55 results about "Load cycle" patented technology

The invention relates to the technical field of spring measurement, and discloses a spring fatigue life test system and a dynamic balance evaluation method, and the system comprises a reference length acquisition module, a dynamic balance state determination module, a working condition spectrum loading module, a stress-strain response data acquisition module, a damage feature extraction module and a life evaluation module. Acquiring a reference length in a free state; step increasing preload is applied, and when it is detected that the deformation rate of the to-be-detected spring is smaller than a set threshold value, it is judged that the to-be-detected spring reaches a dynamic balance state; in a dynamic balance state, loading the to-be-tested spring based on the variable amplitude load time sequence signal, and synchronously acquiring stress-strain response data; identifying the stress characteristics of the to-be-tested spring in the load period; generating a life evaluation report based on the stress characteristics; the accuracy of the fatigue life of the spring can be improved.

The invention discloses a roadbed settlement prediction method and system under an intermittent load effect. The method comprises the following steps: constructing a state evolution model of a roadbed under the action of intermittent load; cyclic stress parameters of the roadbed in the preset load period are determined, wherein the cyclic stress parameters comprise the dynamic stress amplitude, the number of cycles of the load and the initial stress value; a softening index corresponding to the roadbed is determined based on the cyclic stress parameter, a relational expression between the softening index and the load vibration frequency is established, and a modulus softening prediction model of the roadbed is determined based on the relational expression; and coupling the modulus softening prediction model with the state evolution model, and determining a roadbed cumulative strain prediction model based on a coupling result, so as to determine the settlement evolution state of the roadbed under the intermittent load based on the roadbed cumulative strain prediction model. According to the invention, the finally obtained roadbed accumulated strain prediction model can reflect the actual settlement state of the roadbed under the intermittent load more truly.

The invention discloses a safety valve service life evaluation method based on pressure history statistics and dynamic damage accumulation. According to the method, only safety valve inlet pressure time sequence data is needed, a load cycle is extracted through an improved rain flow counting method, and the nonlinear damage increment is calculated according to an S-N curve model dynamically degraded along with the accumulated damage degree. According to the method, a self-adaptive failure probability threshold is established based on historical failure data, and probabilistic prediction of the residual life is realized. The model is clear in physical significance, only needs a single data source, significantly reduces the implementation complexity and cost, greatly improves the precision of life prediction by considering the degradation of material performance, and is especially suitable for predicting the accelerated failure risk of the safety valve in the later period of long-term service.

The invention relates to the technical field of geotechnical engineering anchoring, in particular to a method for testing the degradation characteristic of the bearing performance of a recyclable anchor rod under cyclic loading. The method comprises the following steps: preparing a unit body sample anchor-rock interface unit body sample, simulating weathered soft rock according to a specific ratio, pouring a self-compacting concrete anchoring body, and curing and forming; setting a combined parameter of a reference load ratio and a load cycle index, applying a triangular wave cyclic load to simulate a traffic condition, and executing a pull-out test to collect load-displacement data; constructing a two-parameter coupled shear strength degradation model based on test data, and proposing a shear stress-displacement curve model; an anchor rod load transfer control equation is established in combination with the Poisson effect, and shear stress distribution of the anchoring section is iteratively solved by adopting a discrete recursion method; the model is verified through a foundation pit engineering case, the ultimate bearing capacity degradation law of the anchor rod under long-term cyclic loading is predicted, and it is proved that the model can guide engineering safety design. According to the method, the coupling characterization of the cyclic load parameter and the interface degradation mechanism is realized.

The invention discloses an aero-engine double-characteristic program spectrum compilation method, and relates to the technical field of aero-engine structural part load spectrum compilation, and the aero-engine double-characteristic program spectrum compilation method comprises the steps: obtaining and preprocessing an aero-engine load time history, and obtaining an aero-engine load cycle; performing clustering analysis to obtain a typical characteristic cycle, and constructing a typical characteristic load program spectrum block; establishing a multi-objective optimization model, solving by using a particle swarm to obtain an optimal load grade frequency, and determining the number of program spectrum block loads of each grade of typical characteristic circulation; and determining the sequence of program spectrum blocks according to the position of a typical characteristic load hysteresis loop. According to the method, blindness of a traditional equal-interval or fixed-proportion division method is effectively overcome, scientificity and representativeness of load grading are remarkably improved, program spectrum compiling work is remarkably simplified, and standardization, repeatability and engineering implementation efficiency of the program spectrum compiling method are improved.

The invention discloses a method for predicting fatigue life of a high-temperature alloy electron beam welding joint by considering residual stress, which comprises the following steps of: on the basis of a traditional S-N curve of the welding joint, superposing the residual stress, and considering that the residual stress is released along with a fatigue load cycle number so as to correct the S-N curve. Firstly, a change curve of the residual stress attenuation rate Sr along with the cycle index in the fatigue loading process of the high-temperature alloy electron beam welding head is established, and a residual stress reduction coefficient K is obtained through calculation based on the Sr curve. The initial residual stress is corrected by introducing a reduction coefficient K, and the initial residual stress and external load stress are linearly superposed to establish a damage parameter, so that a welded joint fatigue life prediction model considering residual stress release is established. The model has relatively high life prediction precision, and compared with the mode that residual stress is not considered, the life prediction dispersion zone is improved from + / -3 times to + / -1.25 times.

A system may include a power component, the power component including at least one device processor configured to: obtain load data, wherein the load data comprises a power characteristic associated with at least one of a high-load element or a low-load element, obtain a trained power management artificial intelligence (AI) and / or machine learning (ML) model, based at least on the load data and the trained power management Al and / or ML model, infer a direct current (DC) link voltage adjustment, wherein the DC link voltage adjustment is correlated with a predicted load cycle parameter; and cause the power component to alter a DC link voltage from an initial level to an adjusted level based on the DC link voltage adjustment.

The present application relates to the technical field of high-temperature structural component fatigue strength design and life assessment, and particularly relates to a low-cycle multi-axial fatigue life prediction method based on powder high-temperature alloy damage mechanism. The method comprises: for the dangerous point of the component under non-isothermal multi-axial cyclic loading, calculating pure fatigue damage, pure creep damage and fatigue-creep interaction damage caused by a single load cycle; accumulating the pure fatigue damage, the pure creep damage and the fatigue-creep interaction damage to obtain the total damage of the single load cycle; taking the inverse of the total damage to predict the total failure life of the component under non-isothermal multi-axial cyclic loading. The method of the present application realizes effective prediction of the low-cycle multi-axial fatigue life of the powder high-temperature alloy component by accurately decomposing the damage of the dangerous point under non-isothermal multi-axial cyclic loading, can more truly reflect the comprehensive prediction model of the failure physics of the powder high-temperature alloy under multi-axial thermal mechanical loading, and improves the accuracy and reliability of the life assessment.

The invention discloses an anti-loosening mechanism for connecting an output shaft of a driver with a load end and a robot, and belongs to the technical field of robots, the anti-loosening mechanism comprises a first fastener and a second fastener; the first fastener is used for fixedly connecting the second fastener with the output shaft; the second fastener is fixedly connected with the load end; an anti-skid piece is arranged between the first fastening piece and the second fastening piece and used for preventing relative rotation movement between the first fastening piece and the second fastening piece. According to the anti-loosening mechanism for connecting the output shaft of the driver with the load end and the robot, the problems that in the prior art, the output shaft of the driver is fixed only through a flange plate and a screw, the screw is prone to loosening under the environments of high-frequency positive and negative rotation alternate operation of the driver, periodic impact of the load and the like can be effectively solved; and power transmission interruption is caused.

Various embodiments of the teachings herein include a method for ascertaining at least one average capacity loss of a battery storage device. The method may include: measuring at least two load cycles of the battery storage device using a high precision coulometry apparatus; determining a first charge displacement and a second charge displacement; determining a capacity loss equal to the difference between the first charge displacement and the second charge displacement; repeatedly measuring load cycles until the capacity loss is almost constant in at least two consecutive load cycles; and ascertaining an average capacity loss based on at least two capacity losses.

The invention discloses a fatigue health monitoring method and device for a wind turbine generator structure, equipment and a medium, and relates to the technical field of wind power monitoring, and the method comprises the steps: dynamically screening a middle extreme value based on data in an alternating load storage queue, and screening an effective extreme value; if the initial load extreme value queue is not an empty queue and the type of the effective extreme value is inconsistent with the type of a tail extreme value in the initial load extreme value queue, storing the effective extreme value in the initial load extreme value queue to obtain a load extreme value queue; when the number of extreme values in the load extreme value queue is not smaller than a preset threshold value, screening a target extreme value, if the type of the target extreme value meets a load cycle condition, constructing a first effective load cycle, and calculating an equivalent fatigue load and residual life; setting other load extreme values except the first effective load cycle as closed cycles, and calculating a second effective load cycle; the equivalent fatigue load and the residual life are calculated and corrected, the timeliness and reliability of fatigue monitoring are improved, the structural safety of the whole machine is guaranteed, and the operation and maintenance level is improved.

The invention discloses an electroplating hanger return device and method, and belongs to the technical field of electroplating automation, and the method comprises the steps: periodically collecting the displacement and speed of a hanger queue and the current data of a driving motor, calculating the no-load / full-load cycle efficiency ratio, positioning the energy consumption dispersion and the queue synchronization delay coefficient; and evaluating a comprehensive health index of the system and generating a current and time disturbance weight factor. And a speed curve smoothing factor and a current feed-forward compensation gain are dynamically adjusted based on the weight factor, adaptive closed-loop control is performed on the motor, and optimal adjustment of the return motion of the hanger is realized. According to the invention, the operation synchronism, stability and energy efficiency of the system can be improved, and the adaptability to load fluctuation and equipment aging is enhanced, so that the overall reliability and control precision of the electroplating production line are improved.

The intelligent excavation type loader comprises an excavation type loader body, a dust falling mechanism is arranged on the surface of an excavation arm on the side face of the excavation type loader body, the dust falling mechanism comprises a spraying box arranged on the surface of the excavation arm on the side face of the excavation type loader body, and a nozzle is arranged on the side face of the spraying box; through a nozzle anti-blocking cleaning mechanism such as a sweeping strip automatic cleaning and elastic reset dustproof assembly, dust floating objects on the surface and an opening of a nozzle can be actively removed when the dust falling device is idle, the nozzle is prevented from being blocked, losing efficacy and being healthy, it can be ensured that a water mist system normally outputs atomized water flow during hoeing operation, coal dust and rock dust are intercepted in the first time, and the dust falling efficiency is improved. The dust concentration is reduced, the dust suction amount of workers is greatly reduced, the pneumoconiosis risk is reduced, the efficiency level is high, the view blocking caused by dust falling interruption can be avoided, the problems of bucket adjustment delay and material spilling leakage are reduced, the single-time hoeing cycle time is shortened, and the roadway cleaning and material transferring continuity is improved.

The invention relates to a spring fatigue life test method and system. The spring fatigue life test method comprises the following steps: synchronously acquiring an instantaneous force signal and an instantaneous displacement signal of a tested spring, and identifying and obtaining each loading cycle based on the instantaneous force signal and the instantaneous displacement signal; on the basis of the instantaneous force signal and the instantaneous displacement signal corresponding to each loading cycle, characteristic parameters reflecting the mechanical response characteristics of the spring are extracted; tracking the change trend of the characteristic parameters along with the loading cycle times, and calculating according to the change trend of the characteristic parameters to obtain the change rate of the characteristic parameters; and judging the fatigue failure point of the spring according to the change trend and the change rate. The reliability of a fatigue life test result can be remarkably improved, and accurate data support is provided for design optimization of the spring.

The application provides a door and window processing parameter optimization method and system, relates to the door and window processing field, and obtains door and window parameters and external environment information, establishes a door and window simulation model according to the door and window parameters, converts the external environment information into physical load parameters, then performs accelerated simulation operation on the door and window simulation model based on the physical load parameters, obtains door and window performance evaluation results, and finally generates door and window design optimization information according to the evaluation results, and simulates the long-term performance of the door and window within a preset time period by applying multiple frequency load cycles. Through the technical scheme, the application can effectively solve the problem that the existing technology lacks accurate prediction and evaluation capability for the small local deformation of the super-large size and slender profile door and window under the long-term complex environment and the cumulative influence of the small local deformation on the long-term reliability and optical quality of the door and window, and avoids the performance attenuation and quality problems that may occur in the actual application of the traditional method.

The invention discloses a steam turbine system for improving wide-load cycle efficiency based on a regenerative small machine and an operation method thereof. The steam turbine system comprises a pressurization module, and the pressurization module comprises the regenerative small machine, a pressurization cylinder and a water supply secondary heater; the pressure cylinder and the high-pressure cylinder are coaxially arranged; the main steam pipeline comprises a pressure cylinder branch and a high-pressure cylinder branch; a first steam exhaust port and a second steam exhaust port of the pressure cylinder are connected with a high-pressure cylinder branch and a water supply secondary heater through a first steam exhaust pipeline and a second steam exhaust pipeline respectively; a first steam exhaust valve and a second steam exhaust valve are respectively arranged on the first steam exhaust pipeline and the second steam exhaust pipeline; a high-pressure cylinder steam inlet valve is arranged on the high-pressure cylinder branch between the pressure cylinder branch and the first steam exhaust pipeline; a steam inlet of the regenerative small machine is connected with a first steam exhaust pipeline and a high-pressure cylinder steam extraction opening through a first steam inlet branch and a second steam inlet branch which are connected with the steam inlet main pipe in parallel. A first steam inlet valve and a second steam inlet valve are respectively arranged on the first steam inlet branch and the second steam inlet branch; and the steam inlet end of the first steam inlet branch is connected to the first steam exhaust pipeline between the steam exhaust port of the pressure cylinder and the first steam exhaust valve.

This application relates to a method and system for testing the fatigue life of a spring. The method includes: simultaneously acquiring instantaneous force and displacement signals of the spring under test, and identifying each loading cycle based on the instantaneous force and displacement signals; extracting characteristic parameters reflecting the mechanical response characteristics of the spring based on the instantaneous force and displacement signals corresponding to each loading cycle; tracking the changing trend of the characteristic parameters with the number of loading cycles, and calculating the rate of change of the characteristic parameters based on the changing trend; and determining the fatigue failure point of the spring based on the changing trend and the rate of change. This invention can significantly improve the reliability of fatigue life test results and provide accurate data support for spring design optimization.

The application discloses a short-term power load prediction method and system based on a graph-enhanced time-frequency double-branch structure and belongs to the technical field of power system load prediction. The application firstly pre-processes a power load sequence, obtains phase-enhanced time sequence characteristics through adaptive time domain inquiry, extracts multi-scale enhanced characteristics through multi-scale convolution, and then inputs the time-frequency double-branch to obtain time domain and frequency domain preliminary prediction results respectively; graph structure modeling is further used to realize variable correlation enhancement and obtain graph-enhanced time-frequency characteristics; finally, adaptive weighted fusion is performed to obtain power load prediction results. The application can accurately model load cycle characteristics, fully excavate variable coupling correlation, significantly improve the precision, robustness and scene adaptation capability of short-term load prediction, and meet the engineering application requirements of new power systems.

The invention relates to an elastic film (1) with at least one core layer (3) based on styrene block copolymers, wherein the at least one core layer (3) is arranged between at least two cover layers (2). The cover layers (2) exhibit elastic properties without activation, and during a first load cycle, the film (1) exhibits a force of less than 3.75 N at an elongation of 160%. For this purpose, a film strip for the load cycle has a width of 25 mm in the MD direction and is fixed at a CD spacing of 25 mm between grippers of a test device, and the film strip is stretched in CD at a speed of 254 mm / min.

This invention relates to the field of metallurgical lifting equipment testing technology, specifically a method for predicting the fatigue crack propagation life of metal structures in metallurgical cranes. The method includes: collecting structural stress spectrum, strain monitoring time-series data of stress concentration areas, lifting operation spectrum, and temperature and humidity data under service conditions; constructing an initial crack parameter model; calculating the stress intensity factor variation spectrum, including the amplitude of the stress intensity factor at the crack tip corresponding to each load cycle; calculating the crack propagation increment per cycle and accumulating the crack size evolution data; setting a critical crack propagation size threshold based on structural integrity assessment criteria; and predicting the fatigue crack propagation life by comparing the evolution data with the threshold. This method refines the calculation dimensions of the stress intensity factor, restores the dynamic evolution process of crack size, closely matches the actual service load characteristics of metallurgical cranes, and optimizes the accuracy of crack propagation life prediction.

The invention discloses a method and equipment for predicting the strength and service life of a cab and a medium, and relates to the technical field of vehicle fatigue durability. The method comprises the following steps: arranging a displacement sensor in a suspension of a cab, collecting displacement time domain data, and obtaining a rigidity parameter of the cab; according to the displacement time domain data and the rigidity parameter, calculating a positive load and a negative load of the corresponding suspension; establishing a finite element model of the cab, applying a positive load and a negative load to the corresponding suspension, and performing cab strength finite element calculation through an inertia release method to obtain strength stress distribution; performing rain flow counting on the displacement time domain data, counting the number of load cycles, and calculating a single road condition damage value according to a positive load, a negative load and a material S-N curve; and accumulating the single road condition damage values to obtain the total fatigue life of the cab. According to the method, the novel method for evaluating the strength of the cab by using the test field road spectrum load is realized, and the strength evaluation and the performance prediction are closer to the test field condition.

This invention proposes a method and system for constructing a component life prediction model based on physical mechanisms, belonging to the field of fatigue life prediction technology. Addressing the problem of low accuracy in existing life prediction results, this invention acquires load data of structural components and bearings, classifies the load data, and statistically analyzes the number of cycles to obtain load cycle statistics, calculating damage characteristic parameters of structural components and bearings under actual working conditions. Based on the structural component damage characteristic parameters, the cumulative damage degree of the structural component is calculated, and the cumulative damage degree of the bearing is calculated based on the bearing damage characteristic parameters. According to the load transfer coupling relationship between the structural component and the bearing, the cumulative damage degree of the structural component and the cumulative damage degree of the bearing are coupled and corrected to obtain corrected cumulative damage degrees of the structural component and bearings. A structural component life prediction model is constructed based on the corrected cumulative damage degree of the structural component, and a bearing life prediction model is constructed based on the corrected cumulative damage degree of the bearing. This invention provides high accuracy in life prediction results.

This invention discloses a method for calculating the installed capacity of distributed generation (DG) in a distribution area based on the time-series power of distribution transformers. The method includes: classifying the target distribution area by DG type; matching the DG type classification results with corresponding time period filtering principles; filtering the corresponding pure load time periods according to the time period filtering principles; obtaining pure load time period data; classifying the pure load time period data by date type; extracting the load cycle features corresponding to each date type; fitting the load cycle features using a pre-trained LSTM neural network model; outputting the load prediction value corresponding to the pure load time period; calculating the DG output at the corresponding time based on the load prediction value; filtering the maximum DG output value for the pure load time period; assigning dynamic coefficients to the maximum DG output value; and outputting the actual installed capacity of the target distribution area. This method improves the accuracy of DG installed capacity calculation, enhances data robustness, is applicable to a wider range of application scenarios, and is low-cost and easy to implement.

The application belongs to the technical field of environmental aging test, and is a large and medium-sized aircraft engine nacelle structure environmental simulation test method. The overall structure of a specific test procedure and multiple action modes of accelerated aging test are determined. Then, the material characteristics of the aircraft are analyzed to determine the specific design requirements of the accelerated aging test. Finally, the use and maintenance requirements of the aircraft, the load cycle conditions, and the environmental parameters and action time are analyzed to perform the accelerated aging test. On the one hand, the aging resistance performance of the material of the special temperature-medium environmental structure of the large aircraft engine nacelle can be accurately evaluated. On the other hand, the period of the accelerated aging test in the test process is short. Through the indoor artificial accelerated aging test, the time for evaluating the aging resistance of the large aircraft in a specific environment is shortened to 3% of the natural environment. On the other hand, the requirement for the equipment for implementing the test is low, and the existing medium-resistant and heating test equipment can be used for the accelerated aging test.

The application discloses a design method of a special-shaped box loading scheme, belongs to the technical field of material arranging and loading, and adopts a manipulator as an executing mechanism. The number of clamping claws in a material clamp is determined according to the column number of incoming materials, loading capacity demand and the optimal action beat of the manipulator, and the clamping claws in the clamp all adopt clamping claws capable of independently controlling opening and closing actions. According to the determined number m of the clamping claws in the clamp and the number n of material grids in the special-shaped box, the least common multiple L of the two is calculated, so that the intelligent manipulator picks up L / m times of materials and fills L / n boxes in one loading cycle. In each loading cycle, the loading logic of each clamping claw in the clamp in the loading cycle is determined according to the position of the material grid in the box. The design scheme can design a suitable loading scheme for each special-shaped box, optimizes the loading logic, simplifies the loading and placing actions, and effectively improves the loading efficiency of the special-shaped box.

The invention relates to the technical field of safety management, in particular to a medical instrument safety management system based on a block chain, and the system comprises a state recognition module, a path behavior calibration module, a load cycle archiving module, a maintenance node recognition module and a supervision chain synchronization module. According to the method, operation behaviors and time labels are collected through unique identification information activated and bound by equipment, a chain type label set covering the full life cycle of the equipment is established in combination with a block chain block structure, and accurate recognition of instruction consistency, permission sequence and time intervals is achieved through comparison of behavior logs and structure fields of preset standard path segments. An abnormal path is marked, an abnormal identifier list is established, local archiving data is combined according to three indexes of task duration, calling frequency and operation intensity and written into a block chain archiving section, the automation degree of operation behavior verification and the timeliness of abnormal state response are improved, and information consistency and safety toughness are enhanced.

According to the STIRPAT and conditional diffusion model-based power load prediction method and system and the medium, the nonlinear influence of multiple factors on the load is accurately quantified by expanding the STIRPAT model and a ridge regression solving method, a periodic perception noise adding and conditional embedding mechanism is adopted, multi-factor driving and time sequence generation are deeply fused, and the power load prediction efficiency is improved. The capturing capability of a load period rule and dynamic fluctuation is remarkably improved, and point prediction and interval prediction of the power load are realized based on a conditional diffusion model. The method is suitable for accurate prediction of medium-and-short-term power load and power consumption in different scale scenes such as regional power grids, industrial enterprises and commercial parks, and can provide technical support for planning and design of a power system, scheduling operation optimization, power consumption management decision and power-carbon coordinated regulation and control.

The invention relates to a roof partition load cyclic calculation method considering material fatigue damage equivalent characteristics, which comprises the following steps: firstly, determining material damage characteristics under cyclic loads with different amplitudes through numerical simulation, and establishing a cyclic load sequence considering damage equivalence; secondly, obtaining roof wind pressure coefficient time history data by using a wind tunnel pressure measurement test, and dividing the roof into different wind load subareas such as an edge area, a corner area and a middle area in combination with a K-means clustering algorithm and Canny edge detection; then, based on a rain flow counting method, time history counting is carried out on the wind pressure coefficient of each subarea measuring point, the number of cycles is obtained through statistics, and roof subarea load cycles are established; the problems that an existing aluminum alloy roof panel fatigue performance testing method is long in testing time consumption and large in result error, actual fatigue damage characteristics are not fully considered, and wind resistance design of an aluminum alloy roof panel is affected are solved.

The application discloses a kind of based on heat dissipation's ultra-high cycle fatigue stress life curve evaluation method.This method is loaded by stepwise increment fatigue stress amplitude to single sample, until the sample breaks;Real-time monitoring test sample surface temperature rise under different stress amplitude and corresponding cycle loading cycle;By analyzing the heat dissipation of single sample under different stress amplitude, the fatigue life limit under each stress amplitude is calculated, and the complete stress life curve is constructed.The number of fatigue test samples is greatly reduced, the ultra-high cycle fatigue stress life curve of the material is quickly obtained, the experimental cost is effectively reduced, and reliable data support is provided for material design and service safety evaluation.

This invention relates to a method for evaluating the fatigue behavior of welded joints, specifically for welded joints of high-strength steel structural components operating under dynamic loads. The method includes the following steps: butt welding two identical substrates to obtain a butt joint with a butt weld seam; placing a vertical plate on the front side of the butt weld seam and performing a fillet weld to obtain a fillet weld seam, resulting in a specimen with both a fillet joint and a butt joint. The welding direction of the fillet weld seam is perpendicular to the welding direction of the butt weld seam, and the center of the fillet weld seam intersects with the center of the butt weld seam; subjecting the specimen to a three-point bending load fatigue test, placing the side of the specimen with the fillet weld seam and the butt weld seam on the tension surface. When the indenter meets the maximum displacement threshold, the specimen is considered to have failed, and the corresponding number of load cycles is taken as the fatigue life of the specimen. This invention can simulate the interaction and fatigue failure behavior of butt weld seams and fillet weld seams under actual dynamic loads, providing indirect fatigue behavior evaluation for large high-strength steel structural components.