171 results about "Load spectrum" patented technology

The invention provides an automatic leak detection method and system for a dynamic bending durability test of a metal corrugated pipe, and relates to the technical field of metal corrugated pipe performance tests.The method comprises the steps that a to-be-tested metal corrugated pipe is installed on a test station, and test working condition parameters are set through a PLC; the test working condition parameters comprise a bending motion mode, a load spectrum, an internal pressure type, a pressure value, a temperature condition and a test frequency; according to the bending motion mode and the load spectrum, a multi-degree-of-freedom bending motion mechanism is driven to apply a dynamic bending load to the metal corrugated pipe; and when the dynamic bending load is applied, internal pressure is applied to the interior of the metal corrugated pipe according to the internal pressure type and the pressure value, and a temperature environment is synchronously applied, so that a multi-factor coupling load is formed. According to the invention, on the basis of working condition setting, through multi-source data acquisition, correction and fusion determination, an automatic closed loop of test execution, abnormity alarm, helium detection quantification and report generation is realized.

The invention discloses a cable-stayed bridge cross brace optimization system based on system reliability and an intelligent algorithm, which relates to the technical field of bridge engineering, and comprises a multi-source parameter input module used for collecting and processing data such as a main beam section, stay cable parameters, a strain sequence, a vibration sequence, a satellite cloud picture, a traffic monitoring flow, laser point cloud and the like; and outputting the structured design data, the monitoring data flow, the dynamic load spectrum, the probability distribution model and the construction error correction parameters. According to the invention, all-dimensional data such as design, monitoring, load, materials and construction errors are integrated through the multi-source parameter input module, and multi-level and dynamic reliability evaluation is carried out on the component, the subsystem and the system level by using the system reliability analysis module, so that the component failure probability, the system reliability index time sequence and the like can be output; therefore, the real reliability level of the cross brace of the cable-stayed bridge in the whole life cycle is reflected more accurately, and the one-sidedness of a traditional method is avoided.

The invention discloses a method and a system for testing corrosion fatigue of a bone implantation device under a pathological condition, and relates to the technical field of orthopedic medical device evaluation, and the method comprises the following steps: constructing a dynamic load spectrum database covering physiological and pathological states; in-vitro reproduction of a dynamic mechanical environment borne by the bone implantation instrument in physiological and pathological states is completed through a multi-axis servo system; and acquiring service state data of the bone implantation instrument, and analyzing the service state data of the bone implantation instrument to obtain coupling experiment data. According to the invention, the defects of single load mode and environment simulation distortion in the traditional test method are overcome, high-fidelity simulation and comprehensive monitoring of the corrosion fatigue behavior of the bone implantation device under the pathological condition are realized, the consistency of the in-vitro test result and the in-vivo actual service performance is improved, and the application prospect is wide. And a scientific and unified evaluation basis is provided for material screening, structure optimization and service life evaluation of different types of bone implantation instruments.

The invention relates to the technical field of port cranes and mechanical engineering, in particular to a crane structure fatigue life prediction method and system. The invention provides a crane structure fatigue life prediction method. The crane structure fatigue life prediction method comprises the steps that a finite element model of a crane structure is established, and a stress-load mapping relation matrix of crane structure nodes is generated through dimension reduction processing; collecting actual working data of the crane structure; performing data processing on the actual working data, and constructing an actual working load spectrum; based on the stress-load mapping relation matrix and the actual operation load spectrum, generating a stress-time history used for calculating the fatigue life structure node of the crane; and calculating the fatigue damage of the crane structure and predicting the residual fatigue life by combining a stress-life curve and an accumulative damage theory of a crane structure material. According to the method provided by the invention, online, real-time and accurate prediction and visualization of the fatigue life of all structures of the crane are realized, and a basis is provided for formulating an accurate operation and maintenance plan.

The invention discloses a bridge anti-fatigue performance analysis and optimization method and system based on finite element analysis. The method comprises the following steps: constructing a bridge finite element basic model and a random fleet time-varying load spectrum, and executing damage-rigidity dynamic coupling iterative calculation; a fatigue sensitive area is automatically identified through the strain energy density gradient, a high-precision sub-model is generated, a basic model stiffness matrix is updated in real time through a sub-model calculation result, and a fatigue evolution cloud picture containing a stiffness degradation track is generated; and finally, identifying a damage hotspot based on the cloud picture, and generating an optimization strategy containing a traffic current limiting threshold and a structure reinforcement opportunity by using a genetic algorithm. According to the method, the problem of prediction deviation of traditional static analysis is solved by simulating the reverse influence of damage on rigidity and internal force redistribution, and accurate evaluation and scientific decision-making of the whole life cycle of the bridge are achieved.

The invention provides a service life prediction method and device for an industrial robot RV speed reducer, and relates to the technical field of speed reducer service life prediction.The method comprises the steps that an acceleration load spectrum is determined according to torque and time history data, and multi-stage loads in the acceleration load spectrum are woven into a program block spectrum according to a preset sequence; all levels of loads in the accelerated load spectrum serve as independent working conditions to be applied to the multi-body dynamic model for dynamic simulation, a load and time history curve set of the key weak component is obtained and input to the cumulative damage model for life calculation, the simulated predicted life is obtained, and a damage cloud picture is generated; taking the program block spectrum as a test loading instruction to carry out an RV speed reducer accelerated life test to obtain a test observation life and a physical failure morphology; if the two are in the corresponding preset deviation range, taking the simulated predicted life as the predicted life of the current RV speed reducer; the problems of long test period, high cost and low reliability of a simulation model are solved.

The invention relates to the technical field of electric power fitting testing, in particular to an electric power fitting aging testing device and method, the stress state of an electric power fitting in actual use is simulated through the cooperation of a tensioning mechanism and a mechanical loading mechanism, environmental loads such as temperature change, humidity change and salt mist are applied through an environmental load simulation mechanism, and the aging test of the electric power fitting is achieved. And meanwhile, alternating current is applied to the electric power fitting through the power supply module, so that the actual load of the electric power fitting is comprehensively simulated, a test environment identical to an actual application environment is constructed, and the reliability of a test result is ensured. And meanwhile, an equivalent cable simulation load spectrum is deduced according to historical load data by using a fatigue damage model, and the tensioning mechanism, the mechanical loading mechanism and the environment simulation mechanism act cooperatively according to the cable simulation load spectrum to carry out aging test on the electric power fitting, so that the test time is shortened, and the accuracy of an aging test result is ensured.

The invention discloses a vibration fatigue life prediction method and system based on a working condition adaptive spectrum. According to the method, load information of a target structure under various service conditions is obtained, and frequency domain load descriptions corresponding to different working conditions are subjected to weighted fusion according to working condition weights, so that a working condition adaptive load spectrum capable of reflecting real service characteristics is constructed; on the basis, frequency domain stress response of the structure under the random vibration condition is obtained in combination with a structural dynamics analysis model, equivalent stress description of dominant fatigue damage is further determined through a multi-axis equivalent criterion, and fatigue damage distribution is calculated through a frequency domain fatigue analysis method; and finally, predicting the vibration fatigue life of the structure in combination with a material fatigue performance curve and an environment-related performance correction relation. Compared with the prior art, the method has the advantages that the multi-working-condition load superposition effect and the service environment influence can be effectively considered, and the accuracy and engineering applicability of vibration fatigue life prediction are improved.

The invention relates to the technical field of fatigue simulation, in particular to a method for quickly predicting fatigue life and related equipment. The method comprises the steps of obtaining fatigue life evaluation parameters; the fatigue life evaluation parameters are preprocessed; performing multi-dimensional damage feature extraction on the preprocessed fatigue life evaluation parameters through the physical quantity change rate to obtain multi-dimensional features; performing compression parameter adaptive optimization on the multi-dimensional features through a multi-target genetic algorithm to obtain an optimal parameter combination; carrying out compression load reconstruction on the multi-dimensional features and the optimal parameter combination to obtain a compression load spectrum; and performing closed-loop verification and iteration on the compression load spectrum to obtain a target load spectrum. According to the method, the calculation efficiency and the adaptive capability can be remarkably improved while the prediction precision is ensured.

The invention discloses a construction method and device of a bucket load spectrum generation model, equipment and a medium. The method comprises the steps that a physical test bed is controlled to apply multi-dimensional dynamic loads to all stress point positions of the hydraulic excavator, and the hydraulic excavator is controlled to execute simulation operation according to working condition types; instantaneous loads acting on the bucket after the loads are transmitted to all the stress point positions are recorded in real time, and all the instantaneous loads are gathered to form a three-dimensional load spectrum of the bucket; collecting dynamic response data generated by each stress point position, associating the three-dimensional load spectrum with the dynamic response data to form training sample pairs, aggregating the training sample pairs to form a training data set, performing characterization processing, inputting the training data set into an original deep learning model for iterative training, and obtaining a three-dimensional load spectrum; and taking the deep learning model meeting the iteration termination condition as a hydraulic excavator bucket load spectrum generation model. According to the embodiment of the invention, the virtual rack is constructed by a physical test rack of a small number of excavator samples, and a basis is provided for efficiently generating reliable bucket load spectrums for batch excavators.

The present application belongs to the technical field of aircraft structure fatigue strength, and particularly relates to a method for converting a buffeting frequency spectrum of an aircraft structure into a fatigue load spectrum, comprising the following steps: Step 1: processing buffeting response load data of the aircraft structure to obtain a first-order bending modal characteristic frequency f1; Step 2: performing narrowband filtering on the buffeting response load data, and calculating a root mean square value σ of the filtered narrowband buffeting response load data; Step 3: performing rainflow counting on the filtered narrowband buffeting response load data to count the amplitude distribution of the narrowband buffeting response load data; fitting the amplitude distribution of the narrowband buffeting response load data with a Rayleigh distribution; and equivalently distributing the amplitude distribution fitted with the Rayleigh distribution to three typical load amplitudes; and Step 4: establishing a periodic step load spectrum according to the frequency of the three equivalent typical load amplitudes.

This invention relates to the field of electric drive technology, and particularly to a dynamic matching method, device, system, medium, and product for electric drive systems based on load spectrum driving. The method includes: acquiring load spectrum data based on the operating conditions of the electric drive system and the fatigue work cycle table of engineering machinery; classifying the load spectrum data, judging the motor's overload suitability, and compiling a cyclic load spectrum; obtaining the motor's theoretical temperature rise result and the motor's thermal simulation temperature result; dynamically adjusting the motor's thermal capacitance coefficient and thermal resistance coefficient based on the obtained motor theoretical temperature rise result and motor thermal simulation temperature result; and outputting the final motor thermal capacitance coefficient and motor thermal resistance coefficient. For redundancy optimization in motor overload matching, a closed-loop process of drive system load spectrum acquisition – load spectrum analysis – overload temperature rise theoretical calculation – motor thermal simulation verification is used to solve the problems of excessive redundancy, insufficient dynamic adaptability, and poor economy in traditional motor selection.

The invention discloses a load spectrum processing method of a driving system. The method comprises the steps that multiple pieces of operation data corresponding to a driving system are obtained, and the driving system corresponds to multiple transmission routes; classifying the plurality of operation data to obtain operation data sets corresponding to the plurality of transmission routes; based on the operation data set corresponding to the transmission route, a target working condition road spectrum corresponding to the transmission route is constructed, and the target working condition road spectrum comprises operation data fragments corresponding to a plurality of working conditions; and performing load simulation on the target working condition road spectrum by using the vehicle dynamics simulation model to obtain a load spectrum corresponding to the transmission route. According to the invention, the technical problem of insufficient accuracy of the generated load spectrum of the driving system in the prior art is solved.

This invention relates to the field of data processing technology and discloses a method and system for strength analysis of a towed catering truck chassis structure. The method includes: acquiring structural geometric data, material property data, and load condition data of the target catering truck chassis; reorganizing the torque components of the main components of the target catering truck chassis and determining the dynamic load spectrum based on the reorganized torque components and load condition data; performing structural mesh generation on the target catering truck chassis to obtain meshed finite element rules; applying the dynamic load spectrum to the finite element rules and performing finite element static and dynamic simulations to obtain stress distribution data and displacement deformation data; performing structural strength verification on the target catering truck chassis to obtain structural strength results; and integrating the structural strength results, stress distribution data, displacement deformation data, and dynamic load spectrum into a comprehensive strength analysis report. This invention can improve the efficiency of strength analysis of towed catering truck chassis structures.

The invention relates to the field of industrial intelligent nondestructive testing, in particular to a complex stress environment-oriented forging fatigue failure precursor signal intelligent identification method, which comprises the following steps of: firstly, constructing physical space mapping, extracting a streamline vector field based on forging finite element simulation data, and calculating a sensor path coupling factor; quantifying anisotropic constraint of the complex stress structure on signal propagation; dynamically setting a signal decomposition algorithm penalty factor according to a streamline geometric curvature, constructing a reference signal in combination with a load spectrum and a coupling factor, and extracting a feature response from stress environment monitoring data; then calculating the real-time signal-to-noise ratio, constructing an adaptive index, and combining the coupling factor and the directional transfer entropy to obtain a blocking index; and finally, setting double statistical windows based on a load period, completing failure precursor signal identification and judgment according to statistical characteristics of the double statistical windows, and remarkably improving the accuracy and timeliness of fatigue failure early warning through streamline field physical constraint and signal-to-noise ratio self-adaptive modulation.

This invention relates to the field of industrial intelligent nondestructive testing, and more specifically, to an intelligent identification method for fatigue failure precursor signals of forgings under complex stress environments. The method includes: first, constructing a physical space mapping; extracting streamline vector fields based on finite element simulation data of the forging; calculating sensor path coupling factors; and quantifying the anisotropic constraints of complex stress structures on signal propagation. Next, dynamically setting the signal decomposition algorithm penalty factor according to the streamline geometric curvature; constructing a reference signal by combining the load spectrum and coupling factors; and extracting characteristic responses from stress environment monitoring data. Subsequently, calculating the real-time signal-to-noise ratio (SNR), constructing an adaptive index, and obtaining a blocking index by combining the coupling factor and directional transfer entropy. Finally, setting a dual statistical window based on the load period; and completing the identification and judgment of failure precursor signals according to their statistical characteristics. Through streamline field physical constraints and adaptive SNR modulation, the accuracy and timeliness of fatigue failure early warning are significantly improved.

The invention belongs to the technical field of pipeline welding, and particularly discloses a welding prediction method and device suitable for a new energy natural gas pipeline. The method comprises the following steps: acquiring a load spectrum containing pressure fluctuation, temperature cycle and hydrogen partial pressure change; setting a target fatigue life threshold value; calculating a three-dimensional residual stress field through a thermal-mechanical coupling finite element model; the load spectrums are superposed, a critical plane method is combined with a Smith-Watson-Topper damage model to calculate the fatigue crack initiation life, and a hydrogen environment correction factor is introduced to quantify the hydrogen influence; with the standard reaching of the fatigue life as the constraint, welding parameters are optimized through an improved non-dominated sorting genetic algorithm; and outputting the optimal parameters to a welding system. According to the method, the problem that traditional welding parameter design lacks dynamic load and hydrogen environment coupling prediction capacity is solved, reverse design for reversely deducing process parameters from service requirements is achieved, and the reliability of welding quality and process formulation efficiency are remarkably improved.

The invention discloses a double-steel-wheel road roller integrated frame reliability bench test control method, which belongs to the technical field of double-steel-wheel road roller frame testing, and comprises the following steps: obtaining analogue simulation load data under a double-large vibration working condition based on analogue simulation calculation; inputting a set load spectrum program into a control system of the electro-hydraulic servo actuator so as to apply a cyclic load spectrum to the integrated frame; gradually lifting the cyclic load spectrum to a target load level, recording a dynamic strain time history, a displacement change and an acceleration response of a key measuring point in the endurance test process, and performing online damage monitoring to obtain a periodic damage detection record; and finally evaluating the fatigue damage, the durability limit and the structural reliability of the integrated frame by combining a fatigue damage accumulation theory. The method is good in universality and adaptability, can simulate the frame vibration load spectrum based on the cooperation of the front / rear double actuators and the single shaft, reproduces the vibration compaction working conditions of the front and rear double steel wheels of the road roller in the time domain, and achieves process prediction and optimization.

The invention discloses a time-varying reliability optimization design method and system for a helical gear. The method comprises the following steps: establishing a gear reliability optimization design model which takes gear volume minimization as an optimization target and takes full-life-cycle time-varying reliability as a constraint; constructing a gear contact fatigue time-varying limit state function coupling the time-varying load spectrum and the material strength degradation model; constructing a time-varying reliability analysis module based on an agent model and an active learning strategy so as to evaluate the time-varying limit state function; and an optimization algorithm is adopted to solve the gear reliability optimization design model, the time-varying failure probability of the candidate scheme is evaluated by calling the time-varying reliability analysis module, the time-varying reliability constraint is processed according to the time-varying failure probability, and optimal gear design parameters meeting the constraint are output. According to the method, efficient cooperation of time-varying reliability high-precision evaluation and lightweight optimization design is realized, and the problem that a time-varying factor cannot be considered in optimization due to too high analysis cost in a traditional method is solved.

The application provides a gear fatigue crack propagation life calculation method and system considering random dynamic load, and the method is as follows: a local plane coordinate system is established at a crack tip, and a crack propagation equation is constructed; time-varying mesh stiffness containing a tooth root crack feature is calculated; a vibration differential equation of a gear mesh pair is constructed and solved, and dynamic meshing forces of the gear pair under different crack states are obtained; the dynamic meshing forces of the gear pair under different crack states are processed, and a load spectrum is prepared, and variable amplitude load data with multi-periodicity are obtained; the variable amplitude load data are taken as boundary conditions, crack propagation is simulated, gear fatigue crack propagation data are read from a finite element data file; stress intensity factors are calculated based on the gear fatigue crack propagation data; and fatigue crack propagation life is estimated based on the Paris formula and the stress intensity factors. The method can improve the reliability and fatigue crack propagation life of the gear, improve the safety of equipment, and reduce maintenance costs.

The invention discloses a co-excitation Wheatstone full-bridge circuit fault positioning method based on resistance measurement, and belongs to the technical field of flight load spectrum testing. The system comprises a graphical interface module, a measurement data management module, a circuit topology storage module, an admittance matrix calculation module, a fault diagnosis engine module, a result display module and a file management module. The implementation method comprises the following steps: constructing a topological structure of a co-excitation Wheatstone full-bridge circuit, and defining nodes, resistors and a connection relation; inputting a resistance value among the eight fixed measurement points; generating possible fault resistance combination constraints; calculating a theoretical equivalent resistance value through an admittance matrix method; calculating the error between the theoretical value and the measured value; preferentially processing infinite constraints, and searching an optimal fault combination; and outputting a fault resistor positioning position and a diagnosis report. According to the invention, through automatic calculation and an intelligent optimization algorithm, rapid and accurate fault positioning is realized, and the maintenance cost and time of a flight load spectrum test system are substantially reduced.

The application provides a vibration test load spectrum compiling method and device, and the method comprises the following steps: acquiring vibration acceleration time domain load, dynamic stress time domain response and vehicle running speed of the actual running condition of a hanging component; dividing the vehicle running speed data into several speed intervals according to the running speed range of the vehicle; obtaining vibration acceleration power spectrum and dynamic stress power spectrum through Fourier transform; performing goodness-of-fit test on the obtained vibration acceleration power spectrum to confirm the distribution of the vibration acceleration power spectrum; synthesizing the vibration acceleration power spectrum under all speed levels into vibration acceleration function test load spectrum under different confidence levels according to the proportion of each speed level in the service period of the vehicle; and compiling the vibration acceleration function test load spectrum under different confidence levels into corresponding vibration acceleration fatigue test load spectrum according to the vibration acceleration function test load spectrum, the service period and the target bench vibration test time.

The invention discloses a bush load determination method and device, equipment and a storage medium, and relates to the technical field of vehicles, and the method comprises the steps: obtaining a target response signal corresponding to a preset position; based on the initial load signal, simulating a kinematic model corresponding to the vehicle to obtain a prediction response signal corresponding to a preset position in the kinematic model; according to a first difference corresponding to the predicted response signal and the target response signal at each sampling moment, correcting load data corresponding to each sampling moment in the initial load signal to obtain a candidate load signal; simulating a kinematic model based on the candidate load signal to obtain a candidate response signal corresponding to a preset position in the kinematic model; determining a second difference between the candidate response signal and the target response signal; and under the condition that the second difference meets a preset condition, a target load spectrum corresponding to the bushing in the vehicle is determined based on the candidate load signal. And the reliability and the precision of the bushing load determination result are improved.

The invention discloses a method and device for determining a load spectrum of a differential mechanism of a vehicle, a processor and the vehicle. The method comprises the steps that operation data of a vehicle are obtained, and the operation data are at least used for representing the operation state of the vehicle; differential data of the vehicle are determined based on the operation data, and the differential data comprise the left half axle rotating speed and the right half axle rotating speed of the vehicle, the rotating speed difference between the left half axle rotating speed and the right half axle rotating speed and the difference rate; based on the differential data and the motor data of the vehicle, the working condition of the vehicle is classified, and a classification result is obtained; based on the classification result, combined load counting is conducted on the input torque and the rotating speed difference, a load counting result is obtained, and based on the load counting result, the damage value of the differential in the vehicle under the working condition of the vehicle is determined; and determining a load spectrum of the differential based on the load counting result and the damage value. The technical problem that the determination accuracy of the load spectrum of the differential mechanism of the vehicle is low is solved.

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 numerical control tool rest reliability experiment method based on edge calculation and a generative model, and belongs to the technical field of numerical control machine tool reliability evaluation. The method comprises the steps of obtaining structure parameters and material information of the numerical control tool rest; establishing a finite element model to determine a bearing capacity range; designing a loading working condition, carrying out a stress loading experiment, and constructing a load spectrum of various typical processing working conditions; arranging a sensor to collect multi-dimensional operation state data; carrying out data preprocessing and feature extraction by utilizing an edge computing node; constructing and training a reliability evaluation network based on the generative model; and generating and expanding operation data under an unknown working condition based on the trained generation model, and evaluating the reliability index of the knife rest. According to the method, real-time data processing is achieved through edge calculation, the working condition coverage range is expanded in combination with a generative model, comprehensive reliability evaluation can be conducted on the numerical control tool rest under limited experiment conditions, and the evaluation precision and efficiency are improved.

The invention discloses a multi-power-source driving system life balance control method, device, equipment and medium, and the method comprises the steps: firstly, processing time sequence signals of torque and rotating speed through a rain flow counting method, and converting the time sequence signals into load spectrum information; then calculating an equivalent damage value of each power source life sensitive part based on a power-law relationship based on a Miner linear cumulative damage theory and fatigue damage; judging a service life imbalance state by comparing the maximum value and the minimum value of the equivalent damage values of all the power sources; when imbalance occurs, based on the current equivalent damage value of each power source, obtaining a torque distribution weight proportion of each power source required for achieving a life balance target; and the preset adjustment mileage is operated according to the torque distribution weight proportion. According to the method, the span from indirect speculation to direct perception and from blind control to accurate balance is realized, the problem of service life imbalance caused by component difference, load history and maintenance and replacement is solved, the comprehensive service life of the multi-power-source driving system is prolonged, and the reliability of the multi-power-source driving system is improved.

The application discloses a kind of based on data fusion's mine hoisting equipment condition monitoring method and system, it is related to equipment monitoring technical field, the method is by obtaining steel wire rope load, hoist operating speed and position data;Multiple source data are time-synchronized and mapped to multidimensional working condition state space, and working condition load spectrum data are constructed;Working condition load spectrum data are input into fatigue damage accumulation model based on component material S-N curve and nonlinear damage accumulation function, and the cumulative damage degree value changing with time is calculated and obtained;Based on the change rate of cumulative damage degree value, the residual service life of component is calculated;And when the residual service life is lower than preset threshold, generate early warning information, reaches the precise quantitative evaluation and early predictive maintenance of mine hoisting equipment key component fatigue state, solves the problem that internal fatigue damage accumulation of key component cannot be quantified in the prior art and accurate maintenance early warning cannot be provided before component failure.

The invention relates to a method and a system for testing rolling load performance of a moving surface layer. The method comprises the following steps: fixing a moving surface layer sample to be tested on a test base and determining a rolling test area; a rolling load spectrum comprising a plurality of test periods is constructed, at least one different rolling load parameter is set in different test periods, and the parameters comprise one or more of normal load, contact pressure, rolling speed, reciprocating stroke, rolling path width and cycle index; driving a roller assembly to apply a reciprocating rolling load to the test area according to the load spectrum, and collecting multiple types of test data; performing time synchronization, de-noising and feature extraction on the data to obtain a damage feature set of residual indentation, rigidity attenuation, wear rate, dusting, peeling and the like; generating a rolling load performance score and / or grade determination; and when the two adjacent test periods meet the termination conditions such as the damage threshold, the score threshold or the maximum period number and the like, terminating and outputting a result.