meshing transient simulation, establishes a local transient finite element model containing the rough morphology, and performs simulation. It then extracts the time-domain data of normal pressure and tangential friction resistance, calculates the transient friction coefficient through programming, and obtains the effective dynamic friction coefficient by taking the root mean square value. This invention fully considers the coupling effects of transient load, motion, vibration, and deformation in gear meshing, overcomes the limitations of experimental conditions, has high calculation accuracy, and a wide range of applications, providing reliable data for gear transmission efficiency analysis, power consumption calculation, and optimization design.

The invention provides a rotating main shaft digital twinning fusion modeling and dynamic optimization method and system, and relates to the technical field of intelligent manufacturing and digital twinning, and the method comprises the steps: obtaining multi-source data of a numerical control machine tool main shaft system, including manufacturing parameters, working condition data and physical state data; a digital twinning mechanism model representing the mechanical-thermal-dynamic multi-field coupling effect is constructed, and a structured digital twinning working condition model is constructed through feature extraction and classification; fusing the digital twinning mechanism model and the digital twinning working condition model to form a dynamic fusion digital twinning model responding to variable working conditions; co-simulation and optimization are carried out, and weak design links of the main shaft system under variable working conditions are identified; on the basis of the identified weak design links, a multi-objective optimization model taking improvement of fatigue life and machining quality as objectives is constructed, and solving is carried out; and performing dynamic performance simulation verification on the optimized design parameters through a dynamic fusion digital twinborn model, and outputting an optimal design parameter set.

The invention relates to the technical field of artificial intelligence, solves the technical problems that in the prior art, limitation of physical laws is prone to being neglected, complex coupling effects cannot be captured, large-scale strategy exploration is difficult to support, and geothermal energy overpressure mining occurs due to local optimum, and particularly relates to a development decision management method and system for geothermal energy. The method comprises the steps that geothermal multi-source data in a geothermal system is collected, a geothermal associated database is obtained through preprocessing and integration, a high-fidelity data set covering multiple scenes is generated through parameter uncertainty sampling, and a built physical sensing simulator can achieve the multi-scene high-fidelity data set while keeping the coupling physical law. The time consumption of single simulation is compressed from several hours to a second level, dynamic optimization of a development strategy under physical constraints is achieved through connection interaction of the DQN and the physical perception simulator, and the problems that the model falls into local optimum or violates the physical constraints to cause overpressure mining and the like are avoided.

The invention relates to an intelligent fault diagnosis method and device for an engineering machinery hydraulic system, equipment and a medium. The method comprises the following steps: acquiring multi-source operation parameters, generating a comprehensive symptom data set through data fusion, constructing a symptom dynamic trajectory model based on the data set, and training to obtain a symptom evolution trend; performing weighting operation on the evolution trend and the electrical and hydraulic parameter sequences, and clustering to obtain a power conversion efficiency quantitative index set; if the index is lower than a threshold value, a potential fault type is obtained through matching in combination with a symptom evolution law and an electro-hydraulic coupling effect intensity feature, then a causal inference graph is constructed according to a determined correlation feature of the potential fault type, and if multiple causal chains exist in the graph, an optimal tracing result is selected through Bayesian network sorting. According to the method, the problems of one-sided feature extraction and the like caused by dependence on manpower and single parameter in the prior art are solved, the diagnosis intelligence level and accuracy are improved, the shutdown risk is reduced, and the operation safety and efficiency are guaranteed.

The invention relates to the technical field of product reliability engineering. The invention provides a method and a system for determining limit stress information of a reliability enhancement test. The method is realized by the following steps: acquiring rated working stress and maximum allowable stress of a product, and calculating an initial stress increment; applying stress step by step by taking the initial stress increment as a stepping value, resetting the initial stress increment by adopting a dichotomy when a fault is excited for the first time, and performing a working limit test again to obtain a working limit upper limit; on the basis that the stress is excited by the first fault, the stress is improved to excite the fault under the stress, and the stress is traced back to the upper limit of the working limit to carry out the failure limit test. The problems that in the prior art, deep mining of test data and a multi-stress coupling effect systematic solution are lacked, and parameter optimization and a real-time feedback mechanism under the multi-stress condition are not involved are solved.

The application relates to a damping mechanism and a photographing device. The damping mechanism comprises a plurality of damping units, the plurality of damping units are arranged at intervals on a bearing mechanism, and when the bearing mechanism is connected with a load, the load is in contact with the plurality of damping units. The damping units are at least partially flexible members, wherein: the materials of at least two damping units are different at least partially; and / or the outer contours of at least two damping units are different at least partially; and / or the temperature environments of at least two damping units are different at least partially. The damping mechanism provided by the application adjusts the resonance frequency point of the damping mechanism by setting the materials, the outer contours and / or the temperature environments of some or all of the damping units to be different, reduces the coupling effect of the energy generated by the load in the vibration process, improves the stability of the load, and the plurality of damping units can be arranged around the load, the overall volume of the damping mechanism is reduced, and the layout and installation of the damping mechanism are facilitated.